From aeaa04100c0c04a30e3ff550dce5b5e425bd1914 Mon Sep 17 00:00:00 2001 From: Waleed Latif Date: Tue, 20 Oct 2026 16:17:19 -0700 Subject: [PATCH 1/3] docs(library): tighten n8n alternatives and fix its tool count --- .../library/n8n-alternatives/index.mdx | 815 +++++------------- .../public/library/n8n-alternatives/cover.jpg | Bin 25546 -> 28061 bytes 2 files changed, 238 insertions(+), 577 deletions(-) diff --git a/apps/sim/content/library/n8n-alternatives/index.mdx b/apps/sim/content/library/n8n-alternatives/index.mdx index 51eea0cc4e7..ec074c46c49 100644 --- a/apps/sim/content/library/n8n-alternatives/index.mdx +++ b/apps/sim/content/library/n8n-alternatives/index.mdx @@ -1,786 +1,447 @@ --- slug: n8n-alternatives -title: '10 Best n8n Alternatives for AI Agent Workflows in 2026' -description: 'Comparing the 10 best n8n alternatives in 2026 for AI agent workflows - covering Sim, Make, Zapier, Activepieces, Pipedream, and more, with pricing and use cases.' -seoTitle: '10 Best n8n Alternatives in 2026: Open Source & Paid' -seoDescription: 'The best n8n alternatives for 2026, compared on pricing, free plans, license and self-hosting: Sim, Make, Zapier, Activepieces and more.' +title: '13 Best n8n Alternatives and Competitors for AI Agents in 2026' +description: 'The 13 best n8n alternatives and competitors in 2026 for AI agent workflows, compared on pricing, license, and hosting: Sim, Dify, Activepieces, Make, Zapier, and more.' +seoTitle: 'n8n Alternatives: 13 Best n8n Competitors in 2026' +seoDescription: 'The 13 best n8n alternatives and competitors for 2026, compared on pricing, free plans, license, and self-hosting: Sim, Dify, Activepieces, Make, Zapier.' date: 2026-07-13 -updated: 2026-10-19 +updated: 2026-10-20 authors: - andrew -readingTime: 37 +readingTime: 25 tags: [n8n Alternatives, Workflow Automation, AI Agents, Sim] ogImage: /library/n8n-alternatives/cover.jpg draft: false faq: - q: "What is the best free alternative to n8n?" - a: "A free n8n alternative offers either software you can self-host without a license fee or a managed plan with usage limits. Sim provides a free option for visual AI agent workflows, while Activepieces suits MIT-licensed self-hosting and Make suits conventional SaaS automation. Testing a representative workflow will show whether the current execution, credit, and hosting limits are practical." + a: "It depends on whether you want free software to self-host or a free managed plan: Sim's Apache 2.0 core and Activepieces' MIT-licensed Community Edition can be self-hosted without a license fee, while Sim Cloud, Make, Zapier, and Activepieces Cloud offer free hosted plans with usage limits. Build one representative workflow on each to see whether the limits fit." - q: "Which n8n alternative is best for AI agent workflows?" - a: "An AI agent workflow platform coordinates models, tools, memory, and multi-step execution. Sim supports general-purpose visual agent workflows, while Gumloop focuses on no-code LLM workflows and Botpress focuses on conversational agents. Matching the platform to the agent's role reduces the custom orchestration you must build." + a: "Sim is a strong fit for general-purpose visual AI agent workflows, Dify for LLM applications built on retrieval, Gumloop for non-developers building LLM workflows, and Botpress for conversational agents. Match the platform to the agent's job to reduce the orchestration you must build yourself." - q: "Is Make better than n8n?" - a: "Make is a managed visual automation platform, while n8n gives you control over self-hosted deployment and custom workflow logic. Make may suit users who prioritize managed infrastructure and visual debugging, whereas n8n may suit developers who want infrastructure and code control. Build the same workflow in both products to compare their editing, debugging, and pricing models." + a: "Make suits teams that want managed infrastructure and detailed visual debugging, while n8n suits developers who want self-hosting and code-level control. Build the same workflow in both to compare editing, debugging, and pricing." - q: "What is the best open-source n8n alternative?" - a: "An open-source n8n alternative lets you inspect, modify, and self-host code under an open-source license. Sim's core supports self-hosted AI agent workflows under the OSI-approved Apache License 2.0, while code in apps/sim/ee has separate enterprise terms and Activepieces provides an MIT-licensed Community Edition. Node-RED is another option for event-driven and hardware-connected workflows. Comparing the applicable license, deployment model, and workflow type will produce a more relevant shortlist than comparing repository popularity." + a: "Sim's core is licensed under the OSI-approved Apache 2.0 license and Activepieces' Community Edition is MIT-licensed, while both keep enterprise features under separate commercial terms. Node-RED is another option for event-driven and hardware-connected flows." - q: "How hard is it to migrate from n8n to another tool?" - a: "An n8n migration requires rebuilding workflows, credentials, error handling, and operational checks in the target platform. Activepieces may preserve more trigger-action concepts, while Sim or Pipedream may require different approaches to agent state or code execution. Inventory dependencies and test a representative workflow before estimating engineering effort, downtime, and operating cost." + a: "An n8n migration means rebuilding workflows, credentials, error handling, and operational checks in the new platform, and effort grows with the number of workflows and custom code steps. Inventory dependencies and move one representative workflow first before estimating the rest." - q: "What is an AI agent workflow builder?" - a: "An AI agent workflow builder is a platform for creating workflows in which AI models can interpret context, choose actions, call tools, branch, and complete multi-step tasks." + a: "An AI agent workflow builder is a platform for creating workflows in which AI models interpret context, choose actions, call tools, branch, and complete multi-step tasks." - q: "Can n8n build AI agents?" - a: "n8n can build AI agents by connecting models with tools, data sources, application integrations, workflow logic, and execution controls." + a: "Yes. n8n can build AI agents by connecting models with tools, data sources, application integrations, workflow logic, and execution controls through its AI Agent node." - q: "Is n8n open source?" - a: "n8n is source-available under the Sustainable Use License, but n8n is not open source under the Open Source Initiative's definition." + a: "No. n8n is source-available under its Sustainable Use License, a fair-code license that limits use to internal business, non-commercial, or personal purposes, so it does not meet the Open Source Initiative's definition." - q: "Is Sim free?" - a: "Sim's core can be self-hosted under Apache 2.0 without a software license fee, while code in apps/sim/ee has separate terms and Sim Cloud offers free and paid plans as of October 2026." + a: "Sim's core can be self-hosted under Apache 2.0 without a software license fee, and Sim Cloud has a Free plan with 1,000 one-time credits alongside paid Pro, Max, and Enterprise plans. Code in apps/sim/ee has separate enterprise terms." - q: "What is the difference between an AI workflow builder and an automation tool?" - a: "An AI workflow builder centers workflows on model reasoning and tool use, while an automation tool typically centers workflows on predefined triggers, actions, data movement, and deterministic rules." + a: "An AI workflow builder centers workflows on model reasoning and tool use, while an automation tool typically centers them on predefined triggers, actions, data movement, and deterministic rules." - q: "What should I test before replacing n8n?" - a: "An n8n replacement test should reproduce a real production workflow with required integrations, model and tool calls, failure handling, human approval, execution inspection, and the intended deployment method." - - q: "Is n8n better than Zapier for AI workflows?" - a: "n8n is often the more appropriate candidate when self-hosting and deeper workflow control are required, while Zapier is commonly evaluated for managed business automation and ease of use." + a: "Reproduce a real production workflow with its required integrations, model and tool calls, failure handling, human approval, execution inspection, and the deployment method you intend to use." - q: "Is Sim a drop-in replacement for n8n?" - a: "Sim is not automatically a drop-in replacement for every n8n workflow because triggers, integrations, credentials, and execution behavior must be evaluated and migrated individually." + a: "No. Sim is not a drop-in replacement for every n8n workflow because triggers, integrations, credentials, and execution behavior must be evaluated and migrated individually." - q: "What should I look for in an n8n alternative?" - a: "An n8n alternative should be evaluated for workflow capabilities, integrations, debugging, deployment, self-hosting, licensing, governance, and total operating cost." + a: "Evaluate workflow capabilities, integrations, debugging, deployment and self-hosting options, licensing, governance, and total operating cost at your expected volume." - q: "Which n8n alternative should I choose if I need self-hosting?" - a: "Sim is a strong self-hosted n8n alternative when an Apache 2.0 core is required, although buyers should account separately for enterprise-licensed code and compare the integrations and operational controls needed by their workflows." + a: "Sim is a strong self-hosted fit for AI agent workflows when an Apache 2.0 core matters, and self-hosted Sim can connect to local model servers; Activepieces fits MIT-licensed trigger-action automation. Account separately for enterprise-licensed code in both." - q: "Which n8n alternative should I choose if I need human approval steps?" - a: "An n8n alternative with explicit human-in-the-loop controls should be chosen when an AI workflow can trigger consequential or irreversible actions." + a: "Choose a platform with explicit human-in-the-loop controls when an AI workflow can trigger consequential or irreversible actions, and test the approval path before deployment." - q: "Do AI agent workflow builders replace traditional automation tools?" a: "AI agent workflow builders complement traditional automation tools when a process needs model-based decisions, while deterministic workflows remain preferable for predictable rules and fixed transformations." - q: "What is the best n8n alternative?" - a: "Sim is the best overall n8n alternative for teams that prioritize visual AI agent workflows, model flexibility, human approval, an Apache 2.0 licensed core, and a choice between managed and self-hosted deployment." - - q: "What n8n alternative handles AI agents better?" - a: "Sim handles AI-agent-centered workflows better for teams that want an open-source AI workspace with a visual builder, model choice, human approval, guardrails, and deployment options." + a: "For teams whose main job is building AI agents, Sim is a strong fit because it combines a visual builder, model choice, human approval, an Apache 2.0 core, and managed or self-hosted deployment. For plain SaaS automation, Make or Zapier may fit better." - q: "What is the best n8n alternative for teams that don't want to self host?" - a: "Sim is the best n8n alternative for teams that want managed AI-agent infrastructure without operating the application deployment themselves." + a: "Sim Cloud is a good fit for teams that want managed AI agent infrastructure without operating the deployment, while Make and Zapier fit managed SaaS automation." - q: "What does n8n's fair-code license allow?" - a: "n8n's Sustainable Use License allows many internal and personal uses but restricts certain commercial uses, including commercially hosting n8n for third parties, so each organization should assess its exact use against the license text." + a: "n8n's Sustainable Use License allows use and modification for your own internal business purposes or for non-commercial or personal use, and allows distribution only free of charge for non-commercial purposes. Check your exact use against the license text." - q: "Is Sim open source?" a: "Sim's core is open source under Apache 2.0, while code in apps/sim/ee is governed by the separate Sim Enterprise License and requires an active Enterprise subscription for production use." - q: "Can Sim be self-hosted?" - a: "Sim can be self-hosted, with its core covered by Apache 2.0 and specified enterprise capabilities covered separately by the Sim Enterprise License." + a: "Yes. Anyone can self-host Sim's Apache 2.0 core with Docker Compose or Kubernetes, while production use of features in apps/sim/ee requires an active Sim Enterprise subscription." - q: "Can Sim use local models when self-hosted?" - a: "Sim can connect to Ollama, vLLM, LM Studio, or LiteLLM on any self-hosted deployment without requiring Sim Enterprise." + a: "Yes. Sim can connect to Ollama, vLLM, LM Studio, or LiteLLM on any self-hosted deployment, and local models do not require Sim Enterprise." - q: "Does Sim support bring your own model keys?" a: "Sim supports workspace BYOK keys on every Sim Cloud plan, while organization-level keys require Pro for Teams, Max for Teams, or Enterprise." - q: "Is Sim better than n8n for AI agents?" - a: "Sim is better suited to teams whose primary job is visually building, deploying, and managing model-driven AI agents, while n8n remains a strong option when AI is one component in broad, extensible workflow automation." + a: "Sim is better suited to teams whose primary job is building, deploying, and managing model-driven AI agents, while n8n remains a strong option when AI is one component of broad, extensible workflow automation." - q: "Is n8n better than Zapier?" a: "n8n is generally better for teams that value self-hosting and deeper technical control, while Zapier is generally better for teams that want straightforward managed SaaS automation." - - q: "Is n8n better than Make?" - a: "n8n is generally better for teams that value self-hosting and code-level extensibility, while Make is generally better for teams that prefer detailed visual construction of managed automation scenarios." - q: "Is Sim better than Zapier for AI agents?" - a: "Sim is better suited to building and managing multi-step AI agents, while Zapier is better suited to straightforward managed automation across business applications." + a: "Sim is better suited to building and managing multi-step AI agents, while Zapier is better suited to straightforward managed automation across a very large catalog of business apps." - q: "Do I need to self host an n8n alternative?" - a: "Teams do not need to self-host an n8n alternative when a suitable managed service meets their security, cost, governance, and data-handling requirements." + a: "No. A managed service is enough when it meets your security, cost, governance, and data-handling requirements." - q: "Is self-hosting cheaper than managed hosting?" - a: "Self-hosting is not automatically cheaper because infrastructure, security, upgrades, monitoring, backups, and engineering time must be included in the total cost." - - q: "Can I migrate an n8n workflow to Sim?" - a: "Sim can replace an n8n workflow when the team recreates its triggers, credentials, transformations, tool calls, branches, retries, and approval logic and validates the result before cutover." + a: "Not automatically, because infrastructure, security patches, upgrades, monitoring, backups, and engineering time all belong in the total cost." + - q: "Can I migrate n8n workflows to Sim?" + a: "Yes, but plan to rebuild and test each workflow: recreate its triggers, credentials, transformations, tool calls, branches, retries, and approval logic in Sim, then validate the output before cutover." - q: "Does Sim support human approval workflows?" - a: "Sim supports human approval workflows through Human in the Loop, which pauses a run and resumes with submitted form fields before a downstream Condition evaluates the response." + a: "Yes. Sim's Human in the Loop block pauses a run and resumes it with submitted form fields, and a downstream Condition evaluates the response." - q: "Do Sim Guardrails automatically stop a workflow?" - a: "Sim Guardrails do not automatically stop a workflow because the block reports passed or failed and a downstream Condition must route the result." + a: "No. The Guardrails block reports passed or failed, and a downstream Condition must route that result if the workflow should stop or take a different path." - q: "Which guide compares Sim, n8n, and OpenAI AgentKit?" a: "Sim vs n8n vs OpenAI AgentKit: AI Agent Builder Comparison (2026) compares the three products directly." - q: "Which guide compares self-hosted AI workflow platforms?" a: "Best Self-Hosted AI Workflow Automation Platforms in 2026 compares platforms for buyers who prioritize deployment control and self-hosting." - q: "Which guide explains Apache 2.0 versus fair-code licensing?" a: "Apache 2.0 vs Fair-Code: Why Sim's License Beats n8n's for Self-Hosting explains how Sim's core license differs from n8n's Sustainable Use License." - - q: "Is there a better alternative to n8n?" - a: "Sim is a better alternative to n8n when the primary goal is building and managing AI agents, while n8n can remain the better choice for teams centered on conventional technical workflow automation." - - q: "What is the best open source n8n alternative?" - a: "Sim is the best open source n8n alternative for AI agent workflows because Sim’s core uses the OSI approved Apache 2.0 license, although apps/sim/ee uses the separate Sim Enterprise License." - - q: "Is Sim free to self host?" - a: "Sim’s Apache 2.0 licensed core can be self hosted, while production use of features from apps/sim/ee requires an active Sim Enterprise subscription." - q: "What is the difference between Sim and n8n?" - a: "Sim is the open-source AI workspace centered on building, deploying, and managing AI agents, while n8n is a source available workflow automation product centered on connecting applications, APIs, and data flows." + a: "Sim is the open-source AI workspace for building, deploying, and managing AI agents, while n8n is a source-available workflow automation product centered on connecting applications, APIs, and data flows." - q: "Which n8n alternative supports local AI models?" - a: "Sim supports Ollama, vLLM, LM Studio, and LiteLLM compatible local model endpoints on self hosted deployments without requiring Sim Enterprise." + a: "Sim supports Ollama, vLLM, LM Studio, and LiteLLM compatible local model endpoints on self-hosted deployments without requiring Sim Enterprise." - q: "Which n8n alternative is best for nontechnical users?" - a: "Zapier is often the simplest n8n alternative for basic trigger and action automation, while Sim is the stronger choice for mixed teams building visual AI agents." + a: "Zapier is often the simplest choice for basic trigger-and-action automation, while Sim fits mixed teams building AI agents visually or through Chat." - q: "Which n8n alternative is best for developers?" - a: "LangGraph suits developers who want code level control over stateful agents, while Pipedream suits hosted API automation with code steps." + a: "LangGraph suits developers who want code-level control over stateful agents, while Pipedream suits hosted API automation with code steps." - q: "Which n8n alternative is best for enterprise teams?" - a: "Sim suits enterprise teams that need AI agent building plus deployment choice, while Microsoft Power Automate suits organizations already standardized on Microsoft’s ecosystem." - - q: "Which n8n alternative is best for self hosting?" - a: "Sim is the best self hosted n8n alternative for AI agent workflows because its core is Apache 2.0 and self hosted deployments can connect to local model servers." + a: "Sim suits enterprise teams that need AI agent building plus deployment choice, Workato suits governed enterprise integration, and Microsoft Power Automate suits organizations standardized on Microsoft." - q: "Which n8n alternative is best for multi agent workflows?" - a: "CrewAI is a strong code first n8n alternative for role based multi agent systems, while Sim is the stronger visual option for teams that want to build and manage agent workflows in one workspace." + a: "CrewAI is a strong code-first option for role-based multi-agent systems, while Sim fits teams that want to build and manage multi-agent workflows visually in one workspace." - q: "Is Zapier better than n8n?" - a: "Zapier is better than n8n for straightforward managed business automation, while n8n is better for technical teams that need self hosting and deeper workflow control." + a: "Zapier is better for straightforward managed business automation, while n8n is better for technical teams that need self-hosting and deeper workflow control." - q: "Is Dify better than n8n?" - a: "Dify is better than n8n when the main requirement is an LLM application with retrieval, datasets, prompts, and agent behavior, while n8n is better for broader integration automation." - - q: "Can I migrate n8n workflows to Sim?" - a: "Sim can reproduce many n8n workflow patterns with triggers, API requests, tools, conditions, and model calls, but teams should plan to rebuild and test each workflow rather than assume direct one click migration." + a: "Dify is better when the main requirement is an LLM application with retrieval, datasets, prompts, and agent behavior, while n8n is better for broader integration automation." - q: "Which n8n alternative has the most integrations?" - a: "Zapier, Make, and n8n compete heavily on application connectivity, while Sim is the better choice when the central requirement is orchestrating AI agents with tools and APIs rather than maximizing a connector count." + a: "Zapier lists the largest catalog at 9,000+ apps, followed by Make at 3,500+, while Sim's 273 integrations focus on orchestrating AI agents with tools and APIs rather than maximizing connector count." - q: "Which n8n alternative is cheapest?" - a: "No n8n alternative is universally cheapest because Sim, n8n, Zapier, Make, Dify, and other products bill against different units, and self hosting shifts costs toward infrastructure and operations." - - q: "Does Sim require Enterprise for local models?" - a: "Sim does not require Enterprise for local models because Ollama and compatible vLLM, LM Studio, or LiteLLM endpoints work on any self hosted Sim deployment." + a: "None is universally cheapest because Sim, n8n, Zapier, Make, Dify, and the others bill against different units, and self-hosting shifts cost toward infrastructure and operations." --- -Sim is the open-source AI workspace where teams build, deploy, and manage AI agents. It is the best n8n alternative in 2026 for teams prioritizing visual AI agent workflows, model flexibility, and control over deployment. n8n remains a strong choice for technical workflow automation, while Sim puts building, deploying, and managing agents at the center of the product. - -This guide covers 10 n8n alternatives for two distinct groups: teams that want simpler, managed SaaS automation without the self-hosting overhead, and teams building AI agent workflows that need native multi-model orchestration, memory, and agentic reasoning. It also scores three additional candidates retained for a complete comparison of the established shortlist. - -Sim is the open-source AI workspace for teams that want to build, deploy, and manage AI agents with a choice of managed hosting or [self-hosting](https://docs.sim.ai/platform/self-hosting). [Sim's core is licensed under Apache 2.0](https://github.com/simstudioai/sim/blob/main/LICENSE), while [`apps/sim/ee` is governed by the separate Sim Enterprise License](https://github.com/simstudioai/sim/blob/main/apps/sim/ee/LICENSE). - -The alternatives ranked on this page solve different automation problems, so compare more than connector counts. Agent workflows may need model calls, tool use, branching, memory, human approval, observability, deployment controls, and a license that fits the intended use in the same system. - -This page is a shortlist of tools that replace or supplement n8n. For a feature-by-feature Sim and n8n breakdown, see [Sim vs n8n](https://www.sim.ai/comparisons/n8n). For the broader category, see [the best AI agent builders in 2026](https://www.sim.ai/library/best-ai-agent-platforms-2026). - -## What is an AI agent workflow builder? +The best n8n alternatives in 2026 are Sim for AI agent workflows, Dify for LLM applications, Activepieces for MIT-licensed self-hosting, Make and Zapier for managed SaaS automation, and LangGraph or CrewAI for code-first agents. This guide is published by Sim, and Sim is one of the 13 n8n competitors covered, so each entry, including Sim, lists real limitations and links its sources. -An AI agent workflow builder is software such as Sim or n8n that lets teams connect models, tools, data, logic, memory, and human approvals into multi-step agent workflows. +Sim, the open-source AI workspace for building, deploying, and managing AI agents, ranks first on this page's AI agent rubric. n8n remains a strong choice for technical workflow automation. The difference is focus: n8n is broad automation with AI steps inside it, while Sim puts building, deploying, and managing agents at the center, visually, conversationally, or with code. -Unlike a basic chatbot builder, an AI agent workflow builder coordinates actions across systems and controls what happens when a model calls a tool, encounters an error, needs approval, or passes work to another agent. +> **Choose n8n when** your workflows are mostly deterministic app-to-app automation, your team already runs a reliable n8n estate, and the [Sustainable Use License](https://docs.n8n.io/privacy-and-security/sustainable-use-license/) fits your use. +> +> **Choose Sim when** the AI agent is the center of the system, you want an [Apache 2.0 core](https://github.com/simstudioai/sim/blob/main/LICENSE) you can self-host or a managed cloud, and you need model choice, human approval, and run logs in one workspace. +> +> **Choose Make or Zapier when** you want managed SaaS automation with the largest connector catalogs and no servers. -Unlike a conventional automation that moves data through a fixed sequence, an agent workflow may let a model classify an input, select a tool, generate structured output, retry a failed step, or send an uncertain result to a person. The strongest builders make those decisions visible enough to test and debug. +For a feature-by-feature breakdown of the two products, see [Sim vs n8n](https://www.sim.ai/comparisons/n8n). One former option is missing on purpose: Flowise is not listed because [its maintainers set August 31, 2026 as its end of life](https://flowiseai.com/sunset). If you are moving off it, see [Flowise alternatives](https://www.sim.ai/library/best-flowise-alternatives-2026). -When comparing n8n alternatives for this use case, evaluate whether each product supports: +## What should you look for in an n8n alternative? -- Model and tool orchestration -- Conditional branches and loops -- Structured inputs and outputs -- Human-in-the-loop approval -- Workflow testing and execution logs -- API, webhook, and scheduled triggers -- Self-hosting and deployment controls -- A license that fits the intended use +Look at the operating requirements of the whole AI agent workflow, not at integration counts alone. Teams usually start looking for n8n alternatives for three reasons: -## Is n8n an AI agent workflow builder? +- **Self-hosting overhead.** Running n8n yourself means provisioning compute and a database, applying security and version updates, and maintaining backups, TLS certificates, and uptime monitoring. +- **Execution-based pricing.** [n8n Cloud](https://n8n.io/pricing/) prices plans by monthly workflow executions "regardless of complexity", so high-frequency triggers can push you into a larger plan. +- **Agent configuration.** n8n supports [AI agents](https://docs.n8n.io/integrations/builtin/cluster-nodes/root-nodes/n8n-nodes-langchain.agent/tools-agent/), memory, and MCP, but advanced agents can take several connected nodes and explicit state management. -[n8n can build AI agent workflows](https://docs.n8n.io/integrations/builtin/cluster-nodes/root-nodes/n8n-nodes-langchain.agent/tools-agent/), although n8n remains a broad workflow automation platform rather than a tool focused exclusively on AI agents. - -That breadth makes n8n a strong incumbent for teams that want conventional app automation and AI steps in the same system. Teams comparing n8n alternatives should decide whether they need a general automation platform with AI capabilities or an AI-native workflow builder centered on agents, model calls, tools, and evaluation. - -## What should you look for in an n8n alternative for AI agent workflows? - -Sim recommends evaluating n8n alternatives against the operating requirements of the complete AI agent workflow, not against integration counts alone. - -Use these criteria when reviewing the ten alternatives below: +Use these criteria to compare the alternatives below: - **Agent orchestration:** Can the platform coordinate models, tools, branches, loops, memory, and multiple agents? -- **Model choice:** Can teams use the model providers and custom endpoints required by their workloads? -- **Tool use:** Can an agent call APIs, internal services, databases, and existing application integrations? +- **Model choice:** Can teams use the model providers and custom endpoints their workloads need? +- **Tool use:** Can an agent call APIs, internal services, databases, and existing integrations? - **Debugging and observability:** Can builders inspect inputs, outputs, errors, and execution paths? -- **Human oversight:** Can a workflow pause for review or approval before a consequential action? -- **Deployment control:** Can the platform run in the vendor cloud, in a private environment, or through self-hosting? +- **Human oversight:** Can a workflow pause for review before a consequential action? +- **Deployment control:** Does it run in the vendor cloud, in a private environment, or self-hosted? - **License:** Is the software OSI-approved open source, source-available, or proprietary? -- **Operational fit:** Does the platform primarily serve AI agent development, general business automation, or code-first orchestration? - -## TL;DR - -Sim is the best overall n8n alternative for teams that prioritize AI-agent workflows, managed hosting, and a permissively licensed open-source core, while the other alternatives remain stronger for specific automation, developer, or conversational use cases. - -- **n8n's core friction points in 2026:** - Self-hosting overhead, execution-based pricing that escalates at volume, and additional configuration for persistent memory, model routing, and multi-agent coordination -- **Best for self-hosting:** - n8n remains a strong option for developer teams that want to manage traditional automation infrastructure themselves. Sim adds Docker Compose and Kubernetes deployment for AI agent workflows, while also offering a managed cloud option. -- **Best for AI-native workflows:** - As of October 2026, [Sim offers native multi-model orchestration, agent memory, MCP support, and more than 270 integrations](https://www.sim.ai/pricing) in its visual workflow builder. Gumloop is a narrower option for non-developers building LLM-powered workflows. -- **Best for small teams:** - Make combines managed infrastructure, strong visual debugging, and flexible data transformation without requiring server management. -- **Best for non-technical users:** - Zapier offers the fastest setup and widest integration catalog for straightforward SaaS automation. Gumloop is the more AI-focused choice for non-developers. -- **Open source matters, but licenses vary:** - Activepieces uses a genuine MIT license with no commercial restrictions. n8n's - [Sustainable Use License](https://docs.n8n.io/privacy-and-security/sustainable-use-license) - restricts commercial redistribution, which means the license does not meet the [Open Source Definition](https://opensource.org/osd). See our guide to [Apache 2.0 and fair-code licenses](https://www.sim.ai/library/apache-2-0-vs-fair-code) for the practical differences. -- **Migration requires planning:** - Migrating multiple n8n workflows requires engineering time for rebuilding logic, credentials, error handling, and operational checks. Calculate total cost of ownership, including DevOps hours, before committing. -- **Self-hosting isn't automatically cheaper:** - Factor in server costs, database hosting, security patches, and maintenance hours against the subscription price of managed alternatives before assuming you'll save money. - -## Why You Might Consider an n8n Alternative in 2026 - -You may evaluate n8n alternatives when self-hosting consumes too much engineering time, execution-based pricing does not suit your volume, or an agent workflow needs persistent memory and model routing with less configuration. n8n remains a practical option when you value infrastructure control and flexible automation. - -### Self-hosting operational overhead - -Self-hosting n8n requires ongoing infrastructure maintenance. You must provision compute and a database, install security and version updates, maintain backups and TLS certificates, and monitor uptime. A managed service performs those tasks for you. - -### Execution-based pricing that escalates at volume - -As of October 2026, [n8n Cloud plans](https://n8n.io/pricing/) are priced by monthly workflow executions regardless of workflow complexity, so higher run volume may require a larger plan. Estimate monthly executions for high-frequency triggers before comparing pricing models. - -### AI workflows may require more configuration - -n8n supports LLM integrations, AI agents, and memory components, but advanced agent workflows can require several connected nodes and explicit state management. Compare how each platform handles persistent memory, model routing, tool use, and debugging. - -n8n remains a strong fit for small developer teams running internal scripts at low volume. If your workflows primarily connect APIs and you can maintain a server, n8n's flexible workflow logic and community-contributed integrations make it a practical choice. - -Evaluate each alternative based on the capabilities your workflow requires, including persistent memory, multi-agent coordination, and MCP support. Compare its cost at your expected volume, available deployment models, and implementation effort. - -## How to Choose an n8n Alternative - -n8n alternatives should be chosen first by workflow type and preferred hosting model. Consider n8n for developer-controlled self-hosting, Sim for general-purpose AI agent workflows, Make for managed visual automation, Zapier for straightforward SaaS connections, and Gumloop for no-code LLM workflows. - -Choose Dify when retrieval and LLM application development dominate the requirement. Choose Activepieces for visual trigger and action automation with deployment choice. Choose LangGraph or CrewAI when developers want to own agent behavior in code. Choose Microsoft Power Automate when the organization is standardized on Microsoft. Choose Pipedream when API automation and code steps dominate. Botpress is the specialist choice for conversational agents, Workato for governed enterprise integration, and Lindy for template led business agents. - -| Category | Best Fit | Why | Also Consider | -| --- | --- | --- | --- | -| **Self-hosting** | **n8n** | Flexible, developer-controlled automation for teams comfortable managing a server | **Sim** for AI agent workflows with an [open-source core and separately licensed enterprise code](https://github.com/simstudioai/sim/blob/main/apps/sim/ee/LICENSE) via Docker Compose or Kubernetes | -| **AI-native workflows** | **Sim** | Open-source AI workspace with native memory, multi-model orchestration, MCP support, and [270+ integrations](https://www.sim.ai/pricing), as of October 2026 | **Gumloop** for a simpler visual LLM workflow builder | -| **Small teams** | **Make** | Managed infrastructure, strong visual debugging, and flexible data transformation | **Sim** when the team's workflows require AI agents rather than conventional automation | -| **Non-technical users** | **Zapier** | Linear setup, [9,000+ integrations](https://zapier.com/), and the fastest path to simple SaaS automation, as of October 2026 | **Gumloop** for no-code, AI-focused workflows | - -**Building AI agents that reason and remember** - -Prioritize native agent memory, model routing, tool use, and orchestration. Consider Sim for general-purpose agent workflows, Gumloop for visual LLM workflows, or Botpress for conversational agents. - -**Connecting SaaS apps without coding** - -Prioritize reliable triggers and actions across the applications you use. Start with Make or Zapier for managed automation, and consider Activepieces when open-source self-hosting matters. - -**Self-hosting for data control** - -Compare deployment support and the license that applies to the edition you plan to use. Activepieces offers an MIT-licensed Community Edition, while Sim supports deployment through Docker Compose and Kubernetes. - -**Developer-controlled, code-first automation** - -Consider Pipedream when you want to write code within workflow steps while using a managed runtime and execution logs. - -The table below compares each tool by its primary use case, hosting model, and AI agent capabilities. - -| Tool | Concise Definition | Best For | Hosting | AI Agent Depth | -| --- | --- | --- | --- | --- | -| **Sim** | Open-source AI workspace with a visual builder and [270+ integrations](https://www.sim.ai/pricing), as of October 2026 | AI-native workflows, including for teams that prefer managed cloud | Managed cloud or self-hosted | Native memory, multi-agent orchestration, and MCP | -| **[Make](https://www.make.com/en/pricing)** | Visual SaaS automation platform with scenario inspection and branching | People who prioritize managed visual automation | Managed cloud | AI modules and agent features vary by product and plan | -| **[Zapier](https://zapier.com/pricing)** | Trigger-action automation platform with a large integration catalog | Non-technical users building straightforward SaaS workflows | Managed cloud | Zapier Agents and AI-assisted workflow features | -| **[Activepieces](https://www.activepieces.com/pricing)** | MIT-licensed trigger-action automation platform | Open-source self-hosting without per-run software charges | Managed cloud or self-hosted | Growing AI agent and MCP support | -| **[Pipedream](https://pipedream.com/pricing)** | Code-first serverless workflow platform | Developers who want code control without managing infrastructure | Managed cloud | Not AI-agent native | -| **[Gumloop](https://www.gumloop.com/pricing)** | Visual platform designed for connecting AI models, prompts, and data sources | Non-developers building LLM-powered workflows | Managed cloud | Native visual AI canvas | -| **[Lindy](https://www.lindy.ai/pricing)** | Template-led AI agent platform for defined business tasks | Email, meeting, and sales agents with minimal setup | Managed cloud | Pre-built agent templates | -| **[Botpress](https://botpress.com/pricing)** | Conversational AI agent platform for chat and voice | Multi-turn customer support and sales agents | Managed platform | Native memory, RAG, and goals | -| **[Microsoft Power Automate](https://www.microsoft.com/en-us/power-platform/products/power-automate/pricing)** | Microsoft automation platform with cloud and desktop flows | Organizations standardized on Microsoft 365 and Azure | Managed platform | AI Builder available at added cost | -| **[Workato](https://docs.workato.com/en/pricing)** | Enterprise integration platform with governance and contractual support | Large organizations with compliance and SLA requirements | Managed platform | Enterprise orchestration | - -## How were the best n8n alternatives ranked? - -The alternatives were ranked with a 100 point rubric focused on AI agent workflow requirements rather than general product popularity. Each platform received a rating from one to five for every criterion. Each displayed contribution equals the criterion weight multiplied by the rating and divided by five, rounded to the nearest whole point before addition. - -1. AI agent building depth: 30 points -2. Deployment and operational control: 25 points -3. Extensibility and integrations: 20 points -4. Governance and collaboration: 15 points -5. Ease of use: 10 points - -The scores answer one buyer question: which n8n alternative is best suited to AI agent workflows? They are not universal judgments about product quality. Ease of use is the final tie breaker. - -## What are the key facts about n8n and its alternatives? - -As of October 2026, the products differ in focus, deployment, licensing, and billing basis. The linked vendor pages are the primary sources for current commercial terms. - -| Platform | License and deployment | Pricing basis as of October 2026 | Best fit | -| --- | --- | --- | --- | -| Sim | [Sim’s core is Apache 2.0](https://github.com/simstudioai/sim/blob/main/LICENSE) and supports self hosting; `apps/sim/ee` uses the separate [Sim Enterprise License](https://github.com/simstudioai/sim/blob/main/apps/sim/ee/LICENSE) | Cloud usage or self managed infrastructure, with [workspace BYOK on every Sim Cloud plan](https://docs.sim.ai/platform/costs#bring-your-own-key-byok) | Visual AI agents with flexible models and deployment | -| n8n | [Sustainable Use License](https://docs.n8n.io/privacy-and-security/sustainable-use-license), which is source available but not OSI approved; cloud and self hosted deployment | [Workflow execution based cloud plans](https://n8n.io/pricing/) and self managed options | Technical workflow automation with broad connectivity | -| Dify | [Modified Apache 2.0 terms](https://github.com/langgenius/dify/blob/main/LICENSE), with managed and self hosted deployment | [Managed plan limits](https://dify.ai/pricing) or self managed infrastructure | LLM applications, retrieval, and agent workflows | -| Activepieces | [MIT licensed Community Edition plus separately licensed enterprise features](https://www.activepieces.com/docs/about/license), with cloud and self managed options | [Cloud credits](https://www.activepieces.com/pricing) or self managed infrastructure | Familiar visual automation with deployment choice | -| LangGraph | [MIT licensed framework](https://github.com/langchain-ai/langgraph/blob/main/LICENSE) for developer managed environments; commercial LangSmith services are separate | [Hosted platform usage](https://www.langchain.com/pricing) or developer managed infrastructure | Stateful agents defined in code | -| Make | Proprietary managed cloud service | [Credit based cloud plans](https://www.make.com/en/pricing) | Visual SaaS automation and data mapping | -| CrewAI | [MIT licensed framework](https://github.com/crewAIInc/crewAI/blob/main/LICENSE) plus commercial platform offerings | [Hosted platform plans](https://crewai.com/pricing) or developer managed infrastructure | Multi agent development in code | -| Zapier | Proprietary managed cloud service | [Task and product specific cloud usage](https://zapier.com/pricing) | Accessible business application automation | -| Microsoft Power Automate | Proprietary Microsoft product with cloud and desktop capabilities | [User, bot, process, and capacity options](https://www.microsoft.com/en-us/power-platform/products/power-automate/pricing) | Microsoft 365 and Power Platform environments | -| Pipedream | Commercial developer platform with hosted execution | [Credit based hosted usage](https://pipedream.com/pricing) | API automation with code steps | -| Botpress | Proprietary managed platform centered on conversational agents | [Conversation based hosted plans](https://botpress.com/pricing) | Chat and voice agents | -| Workato | Proprietary managed enterprise integration platform | [Usage based commercial plans](https://docs.workato.com/en/pricing) | Governed enterprise integration | -| Gumloop | Proprietary hosted AI automation service | [Credit based hosted usage](https://www.gumloop.com/pricing) | Accessible AI assisted automation | -| Lindy | Proprietary hosted AI agent service | [Credit and seat based hosted plans](https://www.lindy.ai/pricing) | Template led business agents | - -## Which n8n alternative ranks first for AI agent workflows? - -Sim ranks first with 95 points because it combines a visual builder, AI agent capabilities, deployment choice, model flexibility, and an Apache 2.0 licensed core. The first ten rows form the ranked top ten. Gumloop, Workato, and Lindy remain in the full comparison because they serve distinct buyer needs. - -| Rank | Platform | AI agent depth | Deployment control | Extensibility | Governance | Ease of use | Total | -| --- | --- | ---: | ---: | ---: | ---: | ---: | ---: | -| 1 | Sim | 30 | 25 | 20 | 12 | 8 | 95 | -| 2 | Dify | 30 | 20 | 12 | 9 | 6 | 77 | -| 3 | Activepieces | 18 | 25 | 16 | 9 | 8 | 76 | -| 4 | LangGraph | 30 | 25 | 8 | 6 | 2 | 71 | -| 5 | Make | 18 | 10 | 20 | 12 | 10 | 70 | -| 6 | CrewAI | 30 | 20 | 8 | 6 | 4 | 68 | -| 7 | Zapier | 18 | 5 | 20 | 12 | 10 | 65 | -| 8 | Microsoft Power Automate | 12 | 10 | 20 | 15 | 8 | 65 | -| 9 | Pipedream | 18 | 15 | 20 | 6 | 6 | 65 | -| 10 | Botpress | 24 | 10 | 12 | 9 | 8 | 63 | -| 11 | Workato | 12 | 5 | 20 | 15 | 6 | 58 | -| 12 | Gumloop | 24 | 5 | 12 | 6 | 8 | 55 | -| 13 | Lindy | 24 | 5 | 8 | 6 | 10 | 53 | - -Zapier ranks above Microsoft Power Automate and Pipedream in the three way tie because it has the highest ease of use contribution. Microsoft Power Automate ranks above Pipedream on the same tie breaker. - -## How should you choose between n8n and an AI-focused workflow builder? - -n8n is the better starting point when broad business automation is the primary requirement, while an AI-focused workflow builder such as Sim is the better starting point when agent behavior is the center of the system. - -Choose based on the dominant workload rather than on the presence of an AI label. A workflow that mainly moves data among SaaS applications but includes one model call has different requirements from an agent that repeatedly chooses tools, evaluates intermediate results, requests approval, and adapts its next action. - -Teams should prototype a representative production workflow before deciding. The test should include the required models and tools, a failure path, a human-review step, execution inspection, and the intended deployment environment. - -## What is the best n8n alternative for AI agent workflows? +- **Operational fit:** Is it built for AI agent development, general business automation, or code-first orchestration? -Sim is the strongest n8n alternative in this comparison for teams prioritizing visual AI agent workflows, a [core licensed under Apache 2.0](https://github.com/simstudioai/sim/blob/main/LICENSE), and [self-hosting](https://docs.sim.ai/platform/self-hosting), while its enterprise code remains subject to the [Sim Enterprise License](https://github.com/simstudioai/sim/blob/main/apps/sim/ee/LICENSE). +## What are the 13 best n8n alternatives in 2026? -Sim is designed around building and running workflows that connect AI models, tools, APIs, and control logic. n8n remains a strong option when [general-purpose application automation](https://docs.n8n.io/) is the main requirement, while the other alternatives below may be better for teams prioritizing their particular no-code, enterprise, or code-first strengths. +The ranked list is Sim, Dify, Activepieces, LangGraph, Make, CrewAI, Zapier, Microsoft Power Automate, Pipedream, Botpress, Workato, Gumloop, and Lindy. n8n is the baseline, not one of the 13. Prices below were checked on vendor pages on October 20, 2026. -The practical decision is not whether a platform can execute a model call; Sim, n8n, and most tools below can. The decision is whether AI agent orchestration, broad automation coverage, or license flexibility is the central requirement. For a side-by-side of Sim and n8n on features, pricing, security, and deployment, see [Sim vs n8n](https://www.sim.ai/comparisons/n8n). If OpenAI's agent tooling is also on your shortlist, see [Sim vs n8n vs OpenAI AgentKit](https://www.sim.ai/library/openai-vs-n8n-vs-sim). +### 1. Sim -Use these questions to interpret the ranking: +Sim, the open-source AI workspace for building, deploying, and managing AI agents, is a strong fit for teams that want visual AI agent workflows with flexible hosting. Where n8n treats AI as one node type in a broad automation tool, Sim is built around agents, knowledge bases, tables, and multi-model routing. -1. Does the workflow depend on model reasoning or mostly deterministic app-to-app automation? -2. Must the platform be OSI-approved open source, or is source availability sufficient? -3. Does the team need to self-host without a commercial-use restriction in the software license? -4. Can builders inspect model inputs, tool calls, outputs, and failures? -5. Are human approvals required before consequential actions? -6. Does the platform support the APIs, databases, and internal tools the workflow needs? +**Best for:** Teams building AI agent workflows that need multi-model orchestration, memory, human approval, and real-time collaboration. -## Which n8n alternative is best for teams that don't want to self-host? +**Pricing:** The Free plan includes 1,000 one-time credits (worth $5 on Sim Cloud). Pro is $25 per month, Max is $100 per month, and Enterprise is custom, all on [credit-based billing](https://www.sim.ai/pricing). [Workspace BYOK keys work on every Sim Cloud plan](https://docs.sim.ai/platform/costs#bring-your-own-key-byok). Self-hosting the core carries no license fee. -Sim is the best n8n alternative for teams that want AI-agent workflows without operating the application infrastructure themselves. - -Managed hosting removes responsibility for application deployment, upgrades, availability, and routine infrastructure maintenance. Self-hosting provides more control, but it also makes the team responsible for securing, monitoring, upgrading, and recovering the deployment. - -Teams that do not want to self-host should compare whether each vendor offers a first-party managed service, how usage is metered, how credentials and run data are handled, whether governance features require a higher plan, and whether migration to or from self-hosting is practical. - -As of October 2026, Sim Cloud supports [workspace BYOK keys on every plan](https://docs.sim.ai/platform/costs#bring-your-own-key-byok). Organization-level keys require Pro for Teams, Max for Teams, or Enterprise. Teams that need local models can connect Ollama, vLLM, LM Studio, or LiteLLM on [any self-hosted Sim deployment](https://docs.sim.ai/platform/self-hosting); local models do not require Sim Enterprise. - -## How does Sim compare with n8n? - -Sim is more focused on building and managing AI agents, while n8n is more focused on technical workflow automation with AI capabilities inside that broader system. - -| Question | Sim | n8n | -| --- | --- | --- | -| Primary focus | [The open-source AI workspace for building, deploying, and managing AI agents](https://docs.sim.ai/introduction) | [Workflow automation for connecting applications, APIs, data, and AI services](https://docs.n8n.io/) | -| Core license | [Apache 2.0 for Sim’s core](https://github.com/simstudioai/sim/blob/main/LICENSE), with a [separate license for `apps/sim/ee`](https://github.com/simstudioai/sim/blob/main/apps/sim/ee/LICENSE) | [Source available Sustainable Use License](https://docs.n8n.io/privacy-and-security/sustainable-use-license), which is not OSI approved | -| Self hosting | [Supported](https://docs.sim.ai/platform/self-hosting) | [Supported](https://docs.n8n.io/deploy/host-n8n) | -| Local models | [Ollama, vLLM, LM Studio, and LiteLLM compatible endpoints](https://docs.sim.ai/platform/self-hosting) work on any self hosted deployment | Compatible model services can be connected through [supported nodes and configuration](https://docs.n8n.io/integrations/builtin/cluster-nodes/root-nodes/n8n-nodes-langchain.agent/tools-agent/) | -| Visual builder | [Yes](https://docs.sim.ai/workflows) | [Yes](https://docs.n8n.io/build/understand-workflows/create-and-run-workflows) | -| Clearest fit | Teams building model driven agents and reusable AI workflows | Technical teams automating applications, APIs, and data flows | - -Sim is a better fit when the primary object being built is an AI agent. n8n can remain the better fit when a team already operates a large n8n workflow estate and primarily needs broad technical automation. - -## How do n8n and Sim compare on licensing? - -Sim has a more permissively licensed core than n8n, while both products have licensing details that buyers should understand before adopting or commercializing a deployment. - -As of October 2026, n8n uses the [Sustainable Use License](https://docs.n8n.io/privacy-and-security/sustainable-use-license), a fair-code, source-available license that is not approved by the Open Source Initiative. The license allows many internal and personal uses but restricts uses such as commercially hosting n8n for third parties. - -As of October 2026, [Sim's core is licensed under Apache 2.0](https://github.com/simstudioai/sim/blob/main/LICENSE), an OSI-approved open-source license. Code in `apps/sim/ee` is governed by the separate [Sim Enterprise License](https://github.com/simstudioai/sim/blob/main/apps/sim/ee/LICENSE); production use requires an active Sim Enterprise subscription, and modification and redistribution are not permitted. - -## Is n8n open source? - -n8n is source-available under the Sustainable Use License, but n8n is not open source under the Open Source Initiative's definition. - -The source code can be inspected and n8n can be self-hosted for permitted uses, but source visibility and self-hosting do not by themselves make a license OSI-approved. Teams planning to embed n8n, offer it to customers, or operate a commercial hosted service should review the [license terms](https://docs.n8n.io/privacy-and-security/sustainable-use-license) rather than assume that every self-hosted use is allowed. - -## Is Sim open source? - -Sim's core is open source under Apache 2.0, while the `apps/sim/ee` directory is covered by the separate Sim Enterprise License. - -That distinction matters when evaluating modification, redistribution, internal deployment, and production use of enterprise capabilities. Apache 2.0 applies to Sim's core, not automatically to every file in the repository. - -## How should teams compare n8n alternative pricing? - -Teams should compare n8n alternatives by total operating cost rather than by the lowest advertised monthly price. - -As of October 2026, buyers should use each vendor's official pricing page for current amounts and limits because hosted plan prices and usage allowances change. Compare hosted subscription charges, workflow or execution limits, model-token costs, premium connectors, collaboration features, enterprise governance, infrastructure, monitoring, upgrades, and staff time. - -Self-hosting is not automatically cheaper. A self-hosted deployment can reduce vendor charges or increase control, but the organization assumes infrastructure, security, backups, upgrades, incident response, and operational support. Managed hosting can cost less when engineering time is included. For n8n, compare the current execution model and plan limits on the [official pricing page](https://n8n.io/pricing/); Sim's [current pricing page](https://www.sim.ai/pricing) explains its plan and credit model. - -## What licensing questions should teams ask before choosing an n8n alternative? - -Teams should ask whether each n8n alternative is OSI-approved open source, source-available, or proprietary and whether its license permits the team's exact deployment and commercial model. - -1. Can the organization use the software in production without a commercial agreement? -2. Can the organization modify the source code? -3. Can the organization redistribute modified or unmodified versions? -4. Can the organization provide a hosted version to customers? -5. Are enterprise features stored under a different license from the core? -6. Do self-hosting rights change when the software is customer-facing? -7. Which legal entity and license version govern the code being deployed? - -License labels should not replace reading the actual license text. “Open,” “source-available,” “fair-code,” and “self-hostable” describe different legal arrangements. - -## What features matter when an n8n alternative handles AI agents? - -Sim and other AI-agent-oriented alternatives should be evaluated on model orchestration, state, tool use, approvals, evaluations, observability, and deployment rather than on connector count alone. - -A useful comparison examines multiple model providers and BYOK, tool calling, branching, human input, retrieval, traces, evaluations, reusable workflows, deployment choices, permissions, auditability, and credential controls. Sim's [Human in the Loop block](https://docs.sim.ai/workflows/blocks/human-in-the-loop) pauses a run and resumes it with submitted form fields; an approve-or-reject choice is a field, so a downstream Condition must inspect it. Sim's [Guardrails block](https://docs.sim.ai/workflows/blocks/guardrails) reports passed or failed, and a downstream Condition must route that result if the workflow should stop or take a different path. - -## How do you choose between Sim, n8n, Zapier, and Make? - -Sim is the strongest choice for AI-agent workflows, [n8n is a strong choice for extensible general automation](https://docs.n8n.io/), [Zapier is a strong choice for straightforward managed SaaS automation](https://zapier.com/pricing), and [Make is a strong choice for detailed visual process mapping](https://www.make.com/en/pricing). - -Choose Sim when AI agents, model flexibility, approvals, and deployment choice are central requirements. Choose n8n when general workflow automation and self-managed extensibility matter more than an AI-native workspace. Choose Zapier when the team wants a familiar managed service for connecting business applications. Choose Make when the team values granular visual control over deterministic scenarios. - -These categories overlap, so a proof of concept should use the same real workflow, data, approval step, failure case, and expected output in every shortlisted product. - -## When should a team stay with n8n? - -[n8n is the right incumbent to keep](https://docs.n8n.io/) when current workflows are reliable, its [license](https://docs.n8n.io/privacy-and-security/sustainable-use-license) fits the intended use, and migration would not create enough operational or AI-agent benefit to justify the cost. - -Existing expertise, tested integrations, established monitoring, and a large workflow estate all create legitimate switching costs. Migration becomes more compelling when the team needs a different license, wants managed hosting without its current maintenance burden, or increasingly builds agentic rather than deterministic workflows. - -## When should a team move from n8n to Sim? - -Sim is the stronger destination when AI-agent development, model flexibility, human input, and the licensing of the core matter more than preserving an existing n8n workflow estate. +**Strengths:** -A safe migration starts with one representative workflow. Inventory triggers, credentials, API calls, data transformations, retries, approval steps, and failure paths; rebuild the workflow in Sim; test it with production-like inputs; compare outputs and operating cost; and deploy it gradually before retiring the original. +- **273 integrations and multi-model support:** Connect OpenAI, Anthropic, Google, Groq, Mistral, xAI, and local models through Ollama or vLLM, plus MCP servers for external tools. +- **Three ways to build:** Build in the visual workflow builder, describe what you want to Sim in Chat, or work with code. +- **Managed or self-hosted:** Use Sim Cloud, or [self-host](https://docs.sim.ai/platform/self-hosting) with Docker Compose or Kubernetes. Self-hosted deployments can use Ollama, vLLM, LM Studio, or LiteLLM without Sim Enterprise. +- **Approvals and checks:** The [Human in the Loop block](https://docs.sim.ai/workflows/blocks/human-in-the-loop) pauses a run for submitted form input, and the [Guardrails block](https://docs.sim.ai/workflows/blocks/guardrails) reports passed or failed for a downstream Condition to route. -## The 10 Best n8n Alternatives in 2026 +**Limitations:** Sim is newer than n8n, Make, and Zapier, so some niche third-party connectors and ready-made templates they offer do not exist yet. The Free plan's 1,000 credits are a one-time grant, not a monthly allowance. Enterprise features in `apps/sim/ee` sit under the [Sim Enterprise License](https://github.com/simstudioai/sim/blob/main/apps/sim/ee/LICENSE), so production use of them requires an Enterprise subscription even when self-hosted. -The ranked top ten are Sim, Dify, Activepieces, LangGraph, Make, CrewAI, Zapier, Microsoft Power Automate, Pipedream, and Botpress. Gumloop, Lindy, and Workato remain in the comparison as additional candidates because each serves a distinct buyer need. The original shortlist of Sim, Make, Zapier, Activepieces, Pipedream, Gumloop, Lindy, Botpress, Microsoft Power Automate, and Workato is therefore preserved, with n8n retained as the incumbent baseline rather than counted as its own alternative. +**Sources:** [Sim pricing](https://www.sim.ai/pricing), [Sim license](https://github.com/simstudioai/sim/blob/main/LICENSE), [self-hosting docs](https://docs.sim.ai/platform/self-hosting), [Sim vs n8n](https://www.sim.ai/comparisons/n8n). -### Sim +### 2. Dify -Sim is the best overall alternative for teams building, deploying, and managing AI agents with a visual builder and flexible hosting. +Dify is a strong n8n alternative when the main job is building LLM applications with prompts, retrieval, datasets, and agent behavior. Compared with Sim, Dify centers on LLM apps and knowledge retrieval, while Sim covers broader agent workflows across 273 integrations. -**Best for:** - People building AI agent workflows that require multi-model orchestration, persistent memory, and visual collaboration. +**Best for:** Teams centered on LLM applications and retrieval that want managed or self-hosted deployment. -[Sim](https://www.sim.ai) - is the open-source AI workspace with [270+ integrations](https://www.sim.ai/pricing), as of October 2026. Sim supports workflows built around agents, knowledge bases, tables, and multi-model routing. You can use Sim Cloud or deploy Sim with Docker Compose or Kubernetes. Both options support the same goal of building agent workflows without requiring you to manage infrastructure unless you choose to. +**Pricing:** Dify Cloud has a free Sandbox plan with 200 message credits. [Professional is $59 per workspace per month and Team is $159 per workspace per month](https://dify.ai/pricing/dify-cloud), with discounts for annual billing ($590 and $1,590 per workspace per year). **Strengths:** -- **270+ integrations with multi-model LLM support, as of October 2026:** - [Connect supported model providers and integrations](https://www.sim.ai/pricing), including OpenAI, Claude, Gemini, Groq, Mistral, xAI, and local models via Ollama or vLLM. Model Context Protocol (MCP) support lets you connect compatible external tools in addition to Sim's prebuilt integrations. -- **Real-time collaboration and Chat:** - Multiple people can edit workflows simultaneously and use comments and permissions to coordinate access. Chat accepts natural-language instructions for planning and building workflows. -- **Managed and self-hosted deployment options:** - Choose cloud-managed infrastructure with auto-scaling and built-in observability, or self-host via Docker Compose and Kubernetes. Self-hosting gives you control over the deployment and data environment, while Sim Cloud removes routine infrastructure management. -- **Published security information:** - Sim publishes its source code for review. Consult Sim's current security documentation for information about audits, controls, and compliance status. +- **LLM application focus:** Workflows, retrieval, model management, and agent behavior live in one application platform. +- **Deployment choice:** Dify documents managed plans and self-hosted deployment. +- **Knowledge workflows:** Dataset and retrieval features suit applications grounded in managed knowledge. -**Pricing:** - As of October 2026, [Sim offers a $0 Free plan and paid Pro, Max, and Enterprise plans with credit-based billing](https://www.sim.ai/pricing). +**Limitations:** Dify is less direct for broad conventional SaaS automation. Its repository uses a [modified Apache 2.0 license](https://github.com/langgenius/dify/blob/main/LICENSE) that requires a commercial license to run a multi-tenant service and forbids removing the logo from its frontend. -**Limitations:** - Sim is a newer platform, so some niche third-party integrations available in more mature tools like Zapier or Make may not yet exist. The templates library is growing but not yet as extensive as more established competitors. +**Sources:** [Dify Cloud pricing](https://dify.ai/pricing/dify-cloud), [Dify license](https://github.com/langgenius/dify/blob/main/LICENSE). -### Dify +### 3. Activepieces -[Dify](https://dify.ai/pricing) is a strong n8n alternative when the main job is creating LLM applications with prompts, retrieval, datasets, and agent behavior. +Activepieces is a strong pick for teams that want visual trigger-and-action automation with an MIT-licensed self-hosted option. Compared with Sim, Activepieces maps more closely to n8n's trigger-action model, while Sim is the better fit when the workflow is an AI agent. -**Best for:** - Teams centered on LLM applications and retrieval that want managed or self hosted deployment. +**Best for:** Teams that want a self-hostable n8n alternative under a permissive license, plus cloud plans with published allowances. -Dify places LLM application development closer to the center of the product than a traditional automation tool. Its repository uses a [modified Apache 2.0 license with additional conditions](https://github.com/langgenius/dify/blob/main/LICENSE), so buyers should review those conditions for their deployment and commercial model. +**Pricing:** [Activepieces Cloud](https://www.activepieces.com/pricing) has a Free plan with 1,000 credits a month for up to five users, Plus at $20 flat per month (10,000 credits a month), Team at $200 flat per month with 25 users, and a sales-led Ultimate plan. Usage over the allowance costs $0.007 per credit on Plus and Team. The self-hosted Community Edition has no license fee. **Strengths:** -- **LLM application focus:** Workflows, retrieval, model management, and agent behavior are presented as parts of one application platform. -- **Deployment choice:** Dify documents managed plans and self hosted deployment. -- **Knowledge workflows:** Dataset and retrieval features suit applications grounded in managed knowledge. +- **MIT-licensed core:** [Activepieces' core is released under the MIT license](https://www.activepieces.com/docs/about/license), which permits commercial use, modification, and redistribution with the notices kept. +- **MCP and API access:** Every plan, including Free, lists MCPs and API access alongside flows, agents, and tables. +- **Approachable builder:** A visual flow builder with code steps for custom logic. -**Limitations:** - Dify is less direct when the main requirement is broad conventional SaaS automation. Its license also adds product specific conditions beyond standard Apache 2.0. +**Limitations:** Its connector catalog is smaller than n8n's, Make's, or Zapier's. SSO and standard roles start on the paid Team plan, and enterprise features sit under a commercial license, so a free self-hosted deployment lacks them. -**Pricing:** - As of October 2026, [Dify publishes managed plan limits and prices](https://dify.ai/pricing), while self hosting shifts infrastructure and operations to the deploying team. +**Sources:** [Activepieces pricing](https://www.activepieces.com/pricing), [Activepieces license](https://www.activepieces.com/docs/about/license). -### LangGraph +### 4. LangGraph -[LangGraph](https://github.com/langchain-ai/langgraph) is a strong n8n alternative for software teams that want to define stateful agent execution in code. +LangGraph is a strong n8n alternative for software teams that want to define stateful agent execution in code. Compared with Sim, LangGraph gives engineers finer control but no visual workspace for mixed teams. -**Best for:** - Developers who want explicit control over agent state, nodes, transitions, and persistence. +**Best for:** Developers who want explicit control over agent state, nodes, transitions, and persistence. -LangGraph is an [MIT licensed framework](https://github.com/langchain-ai/langgraph/blob/main/LICENSE). It gives engineering teams detailed control over agent execution, but it is not a direct substitute for a visual workflow builder. +**Pricing:** The framework is free under the [MIT license](https://github.com/langchain-ai/langgraph/blob/main/LICENSE). LangSmith, the separate hosted service, lists a [Developer plan at $0 per seat and Plus at $39 per seat per month](https://www.langchain.com/pricing), both with pay-as-you-go usage, plus Enterprise. **Strengths:** - **Explicit state control:** Developers define state transitions and execution behavior in application code. -- **Developer managed deployment:** The framework can run in environments controlled by the development team. -- **Commercial operations option:** LangSmith provides separate hosted deployment, observability, and governance services. +- **Developer-managed deployment:** The framework runs anywhere the team controls. +- **Commercial operations option:** LangSmith adds hosted deployment, tracing, and evaluation. -**Limitations:** - LangGraph requires software development expertise and offers a different collaboration model from a visual workspace. Mixed technical teams may need additional interfaces and operational tooling. +**Limitations:** LangGraph requires software engineering skills and does not offer a shared visual builder, so mixed technical teams need extra interfaces and operational tooling. -**Pricing:** - As of October 2026, the framework can be operated on developer managed infrastructure, while [LangSmith lists free, paid, and enterprise service options](https://www.langchain.com/pricing). +**Sources:** [LangGraph license](https://github.com/langchain-ai/langgraph/blob/main/LICENSE), [LangSmith pricing](https://www.langchain.com/pricing), [Sim vs LangChain](https://www.sim.ai/comparisons/langchain). -### CrewAI +### 5. Make -[CrewAI](https://crewai.com/pricing) is a strong n8n alternative for Python developers designing systems around agents, tasks, crews, and flows. +Make is a strong choice for teams that want managed visual automation with detailed control over deterministic scenarios. Compared with Sim, Make has a far larger app catalog, while Sim offers deeper agent orchestration and a self-hosting option. -**Best for:** - Developer led projects that represent multi agent behavior in code. +**Best for:** Teams that want managed visual automation with detailed inspection of routes, filters, and intermediate values. -CrewAI provides an [MIT licensed framework](https://github.com/crewAIInc/crewAI/blob/main/LICENSE) plus commercial platform services. It should be evaluated as a developer framework and operations platform rather than as a direct visual automation replacement. +**Pricing:** [Make's pricing page](https://www.make.com/en/pricing) lists a Free plan with 1,000 credits a month and paid plans from $9 per month (Core) at 10,000 credits, followed by Pro and Teams. Each module action counts as one credit, and [some AI features use credits based on tokens](https://help.make.com/credits). **Strengths:** -- **Multi agent concepts:** Roles, tasks, crews, and flows provide code level structures for coordinating agents. -- **Framework flexibility:** Teams can integrate agent behavior into a larger Python application. -- **Commercial platform option:** CrewAI offers managed execution and enterprise governance separately from the framework. +- **Visual execution inspection:** Routers, filters, error handlers, and intermediate values are visible in the scenario builder, which helps when debugging branching flows. +- **Data transformation:** Built-in functions for parsing, mapping, and reformatting data between apps. +- **3,500+ apps:** Make lists 3,500+ apps plus HTTP and webhook modules for custom connections. -**Limitations:** - CrewAI is a weaker fit for mixed teams that expect to construct and inspect workflows primarily through a visual builder. +**Limitations:** Make offers AI agents and AI modules, but complex agent workflows may need extra modules or services for memory and multi-agent coordination. It runs as a managed cloud service, so there is no self-hosted option for data-control requirements. -**Pricing:** - As of October 2026, [CrewAI lists a free Basic platform plan and custom Enterprise terms](https://crewai.com/pricing); teams operating the framework also pay for their own infrastructure and model usage. +**Sources:** [Make pricing](https://www.make.com/en/pricing), [Make credits](https://help.make.com/credits), [Sim vs Make](https://www.sim.ai/comparisons/make). -### Make (formerly Integromat) +### 6. CrewAI -[Make is strongest](https://www.make.com/en/pricing) for teams that want managed visual automation with detailed control over deterministic scenarios. +CrewAI is a strong n8n alternative for Python developers designing systems around agents, tasks, crews, and flows. Compared with Sim, CrewAI expresses multi-agent behavior in code, while Sim lets mixed teams build it visually. -**Best for:** +**Best for:** Developer-led projects that represent multi-agent behavior in code. -People who want managed visual automation with detailed inspection of routes, filters, and intermediate values. - -Make displays routes, filters, and intermediate values in its visual scenario builder and execution inspector. This presentation may be easier to follow than n8n's node-level execution data when you are debugging a branching workflow. +**Pricing:** The framework is [MIT-licensed](https://github.com/crewAIInc/crewAI/blob/main/LICENSE). The hosted platform has a [free Basic plan with 50 workflow executions a month and a custom-priced Enterprise plan](https://crewai.com/pricing). Teams running the framework themselves pay for their own infrastructure and model usage. **Strengths:** -- **Visual execution inspection:** - Make displays routers, filters, error handlers, and intermediate values in its scenario builder. The canvas can help you trace branching workflows and inspect data transformations. -- **Strong data transformation and error handling:** - Built-in functions for parsing, mapping, and reformatting data between apps mean fewer workarounds and manual steps compared to simpler tools. -- **3,500+ app integrations, as of October 2026:** - [Make lists 3,500+ apps](https://www.make.com/en/pricing), compared with [Zapier's 9,000+ apps](https://zapier.com/), and includes HTTP/webhook modules for custom connections. +- **Multi-agent concepts:** Roles, tasks, crews, and flows give code-level structure for coordinating agents. +- **Framework flexibility:** Agent behavior can live inside a larger Python application. +- **Commercial platform option:** Managed execution and enterprise governance are available separately. -**Limitations:** - Make provides AI modules and agent features, but availability and behavior vary by product and plan. Complex agent workflows in Make may require additional modules or services for persistent memory and multi-agent coordination. If you need those capabilities, compare Make's current agent features with Sim's native agent workflow support. +**Limitations:** CrewAI is a weaker fit for mixed teams that expect to build and inspect workflows mainly in a visual builder. -**Pricing:** -As of October 2026, [Make](https://www.make.com/en/pricing) - offers a free plan with 1,000 credits per month. Paid plans scale by credit allowance and features. Make counts each module action, such as adding a spreadsheet row or fetching an email, as one credit, with separate rules for some AI features. Test the same workflow in Make and Zapier to compare credit consumption with Zapier task usage. +**Sources:** [CrewAI pricing](https://crewai.com/pricing), [CrewAI license](https://github.com/crewAIInc/crewAI/blob/main/LICENSE), [Sim vs CrewAI](https://www.sim.ai/comparisons/crewai). -### Zapier +### 7. Zapier -[Zapier is strongest](https://zapier.com/pricing) for non-technical teams that prioritize fast setup and a broad managed SaaS integration catalog. +Zapier is a strong pick for non-technical teams that prioritize fast setup and the largest managed integration catalog. Compared with Sim, Zapier connects more apps, while Sim gives more control over multi-step agent behavior and can be self-hosted. -**Best for:** - Non-technical teams who need the widest integration catalog and the fastest time to first working automation. +**Best for:** Non-technical teams that need the widest catalog and the fastest path to a first working automation. -Zapier uses a linear builder for trigger-action automation across a large connector catalog. Non-technical users can create straightforward workflows without setting up or maintaining a server. +**Pricing:** [Zapier](https://zapier.com/pricing) has a Free plan with 100 tasks per month, Professional starting from $19.99 per month, Team starting from $69 per month, and custom Enterprise pricing. Higher task tiers cost more. **Strengths:** -- **Large integration catalog:** - Zapier's catalog can be useful when you need connectors for niche or legacy applications. -- **Linear workflow setup:** - The trigger-action builder reduces the number of decisions required for straightforward automations. -- **Zapier Agents and Copilot:** - Zapier has invested in AI features through 2024-2026, including AI-powered workflow suggestions and experimental agent capabilities. Compare Zapier Agents with purpose-built agent platforms when you need persistent memory, multi-agent coordination, or detailed model routing. - -**Limitations:** - Zapier's task-based pricing can increase as execution volume grows. Its linear abstraction may also require additional steps for complex branching, loops, and data transformation. Complex branching, loops, and data transformations may require more steps in Zapier than in n8n or Make. Developers migrating code-heavy workflows should test those patterns before choosing Zapier. +- **Largest catalog:** Zapier lists [9,000+ apps](https://zapier.com/), useful for niche or legacy applications. +- **Linear setup:** The trigger-action builder keeps simple automations simple. +- **AI features:** Zapier Agents, Zapier MCP, and AI fields add model steps to existing Zaps. -**Pricing:** - As of October 2026, [Zapier offers a free plan with 100 tasks per month and a Professional plan starting at $19.99 per month](https://zapier.com/pricing), while higher plans scale with task volume and collaboration features. +**Limitations:** Task-based pricing grows with volume, and complex branching, loops, and data transformation can take more steps than in n8n or Make. It is cloud-only. -### Activepieces +**Sources:** [Zapier pricing](https://zapier.com/pricing), [Zapier home](https://zapier.com/), [Sim vs Zapier](https://www.sim.ai/comparisons/zapier). -[Activepieces is strongest](https://www.activepieces.com/pricing) for teams seeking visual automation with managed and MIT-licensed self-hosted options. +### 8. Microsoft Power Automate -**Best for:** +Microsoft Power Automate is the natural pick for organizations standardized on Microsoft 365, Dynamics, Azure, and desktop automation. Compared with Sim, it reaches deeper into Microsoft systems and legacy desktops, while Sim is model-agnostic and not tied to one vendor's stack. -People who want a self-hostable alternative with an MIT-licensed Community Edition and cloud plans with published usage allowances. +**Best for:** Organizations standardized on Microsoft 365, Dynamics, and the broader Microsoft ecosystem. -Activepieces is an n8n alternative for readers who prioritize permissive licensing. Activepieces' Community Edition is released as open source under the MIT license, with enterprise features under a Commercial License. That MIT license means no commercial restrictions on self-hosted deployments, offering more flexibility than n8n's Sustainable Use License. +**Pricing:** [Microsoft lists](https://www.microsoft.com/en-us/power-platform/products/power-automate/pricing) a 30-day free trial, Power Automate Premium at $15.00 per user per month, Power Automate Process at $150.00 per bot per month, and Hosted Process at $215.00 per bot per month, all paid yearly. **Strengths:** -- **MIT-licensed Community Edition:** - Activepieces releases its Community Edition under the MIT license, which permits commercial use, modification, and redistribution when you retain the required notices. Activepieces applies separate commercial terms to its enterprise features. -- **Growing integration and MCP ecosystem:** - Activepieces documents support for exposing pieces through MCP for use with tools such as Claude Desktop, Cursor, and Windsurf. The [Activepieces documentation](https://www.activepieces.com/docs) provides current details about supported pieces and MCP features. -- **Clean, accessible UI:** - Activepieces provides a visual interface for building flows and code steps for custom logic. -- **Cloud pricing:** -As of October 2026, [Activepieces cloud pricing](https://www.activepieces.com/pricing) includes a free plan with 1,000 monthly credits and up to five users, a $20-per-month Plus plan, and a $200-per-month Team plan. +- **Microsoft integration:** First-party connectors for SharePoint, Teams, Outlook, Azure, Dynamics 365, and Dataverse. +- **Desktop automation:** Desktop flows automate legacy applications that have no API. +- **Governance:** Data loss prevention policies, environment management, and audit logging are built in. -**Limitations:** - The connector ecosystem is smaller than n8n, Make, or Zapier. Enterprise features like SSO, audit logs, and custom RBAC are available under the commercial license, so fully free self-hosted deployments miss those governance capabilities. +**Limitations:** It is a poor fit outside the Microsoft ecosystem, licensing mixes per-user, per-bot, and add-on charges, and simple automations can take more configuration than in narrower trigger-action tools. -**Pricing:** - Activepieces does not charge a software license fee for the self-hosted Community Edition. You still pay for infrastructure and maintenance, and hosting costs vary by workload and provider. Check the pricing page for the current cloud billing model. +**Sources:** [Power Automate pricing](https://www.microsoft.com/en-us/power-platform/products/power-automate/pricing), [Sim vs Power Automate](https://www.sim.ai/comparisons/power-automate). -### Pipedream +### 9. Pipedream -[Pipedream is strongest](https://pipedream.com/pricing) for developers who want code-capable API workflows on managed infrastructure. +Pipedream is a strong fit for developers who want code-capable API workflows on managed infrastructure. Compared with Sim, Pipedream is code-first and centered on integrations, while Sim is centered on building and running agents. -**Best for:** - Developers who want code-level control over automation without managing server infrastructure. +**Best for:** Developers who want code-level control over automation without managing servers. -[Pipedream emphasizes code steps](https://pipedream.com/docs/workflows/building-workflows/code) within a managed workflow service. You can write JavaScript, Python, TypeScript, Go, or Bash inside workflow steps, while Pipedream manages the runtime infrastructure. +**Pricing:** [Pipedream](https://pipedream.com/pricing) is free to build and test. Startup is $99 per month billed annually or $150 per month billed monthly, with 10,000 usage credits and 100 users included; Business is custom. **Strengths:** -- **Full language support in workflow steps:** - Write and test code within workflow steps using Pipedream's supported languages and development tools. -- **Serverless runtime eliminates infrastructure overhead:** - Pipedream manages the workflow runtime, scaling, and server maintenance. You remain responsible for workflow behavior and the availability of connected services. -- **Strong observability:** - Built-in logging, error tracking, and execution history give you the debugging depth developers need from production infrastructure. +- **[Code steps](https://pipedream.com/docs/workflows/building-workflows/code):** Write and test code inside workflow steps. +- **Managed runtime:** Pipedream runs the infrastructure, scaling, and server maintenance. +- **Observability:** Logs, error tracking, and execution history for debugging. +- **Connectors:** 3,000+ connectors and 10,000+ prebuilt tools and triggers. -**Limitations:** - The code-first approach means non-technical teammates can't build or modify workflows independently. Pipedream uses a step-based visual workflow interface rather than a free-form canvas, and it does not center the product on native AI agent orchestration. +**Limitations:** Non-technical teammates cannot easily build or change workflows alone, and production use requires a paid plan because the Free tier covers development only. -**Pricing:** - As of October 2026, [Pipedream's pricing page](https://pipedream.com/pricing) lists a free development tier and a Startup plan at $99 per month when billed annually, including 10,000 usage credits. +**Sources:** [Pipedream pricing](https://pipedream.com/pricing), [Sim vs Pipedream](https://www.sim.ai/comparisons/pipedream). -### Gumloop +### 10. Botpress -[Gumloop is strongest](https://www.gumloop.com/pricing) for non-developers assembling hosted, AI-powered business processes visually. +Botpress is a strong pick for teams building conversational agents for support and sales across chat and voice. Compared with Sim, Botpress specializes in conversations, while Sim handles back-office and data workflows as well as chat agents. -**Best for:** - Non-developer teams building LLM-powered workflows with a visual canvas similar to n8n. +**Best for:** Customer support bots, conversational sales agents, and multi-turn dialogue. -Gumloop centers its visual canvas on AI models, prompts, and data sources rather than conventional trigger-action automation. If your team wants to build LLM-powered workflows without writing code and you want the canvas-based experience n8n provides, Gumloop is worth considering. +**Pricing:** [Botpress](https://botpress.com/pricing) has a Free plan with 100 conversations, Plus at $150 per month billed annually with 250 conversations a month, Team at $750 per month billed annually with 1,500 conversations a month, and custom Enterprise. AI usage is included on every plan. **Strengths:** -- **AI-native visual canvas:** - The entire builder experience is oriented around connecting AI models, prompts, and data sources, not around traditional trigger-action SaaS automation. -- **Built-in LLM access and AI assistant:** - Gummie, the platform's AI assistant, helps debug workflows and suggest improvements during construction. LLM access is built into the platform rather than requiring you to bring external API connections. -- **Fast iteration cycle:** - The canvas supports rapid prototyping with different model configurations and prompt chains. +- **Conversational architecture:** Memory, retrieval, and multi-turn context are core features. +- **Agent-centric debugging:** Debugging is organized around conversation flow and knowledge retrieval. +- **Knowledge base integration:** Connect documentation and FAQs directly to customer-facing agents. -**Limitations:** - Gumloop is a smaller platform with less mature enterprise governance features. Integration depth falls well below Make or Zapier for traditional SaaS connectors. If your workflows mix AI processing with heavy SaaS-to-SaaS automation, you may need to pair Gumloop with another tool. +**Limitations:** Botpress is a poor fit for data pipelines, backend API automation, or internal operations workflows. -**Pricing:** - As of October 2026, [Gumloop publishes its hosted plan and usage terms on its official pricing page](https://www.gumloop.com/pricing). +**Sources:** [Botpress pricing](https://botpress.com/pricing). -### Lindy +### 11. Workato -[Lindy is strongest](https://www.lindy.ai/pricing) for teams that want template-led agents for defined email, meeting, and sales tasks. +Workato fits large organizations that need governed enterprise integration and contractual support. Compared with Sim, Workato brings enterprise connector depth and procurement-ready contracts, while Sim offers an open-source core and self-hosting. -**Best for:** - Less technical teams and individuals who want AI agents for specific use cases like email management, meeting scheduling, and sales outreach, with minimal setup overhead. +**Best for:** Enterprise teams that need SLAs, compliance documentation, and governance controls. -Lindy provides preconfigured agents for tasks such as email management, meeting scheduling, and sales outreach. You describe the task in natural language and customize the generated workflow rather than starting with a blank canvas. +**Pricing:** Workato uses [usage-based billing in Workato credits](https://docs.workato.com/en/pricing). [Self-service plans](https://docs.workato.com/en/pricing/self-service/self-service) include Workato Free with a one-time 50,000-credit grant and Workato Pro from $75 per month for 2,500 credits up to $1,275 per month for 50,000 credits. Enterprise editions are quoted by sales. **Strengths:** -- **Natural language workflow creation:** - Describe your automation goal conversationally and Lindy generates the workflow. Templates and generated workflows can reduce the setup required for a first agent. -- **Strong for back-office task automation:** - Email triage, meeting follow-ups, CRM updates, and sales outreach workflows come pre-built with templates you can customize. -- **Low barrier to entry:** - Lindy does not require users to begin with a blank node-based canvas, which may make template-led tasks easier to configure. +- **Enterprise controls:** Compliance and audit information for procurement and security reviews. +- **Dedicated support:** Account management, priority support, and SLAs on enterprise contracts. +- **Multi-system orchestration:** Integration patterns across ERP, CRM, HRIS, and financial systems. -**Limitations:** - Credit-based pricing can become expensive at high automation volume, so estimate usage with a representative task before choosing a plan. Lindy is better for task-specific agents than complex multi-agent orchestration, and it's limited to its defined use case categories. If your workflow doesn't fit Lindy's templates, you may need a more configurable platform. +**Limitations:** Enterprise editions are priced for enterprise budgets, unused Pro credits do not roll over, and recipes are proprietary, so leaving means rebuilding them elsewhere. -**Pricing:** -As of October 2026, Lindy presents two pricing structures on its official pages. Its [public team pricing page](https://www.lindy.ai/pricing) lists Free, Team from $49.99 per active user per month with 5,000 pooled monthly credits, and custom Enterprise plans. Its separate [teammate billing documentation](https://docs.lindy.ai/teammate/lindy-teammate-billing) lists seat-based Plus, Pro, and Max plans and says introductory free credits expire after seven days. +**Sources:** [Workato billing docs](https://docs.workato.com/en/pricing), [Workato self-service plans](https://docs.workato.com/en/pricing/self-service/self-service), [Sim vs Workato](https://www.sim.ai/comparisons/workato). -### Botpress +### 12. Gumloop -[Botpress is strongest](https://botpress.com/pricing) for teams building conversational agents for customer support, sales, chat, and voice. +Gumloop fits non-developers assembling hosted, AI-powered business processes visually. Compared with Sim, Gumloop is hosted only and narrower on traditional connectors, while Sim adds self-hosting and Apache 2.0 licensing. -**Best for:** - Teams building AI agents specifically for chat and voice channels, including customer support bots, conversational sales agents, and multi-turn dialogue workflows. +**Best for:** Non-developer teams building LLM-powered workflows in a visual builder. -Botpress is designed specifically for conversational AI across chat and voice use cases. While most n8n alternatives treat chatbots as one use case among many, Botpress makes conversational agents its entire focus. The platform includes memory, goal tracking, multi-turn context handling, and retrieval-augmented generation (RAG), which can ground responses in connected documents. +**Pricing:** [Gumloop](https://www.gumloop.com/pricing) Pro starts at $37 per month after a 14-day free trial and includes 20,000 credits (7,400 plus 12,600 bonus). Credits are indexed at $0.005 each, and Enterprise is custom. **Strengths:** -- **Native conversational agent architecture:** - Memory, retrieval-augmented generation, goal tracking, and multi-turn context are core platform features, not add-ons you assemble from generic components. -- **Agent-centric debugging:** - Botpress organizes debugging around intents, conversation flow, knowledge retrieval, and other agent behavior rather than general workflow execution. -- **Strong knowledge base integration:** - Connect documentation, FAQs, and product databases directly to your agents for customer-facing use cases where accuracy is important. +- **AI-first builder:** The builder is oriented around models, prompts, and data sources. +- **Built-in LLM access:** Model usage is included through credits, so you do not need your own API keys to start. +- **Fast iteration:** Quick to prototype different models and prompt chains. -**Limitations:** - Botpress is optimized for conversational agent use cases. If you need data pipeline orchestration, backend API automation, or internal operational workflows, this isn't the right tool. +**Limitations:** Enterprise governance is less mature, and SaaS connector depth is below Make or Zapier, so heavy app-to-app automation may need a second tool. -**Pricing:** - As of October 2026, [Botpress offers a free entry plan and paid plans metered in included conversations](https://botpress.com/pricing). +**Sources:** [Gumloop pricing](https://www.gumloop.com/pricing), [Sim vs Gumloop](https://www.sim.ai/comparisons/gumloop). -### Microsoft Power Automate +### 13. Lindy -[Microsoft Power Automate is strongest](https://www.microsoft.com/en-us/power-platform/products/power-automate/pricing) for organizations standardized on Microsoft 365, Dynamics, Azure, and desktop automation. +Lindy fits teams that want ready-made agents for defined email, meeting, and sales tasks. Compared with Sim, Lindy is quicker to start for those tasks, while Sim is more configurable for workflows that do not fit a template. -**Best for:** - Organizations standardized on Microsoft 365, Dynamics, and the broader Microsoft ecosystem. +**Best for:** Less technical teams that want agents for email triage, meeting scheduling, and sales outreach with minimal setup. -Microsoft Power Automate offers first-party connections to SharePoint, Teams, Outlook, Azure, and Dynamics. It also provides robotic process automation through desktop flows, which distinguishes it from the other products covered here. +**Pricing:** [Lindy](https://www.lindy.ai/pricing) starts new users with $50 in free credits that last 7 days, then the Team plan starts at $49.99 per user per month with 5,000 credits a month, with larger credit packs available. **Strengths:** -- **Deep Microsoft ecosystem integration:** - Native connectors for SharePoint, Teams, Outlook, Azure services, Dynamics 365, and Dataverse go beyond basic API connections. Microsoft maintains these first-party integrations. -- **RPA for desktop automation:** - Desktop flows can automate legacy applications that don't have APIs, which supports workflows involving software without APIs. -- **Enterprise compliance and governance:** - Data loss prevention policies, environment management, and audit logging come built in for organizations with strict governance requirements. +- **Natural-language setup:** Describe the task and customize the generated agent. +- **Back-office templates:** Email triage, meeting follow-ups, CRM updates, and outreach come pre-built. +- **Low barrier to entry:** No need to start from a blank workflow. -**Limitations:** - It's a poor fit for teams outside the Microsoft ecosystem. AI Builder features add cost on top of base licensing. Simple automations may require more configuration than they do in narrower trigger-action tools. Licensing can also involve per-user, per-flow, and add-on charges. +**Limitations:** Credit-based pricing adds up at high volume, and Lindy is better for task-specific agents than complex multi-agent orchestration. -**Pricing:** - As of October 2026, [Microsoft offers a free trial and standalone Power Automate plans](https://www.microsoft.com/en-us/power-platform/products/power-automate/pricing), including Power Automate Process at $150 per bot per month and Hosted Process at $215 per bot per month when paid yearly. +**Sources:** [Lindy pricing](https://www.lindy.ai/pricing), [Lindy billing docs](https://docs.lindy.ai/teammate/lindy-teammate-billing). -### Workato +## How do these n8n alternatives compare? -[Workato is strongest](https://docs.workato.com/en/pricing) for large organizations that need governed enterprise integration and contractual support. +The scores use a 100-point rubric built for AI agent workflows, not general popularity: AI agent depth (30), deployment control (25), extensibility and integrations (20), governance and collaboration (15), and ease of use (10). Each criterion is rated one to five and scaled to its weight; ease of use breaks ties. The scores answer one question, which alternative suits AI agent workflows, and are not a verdict on overall product quality. -**Best for:** - Enterprise teams that need guaranteed SLAs, dedicated compliance certifications, and governance controls that n8n's self-managed model can't provide. - -Workato is a managed enterprise integration platform for deployments that require procurement review, governance controls, and contractual support. Contract terms determine the audit scope, service commitments, and regulated-workload coverage for a particular deployment. - -**Strengths:** +| # | Tool | Best fit | License and hosting | Entry paid price (Oct 2026) | Score | +| --- | --- | --- | --- | --- | ---: | +| 1 | Sim | Visual AI agent workflows | Apache 2.0 core; cloud or self-hosted | Pro $25/mo | 95 | +| 2 | Dify | LLM apps and retrieval | Modified Apache 2.0; cloud or self-hosted | $59/workspace/mo | 77 | +| 3 | Activepieces | Open-source trigger-action automation | MIT core; cloud or self-hosted | $20/mo | 76 | +| 4 | LangGraph | Stateful agents in code | MIT framework; self-managed or LangSmith | LangSmith Plus $39/seat/mo | 71 | +| 5 | Make | Managed visual SaaS automation | Proprietary; cloud only | Core $9/mo | 70 | +| 6 | CrewAI | Multi-agent systems in code | MIT framework; hosted platform | Enterprise custom | 68 | +| 7 | Zapier | Simple SaaS automation | Proprietary; cloud only | $19.99/mo | 65 | +| 8 | Power Automate | Microsoft-centric organizations | Proprietary; cloud plus desktop | $15/user/mo | 65 | +| 9 | Pipedream | API automation with code | Proprietary; cloud only | $99/mo annual | 65 | +| 10 | Botpress | Chat and voice agents | Proprietary; managed | $150/mo annual | 63 | +| 11 | Workato | Governed enterprise integration | Proprietary; managed | $75/mo | 58 | +| 12 | Gumloop | No-code LLM workflows | Proprietary; cloud only | $37/mo | 55 | +| 13 | Lindy | Template-led business agents | Proprietary; cloud only | $49.99/user/mo | 53 | -- **Enterprise security and compliance controls:** - Workato provides compliance, certification, and audit information for procurement and security reviews, while each contract defines the applicable scope and region. -- **Dedicated support:** - Named account managers, priority support channels, and SLAs for issue resolution. -- **Complex multi-system orchestration:** - Handles enterprise-scale integration patterns across ERP, CRM, HRIS, and financial systems with governance and support options intended for large deployments. +Zapier ranks above Power Automate and Pipedream in their three-way tie on ease of use, and Power Automate ranks above Pipedream on the same tie breaker. -**Limitations:** - Priced for enterprise budgets. Workato is not suited for smaller teams or cost-sensitive deployments. Workato is proprietary, so migration may require rebuilding recipes, connections, and governance controls in another platform. Assess data portability and contract terms before deployment. +## How do n8n and Sim compare on licensing and pricing? -**Pricing:** - As of October 2026, [Workato's pricing documentation](https://docs.workato.com/en/pricing) describes a usage-based model with a platform edition, Workato credits, and optional add-ons. Its self-service Free plan includes a one-time 50,000-credit grant, while Pro offers recurring monthly credit allowances. +n8n is source-available but not open source, while Sim's core is OSI-approved open source under Apache 2.0. n8n states that it "uses the Sustainable Use License and n8n Enterprise License", which it describes as fair-code. Under the [license text](https://github.com/n8n-io/n8n/blob/master/LICENSE.md), you "may use or modify the software only for your own internal business purposes or for non-commercial or personal use", and may distribute it only "free of charge for non-commercial purposes". Files with `.ee.` in their name need an n8n Enterprise License. Agencies, consultancies, and SaaS companies should get legal advice before offering n8n functionality to customers. For the clause-by-clause view, see [Apache 2.0 vs fair-code](https://www.sim.ai/library/apache-2-0-vs-fair-code). -## How Open-Source Licenses Affect n8n Alternatives +[Sim's core is licensed under Apache 2.0](https://github.com/simstudioai/sim/blob/main/LICENSE), which anyone can self-host, modify, and redistribute. Code in `apps/sim/ee` is under the separate [Sim Enterprise License](https://github.com/simstudioai/sim/blob/main/apps/sim/ee/LICENSE): production use requires an active Sim Enterprise subscription, and modification and redistribution are not permitted. Activepieces follows a similar split, with an MIT core and commercially licensed enterprise features. -n8n, Activepieces, and Sim apply different licenses that determine how you may self-host, modify, and redistribute their software. Review the license for the specific edition you plan to deploy because community and enterprise editions may use different terms. For a clause-by-clause look at what each model allows for SaaS hosting, white-labeling, and redistribution, see [Apache 2.0 vs fair-code](https://www.sim.ai/library/apache-2-0-vs-fair-code). +On price, [n8n's pricing page](https://n8n.io/pricing/) says "All plans include unlimited users & workflows and every integration" and bills on monthly executions. On October 20, 2026 it listed, in euros and billed annually: -**n8n is source-available, not OSI-approved open source.** - n8n makes its source code available under the [Sustainable Use License](https://docs.n8n.io/privacy-and-security/sustainable-use-license), which n8n describes as fair-code. The license permits internal use, modification, and some redistribution, but it restricts products whose value derives substantially from n8n's functionality, so it does not meet the [Open Source Definition](https://opensource.org/osd). Agencies, consultancies, and SaaS companies should review the license and seek legal advice before offering n8n functionality to customers. - -**Activepieces uses the MIT license.** - [Activepieces distributes its core under the MIT license and enterprise features under a Commercial License](https://www.activepieces.com/docs/about/license). The MIT license permits commercial use, modification, and redistribution when you preserve the required copyright and license notices. - -**Sim's core uses the Apache License 2.0.** - Sim's core code is released under the OSI-approved [Apache License 2.0](https://github.com/simstudioai/sim/blob/main/LICENSE) and can be self-hosted with Docker Compose or Kubernetes. Features in `apps/sim/ee` use a [separate Enterprise License](https://github.com/simstudioai/sim/blob/main/apps/sim/ee/LICENSE): production use requires an active Sim Enterprise subscription, and modification and redistribution are not permitted. - -**Migration effort varies with workflow complexity.** - Moving a portfolio of workflows from n8n to any alternative requires real engineering effort. Migration effort grows with the number of workflows, custom code steps, credentials, external dependencies, and differences between execution models. Activepieces may preserve more trigger-action concepts, while Sim or Pipedream may require you to redesign state management, agent behavior, or code execution. +| n8n plan | Price | Executions | +| --- | --- | --- | +| Starter | €20/mo | 2,500 per month | +| Pro | €50/mo | 10,000 per month | +| Business | €667/mo | 40,000 per month | +| Enterprise | Contact sales | Custom | +| Community Edition | Free, self-hosted | Your infrastructure | -**Self-hosted isn't automatically cheaper.** - Before assuming that self-hosting eliminates automation costs, build a detailed estimate for total cost of ownership. Include server provisioning, database hosting, TLS certificates, security patches, version upgrades, monitoring, and maintenance time. A managed alternative may cost less when its subscription replaces enough infrastructure and engineering work. +Sim bills in credits instead of executions: Free (1,000 one-time credits), Pro $25 per month, Max $100 per month, and Enterprise, as listed on [Sim's pricing page](https://www.sim.ai/pricing). Because the two meter different units, compare them by running the same workflow at your expected volume. Self-hosting either one is not automatically cheaper: count servers, database hosting, security patches, upgrades, monitoring, and staff time. -## The Bottom Line +| Question | Sim | n8n | +| --- | --- | --- | +| Primary focus | [AI workspace for building, deploying, and managing AI agents](https://docs.sim.ai/introduction) | [Workflow automation across apps, APIs, data, and AI](https://docs.n8n.io/) | +| Core license | Apache 2.0, with `apps/sim/ee` licensed separately | Sustainable Use License, not OSI approved | +| Self-hosting | [Supported](https://docs.sim.ai/platform/self-hosting) | [Supported](https://docs.n8n.io/deploy/host-n8n) | +| Local models | Ollama, vLLM, LM Studio, LiteLLM on any self-hosted deployment | Through supported AI nodes and configuration | +| Cloud billing unit | Credits | Workflow executions | -Sim ranks first for AI-agent workflows, while Make, Zapier, Activepieces, Pipedream, Gumloop, Lindy, Botpress, Microsoft Power Automate, and Workato remain stronger for their specific use cases. +## How should you choose an n8n alternative? -- **Best for self-hosting:** Choose n8n for developer-controlled, traditional automation when your team is comfortable managing infrastructure. Choose Activepieces when an unrestricted MIT license is the priority, or Sim when you need self-hosted AI agent workflows with an Apache 2.0 core and separately licensed enterprise code. -- **Best for AI-native workflows:** As of October 2026, choose Sim, the open-source AI workspace, for a visual builder with [270+ integrations](https://www.sim.ai/pricing), native multi-model orchestration, agent memory, and MCP support. It also offers managed cloud infrastructure for teams that do not want to self-host. Choose Gumloop for a narrower, non-developer-focused LLM workflow canvas. -- **Best for small teams:** Choose Make for managed visual automation, strong debugging, and flexible data transformation. -- **Best for non-technical users:** Choose Zapier for the fastest route to straightforward SaaS automation and the widest integration catalog. Choose Gumloop instead when AI is central to the workflow. +Choose by the dominant workload and hosting model, not by whether a product has an AI label. A workflow that mostly moves data between SaaS apps with one model call has different needs from an agent that repeatedly picks tools, checks results, and asks for approval. -Use the comparison framework to narrow the list to two or three candidates, then build the same representative workflow in each one. Include at least one model call, one tool invocation, one conditional branch, one failure or retry, and one human approval so the test reveals operational differences rather than demo-level similarities. Sim, Make, Zapier, Activepieces, and Pipedream offer free tiers that may support an initial test, with the October 2026 limits linked in their profiles above. +- **Choose Sim if** AI agents, model flexibility, approvals, and a choice between managed and self-hosted deployment are the core requirements. +- **Choose Dify if** retrieval and LLM application development dominate. +- **Choose Activepieces if** you want trigger-action automation under an MIT license you can self-host. +- **Choose LangGraph or CrewAI if** developers want to own agent behavior in code. +- **Choose Make if** you want managed visual automation with detailed scenario debugging. +- **Choose Zapier if** you want the fastest managed setup across the largest app catalog. +- **Choose Power Automate if** the organization runs on Microsoft 365 and Azure. +- **Choose Pipedream if** API automation and code steps dominate. +- **Choose Botpress, Workato, Gumloop, or Lindy if** you need conversational agents, governed enterprise integration, no-code LLM workflows, or template-led business agents respectively. +- **Stay with n8n if** current workflows are reliable, the license fits your use, and migration would not add enough AI agent benefit to justify its cost. -## Related comparisons +Before switching, build the same representative workflow in two or three candidates. Include at least one model call, one tool call, one conditional branch, one failure or retry, and one human approval so the test shows operational differences. Then migrate gradually: inventory triggers, credentials, API calls, transformations, retries, and approval steps; rebuild one workflow; test it with production-like inputs; compare output and operating cost; and retire the original only after the new one runs cleanly. Sim, Make, Zapier, Activepieces, and Dify all have free tiers that can cover a first test. -Sim buyers can use these related comparisons to evaluate licensing, architecture, and adjacent platform categories. +## What should you read next? -- [Sim vs n8n](https://www.sim.ai/comparisons/n8n): feature, pricing, security, and deployment details for the two platforms side by side. -- [Sim vs n8n vs OpenAI AgentKit](https://www.sim.ai/library/openai-vs-n8n-vs-sim): how agent-first, automation-first, and OpenAI-native architectures differ. +- [Sim vs n8n](https://www.sim.ai/comparisons/n8n): features, pricing, security, and deployment side by side. +- [Sim vs n8n vs OpenAI AgentKit](https://www.sim.ai/library/openai-vs-n8n-vs-sim): agent-first, automation-first, and OpenAI-native architectures compared. - [Apache 2.0 vs fair-code](https://www.sim.ai/library/apache-2-0-vs-fair-code): what each license allows for self-hosting and commercial products. -- [Best AI agent platforms and builders in 2026](https://www.sim.ai/library/best-ai-agent-platforms-2026), [Zapier alternatives](https://www.sim.ai/library/best-zapier-alternatives), and [open-source AI agent platforms](https://www.sim.ai/library/open-source-ai-agent-platforms) for broader research. +- [Best self-hosted AI workflow automation platforms](https://www.sim.ai/library/best-self-hosted-ai-workflow-automation-platforms-2026), [best AI agent platforms in 2026](https://www.sim.ai/library/best-ai-agent-platforms-2026), [Zapier alternatives](https://www.sim.ai/library/best-zapier-alternatives), and [open-source AI agent platforms](https://www.sim.ai/library/open-source-ai-agent-platforms) for broader research. diff --git a/apps/sim/public/library/n8n-alternatives/cover.jpg b/apps/sim/public/library/n8n-alternatives/cover.jpg index 604848f97a75f11d4a4cc7ed1fcebd2985d5a495..af40712b9c3232d05a4cb77e45c6d7d7405314a6 100644 GIT binary patch literal 28061 zcmeFXWmp_twkX`VhoHgTCAe#F2@u=~?(PyaK#<0r#@(SIxCYlIxCVkX9)deu^3IvL zGxyB-G0%OzKi_k!ySl3OuD$n?y|mZ!;`0hX5`g%(0|^Nc1@+~FfsTfTj)D6M^W}p} zj)RZ$@+BvxBqn@0Iq0aU=s5V!kl|qe^y2<=``=!8UIw7Uy^MJc_xh!wvF9Jd z{^J`2F*D-4|9F(Nu{5Lv0a8`<9RSb1W?RXqYGQf*WAmLA4@QBL=56BfKy`jX$v#>0T+%)A zP-PV_zo@lRk!ALKC*=ga;(xY`)PQh{Oq*W`GjR?x699%VNvr>aDJhwVQQF5jg|I&RV{_eNM=%;JLOHCAjWwk z3;+C&K;{uLAxH}PkB0oem;WCH{vQSY|3U%p`+vp6$2aI-8~&%Ka2&yD0U|m+JR!SG z)HM8lW|86@?W7S}G=G4`?^aKkyvMdK)V8@QFxt;QQ;1)sbR^gJ005XFv>IE>2r4aI zm9Q3+`D}GBoygLf?bE5G36t6I0f(M?z2Tj$Pfx<8w{!X5jbFO|9PqBPM!8KGX#TIf z_9EV$u+JU;t^HqqvG$RJ#cL~!FPoVBB0?ad`9-76VYW)ukJza}8lnLSTm{M6-`K-! zYh1O9R=*=^rS|3~AAi&KNuyQaERIvLTQHJ-bUwn#ee`VKI$NGQM#OhSk(Q%OawY%T zXmfS}sXB(sdP{B$1EyTegF}dEKDeFr=E|5m*BQirakB8<@prILK_~vbc zk9fw7)~}nY>QOp-rTtqHshJ}ue()uCu!{J-&t6fLw`W$a}HtW#oZ_KRbIpCJ_6WOw;a`4E3Xh(&wH z)ELCJyTW0rG-3Ywl&Ji8v~HO-ZaOJmXK64Nv@fEnBJcUV;K%X@zTf{s98}ZY8VuTO zOz!~$3QZ~t?Gjb}L9MhJbj$b*Ah%hfhb?JxmsWM2^9&aMI2TqUQ{fm|5lPbvYKdZ! zw$ze>bezWLs*6Bi#N92VoyqP*pjEqT5#`l0OmQ8|)Q4Lhj0|I1con?PARz;#uOmL< z%N#)L{oS093Y6q7F$#)CHtAV9(p}7S0(T_oy+MBgXfHm=gl6)?QYN1Oj!YH6sfjhnfP17Hx$w&bN+) ze`A2Q^c=*Ic187*%Xb6RIj3jf$?}^kaEgQe4*P#yZ|-}T_>VTn1y0;-reqbg&&ta6 z{C(EHh&ehO5bU!C;G#$0IGo_*h}O2DXY1kl=kXAGgXN8I1EmOiZf1W;V6yLiJ{KL% z%Gz-Jsr5zX1K%8~xAC|m9EjEkyoI@2U}~?myi1-~_JV`I2T$;caCqV_gl))XXg96&M`+|~MH>FR_=G%?>6Rvit9obs zi*#OIbBNv1wBmjb*@trRDIk6IeCiZ7W8`cfM_c<^-mY>fvYkG?+%E4^9BF%TK|b4m~1*ImEpCpz@EJTZ?>}WOiuBW z1H>oc*7hQwmJX&Bg?7FxLosJmg`>Pkk9_TAILWRXf%^Mm^MS61M{*8dU>k$qTBIPc zs0byG@H4=3I_yz#Em>E%u5tyra_bEF)?2oSV>4FSkg)3zl9bs=ozujxhG%EZG}7nhytr?dP-~eq*l+M zzmjVwc4JRW-3&(kaJV@t-4?$uV~r5N8>Q`Im?+ts6BNPPv80hVVsxIlJ@k1MQ6?_Y zj6dc%?Y)aMv2HH@NZ#Nq5A>A`avPF)w>uz-kr9w1##!xRwAKyUQkQaftg3wU?56ee zeRLQm)tz!S6|!GQWt?cX%rP?k{(}{ra^9TRRVyJNBrKEPe#~3uxOQ?nEX(p2#*wF# zK$D%Z6uLES7^j$*afITfG}1IX%Iz143tkjed)^!bACK)5B~r90_5zob-94D%ypwDg z${(M%j@&wxgpaigx&=pxAHG4j;zltd#iKVTK+A;o*x^d*`ba&Eg}X+0A@3;eV&?91t{%*V#>&^bgqn-3`*D$co04&683f zDqMc+=ubKx=}L&~*IhS027gRRw-IkY?{9LzGd=<81Q1=NAYE~Wq@4X21j>L{tdKS# z>pQot;8f5$A&ufSHINXNOUJ}~Jw^kYeQ|!ln&Y@n=E#ek@u>xR$R>SZK=HfMA)#im z5HYp>pLP*me4EYwRMmN(PUsx9YCkJifoN-CJLYUt-4XH(-L;3!}1~8L5sZ>vpGh+n4vUf;ShQl#^FQD}S@o z|J?ik**)e zO-W57?i@tRLHDlbC8>q{lIns%20Q~+D>2q)Vy& z(Av3B=QU4E&eXj)-R`dMRY|izw9XG}E;dUwuuLyuW>(#Ipv*3J`9Ys@P%=I`$u2>E zF@Y>+R_(qC+gk}|4)oU~meZ{QKDtJ0)#avuCqEAbv^r#@2eB&XfRd6T3B19y(C=q} z=$5x_qg31Mtjb4%uDu*G5FA80H$qisjGzo0R_zLrHL=P2vD~9q&$($DdF_B8-)to&FZRVip4bIlttAc9 z*5A4%bPE*W)|LpX6&h9E*xKSOI|e@+UhKE1ZMW0>1?JQn6)ds7^S)~ z6K*(5zI7))T=H#nq zz<8j@(n*6{*>AR6wuT8iJv{!p7ZG;(p%$~hofsP_PiQ4jTUu2)=ub~J!?bRHoZ5+{ zRe}I_h9E{wBEbufp6rW`Rub3Sz$c5q08FQb zD|-@wv^4V3=6jeil!ZR26SsZv(YNAoSo-Rts^Scu{(3FbL zH4fVGKdv?}Oxfc_IDyHvy1I@Qpf|#kJ~V(vT1$-dV@_}C#z1ryv|VqcjMPitKDc3gARR-0C!D1O<;55;wOpytU<;cd8}3S?#vbLl|imZGwh+a z?IO(zuSPT{o&gQjqeiFd&j7Q2@~MS$y_3dli+pv6TB@yWT8TDO?S1iDTlIEY!pl}T z^r@Q*&ly!fdg07gWbkEFCDM1>-CS!EJL(sMX{}^sA0d58T(PwJz$a$vTQw zTWfIzT6A?PJveGr8U+mBSoSUOdcr3!!9kdXmHf4>vx_=$x)YBdv@}~5xUzNyAnJKT zqusBP3)6QwQVUHE_uoaj9yYAF6C$(n!V}|THlt&tE1P8@i^UkY$XhBfGujhlUxf5K zKR$K>car*dfgMxjE7i=U1le!2z#2-d_33$qbqoPKE@S=^wG?wTTJz&I)w_$RAEp=M zKN7X;^yC$W1cxD+f$A`E5ed_QgAxz?2KM(I zK%Kz{IWz)yf`_5W9n;EZODJX(3!YPY5GI~`-jj9tiI;6(vv;4e$0UtX_ajvR2!7f= zh0fWi)o9N~*E|E(@HbVO4eYa3GMirESaz|v5t<2bxSa6VYS^V*0+I`nN7dRIXd9z3 zR5a$aZM=1KEK6$HuYFb;Pc@R?mlrRN2zkQ^B|uT}J3@e#s)M!~nq>sY_?ewb@jIgq z6ifC=4YnnXt4QcahcH4zL0t)YVR8MBdSBNTy!p2%I+kNbTAbsayi&^)b~ zy&x6|KgSl-EQGIz1c|8(VDgdfML+ZGPdv-dfJprk^mC`$i#PPi?sk|;HaxUrHIok0 z$y8<^Yf!udqh^_UG?_xV^t2*!Syi2(s7$!i{xdqfo^e$N3g1kGOckOEC8=|!WQnv* zg7!Q)aY`igwO6hT8F(xm3zNnLdBn{Hwk(dc{CQ&J*w~P&h-UT{(errcsg&5kpF~a7 zwFW*N*)29}X;yAk8~WzG)o9Gr2!?U9U0??5d1(^TQK83=!=9x_HtSU!T&iUzQ=swT zZSak07?M7keVP_}ecPRX9OC(Uf$YYARA!QIp>x7_e=r4oNsq3Ubv;JYPU&|jGhGI~ zbXh?JqP9*^xwQ|W(}A0kximO$aX7@bEr60N@WJ$Een#^?<&7=R-0yHo;t2tISV_t% zTW?uv-@Yq{^{%8$dcRzKTaULA?2RI?GF2heffWsk=p3lbC5&0Y)PyoFz`~h7YEiGk z2s)?$ez7QAc^ZLt-E-;1v6vVEN3)P#?{2=tsNwjZp87q=CT}M6kx1LWf^j8&xSt8Z zTM<{R>T7Y95^9D*#Mx7J8Uv{DQr4@&vP?4lGuyWKU*ER)51IXC;sO*!S4?Jf2dO1> zfo@(W{m|gm?45!113Sp-506Sjx;~9eDP;mKt86}_ap9Il_ggJQM_N_KIU!YkTx;bD zM9KE+X}7+;Ew*k^P`7C=+~wz6S{513{xCy(vxzqT*a0)3x7U+d2808+%j?%^>l#02<=e{Z z7S!xve_?^opSCx<8zEL$3vFDt6Kua5ye;yiJli1A)#5MZ0uBkpTIbxvD7@cw@|*tw zj@ZL{22|DMJQxg?oBWhYm*b3sR)5ZY0mgS=g-Sfu27a6^jLZ=?yz#w^K7ag9mW5Kz zsj%5=^?pRNER)gp(6?}jjQ>ytAl5PNDEOb@Coa5c2`2oB99aSl+b;PHBLXVW8|jar zmwd?@J~VP|cfl&YP}1VW`$Iyt4E4UQqWGh)gV|2STcXbf2Cj@>YCqf?tDYtwR&At{ zR^z9yt%fhidjJUIk&93$R2R6?KFDYNB6nH*%l}E7Y+7`mZ^yGz`m@oHT)lEAMva1z z&$@qXTy&nu`mYx{t(_|-?}#_i{>8hKc^&s3_gMVoRpcWrI=)0^GW>%USu&!L5MO$M zy{zqg21SmXFD564`Rw5oSaUB@U1mRw5FU#{`r$B21gAd3?HHrAo1=^?82Yx!Uctk$q~E?wzs|kKfd^ zVM^pyZgPv*;!H}x;{|^suzOcc-^^@y@M}7jJ{xVIwn^^$BgpHd=nn_RG8b30IZJd5 zMziun5P#Z&rM1pG)lA9k?S+Ki1bpbttZF(5(~;o_HAB8wzwcdLsQ#kxq({Gr`YAU; z(Tse`t6sz_y(dMpq|qA{6)tE9rq8@ITO^V?#?6YAEgj)@`O63tI`lR15X*qb_-N9M zgst_5u6Dm7t9)InoUXZ@m+0&n~uC|O<=`9J% zGRH{!BAqo0iIy*MVqc8ZBxbj+$&A;L)X#vrK)O?tgKE<%_m^N$*9A_o=Jw++Be?H# zRidP>RXZL_$88@x6>6M5C-2L$F!d+fSejrwRdNilm3ddB8LpISF_djz z+Yi{{gp1@r;q!Ipn zZO?!}1A6L6D}q#xiiHP>eVwtm5@z_N54AMDSHMbKp%NUxESUFHhTl@MquuhjilB|5 zssxAKzxUU0OlF$~vCBa|UPky%tujHXXLhljW0pqAwxX!m9*EiGcNsWg@Iho*$a;eCqlvF~w8XM~RWcJ$h(1ix|X z>sAOy3OC{oi^XW0yG>sLcu0#$vN*A9HS5V>w-8$0EXXMMKgs?UPE$(tqdKI|6jI{aRci1vaZ0 z&}8;)cq^93)*>!AL72)n@}{F)r+l6YZ1^4@HCw&CKrh_&qGhIuWtU*W8oALGEpa}d zIqY#vWpBQ6R9Bs-^PzZWz%qQvig2-_Vjo~v>zh%dBVfIk2@ZH)m z{y~j8=^Lm*K;Jp*8$1`Q&!1Ueq-_k>ZX>c;WIjaf5zuE2!{6QUV?dAgnpM`UFsqQ@ z(q-p0uEP5G*N}4Hn*$}nq_M58=L}7T;Jbs0K-x#IE#K#L)qVdz(#mg{S`XK zFMo0mDlWVXsU7vb>U$w6Gk8JnND?}_f;=tQyUt@ze#w#@=E};)XK48?k#lsm34)1W zR3?RCXdU^uq=+?W!Tjai!hFjI+HG3?f#EP{O(aQY2skYLpL2VJtP9OhwOV~@b#22+d*HglO66{>Bi6aii6y6hGn zyC6(wDzco~`K%RT0>J2|Lhs~ME0bbnSHh%@@&Iq5RmX#J6if8a76qo>p&VIO1Q32d zqD!k^i$>oNcN401IxPY|RbyJ`v2=h55p`tD_OrGKAg=zgF*cSohy!xtr!ZUm5RNQ@ zZ!fm?x-`*QvqfKzJ=n)cU1qaDx8H2?8SrY;D1>>7;aJO~>O&WW+m^<|%S7Uz|A6>u z;?rF1y?>VGMNV9XQCMRo3Jqt?a?GZhE=X{DXUD>F-Z|jXk)v+9lBK6$X-_H3lsyX# zdEB3tMV2tR=}_T(nuNKJAbBHFVlDnd&<09Rd@$0WQ+aZ#v5EaGT`D!QGJGukE8GI) zZHWil+#GKo;fItRVXN)Q?Uf@D1dc5%R4axMp|%kX9m4l}yks&&wYh&|n*A8|5?KhBXph7GhJe;p|Mv41&J2_~U_#*;;EDA@x2o>ta# zg4uq9+{E<47V#T?<; zgeVPLt8z-%Ub9SGJiM;)+KEc56srfC2+1b<@r=UOei5jIB`z;AslMe+hij!l_lai* zLS7x?al*g8*;%(2bwTvHnW@p}%xF@x=ICfP6Gn6n zm}}s-8jpzCu-1!1116vYc{>>FmK0wNxAN$cxCxw335+s~;?5o@Kae@4wN%1j}w4v`GH7V7lR8>^n<54XA6S`nfUOm&G7EM+|AeztMX*JaR219dW#)HuK< zSx7f7zm9}Mwg`I$_%%X7a>TsAG1btQoS0Cy4)amC^dVMC(m^Ti2ep>hu1bzB(l6qT%pE>Z1uquoUGx zeKdXcnh$q81AwqHnxCkxYx+}d(~HwTlH3bJA0+O0Uh8fB~xnF=%I+80Vo@P7;JaZ(C)Q*YUrE7F9T-{r`5Vw zIia^)qAAaeBEuDH#%SY_`1SJBAP0#l$A0@2m9vCjk zwwPj@D*q#nneZ+kt(}Dcpo`;IaG@ec#~?@Nu0VS@CwuY|1Ys|0x4`XXyIWK92U}p@ zgk9LaWLLlG-*R_1&p|h?cH#`9bYnp#95c%`1tuYf&n*_aX%FsY>7DM;9hPr;voJWlo!Z_>ZSn=}24iY)VenV-y9 z!!VsxUT=`oYTQG%s60xq=iGK>orV1V!tZMCX}cF4 z2iyW_E>?VJFixqC@$|3o`(n>C5;p!~fLyY5Z^RUGTqeHV&@1$uBP+N9DH5L&c<^`r z$kFbX^}@RS%{TLv(A;ZMFQvZ+R!;uENM^~2-bjr2I(WVYx0;%L$4_2&sk#X&G2LX{ zQUZs(!HV=Hwkg#;D{#(YiGxRq_$X7GS-XnYouqj0Z{$essB;O{e@k(&2;m~xC7dJw zJX>K#vO*rB5hKeH`w|KA99nQ=>kIwGmKPWf&_)MYP>kqsR9kL!-INOLu+Mlql5J9o z3-Ha0vMl~9uJH8^sw%0+*i2Yl&?}fNWKkqY_UY_Kv=^`9ZZsd*lb=Wf>s}~c*ajHp z^lkF7;^6r{ru0NLE&3;8@Sqeb7N1g_i_SJjHe=lm4pA?}}`*c?LLYyEzo4)N@dX zRbX%GPt^BCOxQIoFQbYl7c%TFv0(-@mToUK?)_kkj5y3z8>g>Xa%83q2CQ`Mo22*e za?xhQmD@=<_trUq!eFqiQ_<%1+m%0M7~F(TCM`t^X*;A}AMdx_5*T~hpFIOQm(Tl7 zrWV~#(GE4wRqkWkOXjW~)1-snJ>Q@I`TyrHG3WI-Caj`iE~EmakAGM@(h4=6F{0po2W2*;v%cx~ zxa*kJ47R!WTcUt06$NpC7ndj7PE#qt(&p-rC_(yDd)Fd~TF6vnIxjV;QQXhr-L<2a zsITB-q57FUJ~?{13((D|_QpZNcv8L>A#_NHrqt-(R`Ffkbu`aMk-xl5kDL^pi*3!* zjSb=TL(MYHd2Ga#np|B=A8?e&2aOu}vNhGH-{M%R(|FPYnQ`>w!n9-o4T`r5lF?X%|}7m-`S}#~CH9i7f#pR%dQ?ONob6?#ubQv!+4V`5XJ^ zx!25J+mbD?-w?de(JT>YMJVAZ$YZCTfcGF`H8FZjRxKa}+#-nOAUHjy)XuUfSDlIi z%D!&(t3kZ7lWWv-ol^;3be$m3rRsHi5LF2#gQY|xUibULtqPp4K~E*Zw#tf#?-1d& zi1SmeSx`3{f0gQfd9~F~Y}U8x(~uIpan#u|a!__yzLCY;8zGC^uXRCmHpZzXN+wJA zloto{IxMbl`&LySHCZbC)~sl*MIM*@OZwGWNf(diVKLz!Ys8E}1a2LUdLnCp?s&%N z6m80wk;oDNeN2j(jSn#(u|N$|{;=s8gNi1IrQ3~PuA?j9#`pag*;A=eRq0dl-Ku8n z1|x%1u&rMt)QGNKu+q z?~t&;!(jPiyk>_}JTtVlHE0emRWA$ApK2m*b1^LAiM;ugd+PtkOdxq%Jp)je?eLn8 zHd1XHD-JB_db{rsOgdAn^Z+>P?=2Uwo&g7q<{_M+dV0&?-k*wrRwm1f#et}CM$3zB zflNvFEcIfS=VFbiULuf`-D{X z9m6)>jq3{c)}_kw?v;$|L-{e$pF+nSTyZ{1%?ryA3VK;1tqyFH(&k&A23(HLANT$p zHS75TgZKb`-Phyfn{S%P(JNfC0CmYg>z~vPN)}v!8_e()E z-!Xa8$)ls|q-I~|FcIQrnfUq1FB#W?`*vzOLS!4&MoiW~f{a z`jiXAhbd1nZI_TOKD8iY)@8))@6*y;zn|5JGs6N^<+%{Dgl9O*-kN@`o=Yx zH!2q%WOj5E&0i$0&tx#nSs*F$X{5U6DKfcVV zbIGH9*-QYzKlE$*gtf{%icz^0i|43pB&TffAhkQO_p00~oh^dRQumtY{&y+=w^Lk8 z66Ck3Me(*r(XVU|VidSJUOA5T%v$hzH}J>k5HY{UYSJ;!BsG`Hud?ccx59$emnt?i zUQYZ@1~EOuK83FzYutnu<*jt8(e5|0@HpiLU7(ENSI2?2Zeh_%QT2|Nmnur(DTB;j zw|b~CCtFq>Tnc86_vH4|^Y?OQ9h0TRe0CUyUZ`!_j$ zX8*A})}$Lb#CxD(f4ipA9$dOG2P{ifc7;|s>^)wt^yQjdnPB`>6Q2O`CD&s0LcM}g z=(ROJ6VoCCn8X|n&G?G3rW@*Xo5X!BEO^bQwJ43c3*D#TP^N<^4B=I=nW`n? zZf~*)$*6wX6TRh@_wPqWpB!KPjRv8hxXg*nuRA_7i$_gY>Zw+rGda&qYaN%SZ7*Ud^Cr3BC5JmkpTt6P zKBX39Te6@iwP9kk+yKqJ+VSFRDzbC=oVk;!i7DUI{hHY)`>BB+!f78X!xC1QOIHB= z6H>Uz>AW|*jhy)YniY;K4Iyh-@=ru$5y%~TCkoOla*SL=#HZH#|TkJBc!s_!6DS=&2UyA#B8wfC1<>ZYuY#?Vw~X(y&!%R8U&0CDntd zTkaQ#+wWV5UGh$mR3(nzi8C~KjqoKg+iLbw{2+XabeZxnEwp#HV!hugkU{4@Huu;X zjnY)qQ8i;E^uFH`55g;s6J2t>wlM+M!PV!F<397WTC?AM9oAal)%s)@=SW26!Mwxu z)qYfOK0mCU&%V{Z$)L*rliLSd)(_>e?RGkjx2r=E`ZSHkk7Pc2JJ3GuduDC*;Vl)p z5wKVjdQ?FPjb0#YwhO~CtOD?jk(AsQz80Hz=V=zn25^CynX z3yAR9#5`nfE#t&OQARuY;^7mbTp&$2#+Lgf$07|4ctnxom z>+&UH79_NeB`8k7PRRASW6Us6n1QYQT&O9wmJ_TF1s-2+_e!9B|p znD9o=088a+S8?p*Vnzi$e}l@30*Tc%dId~@V~5oiGdj!IV!p8u;p*_NcnX9r9+jS@ z`8v4>Vt?~0TPsS64ZBrcu;xmkJ#vZ-1TM5xr1yb047vJ4iGa#|I*#V|TYsI}Ns;!cdouV0&8t=5b>VrlO|9BRep71b`FI2KjS(dVZF zhUNpe3~L7UHD1+d#`#o8{@ zNKTBVU)cm5DsYB25F#BSf$&?1zsWcUl;8DQVgz5O#HF}>9aHO1U+~~HWY6&X%U}B+ ziQ0B_wGPrd(#&crG1?anYH~lBO{2C;0G6`I2+rr(Bs=P!2mX=|FckYG_zT2aV3J%j zzbS?L2$vuRxuvTgNK5~$>!LU=)LC+m z!I|Sh8n2G{+7BetQ-H!*7A}w+Pr|Ixi%eImKCQvQGF&+`$H*c_id?_*GR)A$ij$lk z8CxLq5!+um(ZOoDpUHNBjs2Ek&}H0G4^`c2g{Q&}CzYmqn`$i8$P~k4AZz&3h5Xs; zpsfhW&_7^M%p0hkV-^)gnsKBRsN_V7`qJF)CG8fdBmhlFWJt0oHqhe+juW%Y)oa2?s7rReIF@`p`m63vRHAa{vhp`E)g{d#R2^AN*}r@ z*$HaNN>R`JyoXpgdAH_W!FCfRIgQ)V>94INYA3{xR~0&ih|_kHFl& z9}R`YwACapO-psLrTs{y)jbRy)?0>TYPjBcI+@O%!SoN#Ma6#LniG=M8MhvgsuRMg zr2VEGZ0w|L)Su?opc`vhtYTe)nrDz`kKkHD^x}fTsnbNbnj7~mbDQNwc4#>hFB#;2 z@f2Wi3ADPrsHc$U`KIXHbT_yecwA+0wwc*a$!t!d*C(5hw9`~|6XSSf8NnD*02*OF z6)9;|CA{I5mi>zJ{`;nh!_dMZVpw#oX9s~j6_~RiBWBJZ$gbZBI8{$`+CTV;pI?@jgLO=W5$9EZWyV;=`7t1G z7GaV^d+_YUc*mTQl2Kh*-vy3*e0Tc{s2%=4(Lx&JUv|U#{Ie#~Ts+Y(Bz42#GBSIS znl)#Bdl6sC0u2%KH-h`tLLQrsepXUH$rI0(EfrG4F^>;Q4Vn!V>N9bo@y5CB^j5emK6jjP(r#U<04H?GR_uY7-$0E^p- z&;&ZJ!;2jB+kXZS4Fk9pInM>}I+ozNo4k<16uI1%Ggmi|I=ZyrVzZRF)>Uqv0fuPo zDiizM%^KiQ_I}Ya`{IKIBD?wZ%4^BSj9*uLqM6YrS>)H2>%1b@q-V z0@pH~$hX(|TRE`t2?j>K+2oH~`-%UKtklyW`jEl4H=;GiiEh5@MVYAls2GVh@$Wn` zKH-T@RLr>mF&wDYSr2sOJrR?dix!H@M!Y*u2wOOa^zOZQN?*hrM!FH zEq!hG*EaV^EH|5F__5=9d|0NXTTC=eVyNn+VXZzufu$NT+ahmf810q>^IqIWi*H|B zu)D)<2y?vjp6lL5)Phzg@(Bt*wU~$zkSs(L^X(0iY{ukoQZff}3!lwT7)CxwgJR=8 zmPfTL+?y_GG&zrATPoC)f27^fH|WVuxXctCvAE-H+aKLlPC6@7?KSD}vLB+8Qkw@J$k zf+jpz0Kf=jhm{rB=-y+-VNUAI0$17Z`I0P$EJeV2;9n1z(M1T#sqj&XyKbm;B=R~Q z>BclU(1G0~s~sF2Mvaz?=HmKCvu3ijQ_}rjr813ui4Vbupj2{g;yPR_@<=d+wU^Ac zvfQHsW4F6l(abZhabzhgQsOn}o7G&Hq*rAt^hE0rpDMJbnqghH}$pP8x@p0!Va?{D|rL^ZC<-J4fC*n)Q%y7Eexw1YNc!JAc zBK6@t7`1ngEJ4RWc>B z{=`sZ+7lb%TGA%hO!96G<2B$7&CG#J(PvTnwKy1^a&vl4h#ojeCa`h1Kwy3ew+E)i zn@4W=5Q}M4Az@b9j6R*Q1zQe+)bz3#pO%`&=kL;g7_%*&TUWhLY+Kf_A!yg9dn3phMdw)0iT6T>8s8jU%LJc!8dcFNKnj_t>KZJR0onG!6nCb}u(#LYa|K38?5@K!Pah0SeDu)?yRV;6JH z`Z|I7V`RuzdCLpUsHt$iEAdvO!GMD31;0t)!h9{GZIc(6CpAv{mP&!UUW9(oOOP`f z6*%ySU*|GRWvBsfuiB#_!Jh`2Q;lzf)6qy%&zPP6QC+RWuoVx>lO{we>cH0Pj!)p+ zPxZEUI{+_amUnUQxQbzQaD_N3J8x=Hm4+0an3Q1n_aew!-)F@g)wBxZ8)CmUlj-R1 zUA-&@*2c_jv=iReDg{&Xc)&SkD8{ld(A}ZBF@3v&izk$e_u7+BbQGP!Yu215TV`A* zQ%KESwDOpoww~l7J6h2lqn17o7rcqbQbXevj%IXA3EK?+ST*osG5lLrK*nI3Us&F}wZ9xvTPmOXP z9@Y9rS%ET{v7QjLX~L#GGQREAtCUT)es1~kjbLh{1s0hdJYI%2c4NgFvpFNFy?N;R z14D3A-R59j$Jk110>LWL$!0?QT^UH0ivJmK1RtOW7@Aark?dW zRj)^q3+9J#8EN|6;j4H>WONA(O^Y?;LQ5I+(qKFS?;Rk%dIFMz2{xUL4u|1SRG_dE z19~ad3kFj=xlJ8klUs4nvnyqWKY{|KudIcvl5{(f_YC#KKYll?7B}Ml^(LA$iZNq5 zVT7J@d=6G6(ijbiXgC|7P5;i6O9NF_6?dSJLRbp=Vdf*~cCiij$VBRZ%weeN&_3g*m=XjL6vB^K!*chz;qVSpR5WRzJL#6-a3c4s4JU%^0#W$j zRik2*`jBCuLRwB=lIc|grLeRBdjkx&Uq+y+%z-$?DUwP?>EP@c6SD3JAz&4&pQwLJ z$}|^|D*h%L z_|tjL-xSK01;Z>`A{Kqq)d3I~8KDfN0ja6s@BuyWSp|B0wgp*9OBFX4oAgvUP<`cr ze*BI;Ag8-|vGFMXQ6&7^k5G5(7L2}b#_=51X` zFVZ#9H+E6>l#>;;uXS%1WKO=j?BlL*CUUK{{pNN|%(J*$NQiBC4Rh>3rYCs1(7a6y zc&lVV^F=!!aR4t03iYGHkhP;&_AKKW6}u^V!PN|IlQQu@pjp4t@~t$nuwzYWvC?5j zDv!${9@OmtNfso#WaOO-r=9ceGzM{C-0s+!%Jkpx#-0wPsqVq=*7VW$dx!UD zOQInJixe4TlS%F2!=b(D<#qwyt19^;?G_p{65~;F{ycXxPEdgIOx`skZx##P1 zKTK__*LO5{YNrx?YPecRO>FRnl$P*TqrJA5CT;~X-`UkowTZ(s&$m8)?Up3BQ$0DQ zdQ>Qh$tK{;I+B?(D0(`0N*Pu8RlBdAVW_Qv4XC@+{(>ImXX8=YmrBXk)@1yFY1B7@ z3jFIpn2?ozK!;$}$vRTtCVIjs7Ygkobo=B z$TDr2cXbA~3I^W%-BcQn$v#elOdz-~(Anni4nh`Ci!4Ei+hBM#{Yz0Dkdy=jvrDDs z&w4o$KM#jNguc`S|EsUB4vV_`_8q#B z0frj7q?86JX&6$PLAn$eN;~zibEm+HCa8}mQc z66N<+l0CKmV+#{FCGU(Se+R3U4eEeFt_pEwbDr`$YPX(79ny>Q{%nmr<&ccAXx3Z6 ztV~j)WYgNsm~$D-0eGEM_aD6jo893Qm#~76xPu0c!@65!)IweG!;^_*p>OI7HX`=m zi%mk510}WP(FEc2AH@YlDZCp`PfeJ8(LUw30%8*;$G>7XMz$mwm<{@sj^Eya<~a9g z1bzpc-;SJ*FB^83*u_#_mbF^fWbfRLQ-B-rQgzree*nPjtoYy=HYhWrd9rzk z)na6M(twoDh+6y$KFx~TknFGs4~BHXEOn29!b;VITY_AA<uEy?d>-h7i+j2l~X zu9ms%j^0q?jeFv{sH={zO5#Xp=KT#oA>rku+-$+G7EC%<>{jS~mG|-GsF~|pT4Z^G z>_#enFlO%46bz@JG{XWy+_pd2eNCO#m+-)ai5qjROPND@HeEh)h2>0`UrCkL`@MC& zc-#K@W%!R{x8K6Ny*wPwcK{CsO;o6lVoqQ6R``$uW8IMatonEj)=D~zJSsEbzH50_ zxYp6PPr*YC6Q>}N;b+Fo9k*p;lNNb~GghUYTy5x8V)Pc7KdTVfabK!yrx}jm6wR^Q z2O#3#4WlF|U|#IpxgkhVNMu8KY8~wi1qZcHe62;e^rTbN1^wgQRao;{0B40I7S)}c zy!Hi4S`swFT*Fu^$P%gAiPY|MsYIuNI^|}gw}+IyLfoZ917pKv3r`?~(31q~Pr&c* zP!hibf@+KG5X~2Geso$x3PERblyO@z1uv>0e7XCryR~0A@X&~i1)nDg91V)k{N{zC z^z4N;<}dt-d#RX13ij>eQU}@MftZdnD*`=)7`IL<-&AdTjuts0yNmDZOjfy zo}lP}?CVaz?F_!NMAK4srDd9Z<1Oyr&_n(rD<03TT~;b5^XY*hOf1@xzvaZrx@HRG zXwRZeu)`>|aK@YH{|YKvECu1lYKc^7cG*!u-PSjC=$~m=fSi+MoUr}KT@wkDfb(&+ zA03`ZGaNwx-ej>#=O;xx;@M+i?=j6KNy0s4(hq-oQ%4Ou8Ttt{`#{W$Keroq{$}|y zkbadl;yC@Hj>N}l{7p`D?&JLwm1Qa3N0Ka}0cW!GWuR5^*2?FFKgeAqc!IRLyAd&6 z5q|)5y4zyJJ;J$Az5ex?=z%PJ*QP#?Bhbj8hD_5cGFZ^VyUTqYa z!UZ@s8L=Fy#ZAdF;=exZZ&Z$;KQzp1+>%AJbmEP>rkoZM^v1-4E6oUu*BjWLO0Y+1 ziVL=4c`kY^`E|C1i1ac1KS#IaE{QaF;)${}0XTogI*%%e3in+L7z=8fK!sR`N2o~# z#Hws%d*WLx`>>3KmWMt!w<(N$9e=#=dq|~$#niquN*eK`DQ;O)!ii^rjP$x~`ZjRf z7O;yl?wsS&PeFP>)?cNYTQ%62=|-%QH#*F+5F(QL9B_`g+j|473?j700zjQ1@-m|8 z;+`>%T5^czxa6(;1p^{lGPbsiC(elW*D~tcH?t@FUgAKE>PQQK>zD=63GBsg3DVKz zC5V}BQ`zKko+MPeqb$w5Hk{>7Bu$7k0YVWDfU>rdeO}w-4y}?Dn!E`4l(T7my)DiJ zvKWK)Y=zLs@$`{K9qpNK3k^n39qp}o8%fIAhq+;+Zj0tr|qFom@1Wdn?1 zXxurpxA#sRd1u;`a++Vhw8Q{2FYK-*$NHf$mipl*_bujJEM(ER0gNoGiWRP)Ncpla=~!kQn2Up_(lO>6YDQyX43^m=EG6CJufyuGO8E3 z@PcGjoYBhAYPTg%`PWx7brKB6Ml9S{Q@!{DD8Mo$)<>Z6I>J|>8^HzH5?Qv5CNH#K zrUIxB=a1^;BFk~IyPoCMH{5&drSvX@OKu*k>VA4R)QeQ-9(4WW* zU-{XM3DS1%50t0zw51A~oXnUoh<$)Fu3v|K>4KBG3tq;Y4*Etu3ww_x65~val!-!s z=(*q#Y25_7Ri@nvnA-B;R~elE7>HG6y{gl`yhT?T>Y#))LvhRKzY@ETDRqGpd+yMO z8Th4#W~DfwZA|9H&}3{*9}@Sb+97QZ`e9vU;@z^)M@y}IoXLHU*`knBY&@zxl2bvW z&1I4FjJbRaCT%mOpa6%#9x<&^ck=qQ$RU_jt-SaX&1VfW_@U8$>0#9u7D705+Bl-| zt!Xz8s!muxJgPGi2BPmWh==z?>{J=YiH(@O;aTi(UI~)Ba|%5r9!rU5ee|a7mQj^S z!uLh9kj8L?naO%Ao3mJj=UjE%3(BP94TsabqJk6F` zzjS$11~h22@QD7+Pam5SYD~ZQ^V(20z_8LOS{ai zAKhDn-lPg$EaJu*valM$Q}T7*bL$hdnF;(NiHyzpfuN)D69xAeVL`(DRn4aU{nJT_<)LyQ%i#xcMzUwr~MThj``fy@OqUI5X693J#is%l(& z0a@PH`ISqnGnK5$tc%E;ywETYa5_=JBjD;POUN20FQ-K_Kgs4K-@Vjg$oT*s@H6~9 z&Yhy_8sjb&Xp^KVq)vzZC3+hL+qQRYo)&TptcH=%UuL+AljPWy?xVc-zL`A{@f1u1 zfYO>P$i31<6*!PBo5$Fn;9s!+;7@akOfuv$%<>Ow>I^)8)r-zTt(v<#N*8P7*Nn2WvJTn7&y4DvV2F;R?QMzO)@No@7X)`P5;x|j z$+qQ3>qCDErxz|4*JS8j=Q8dT$*{Z5AtRH7E%SXN&?02!6hAHF8QsS{yJ_hUL>J%` zkMsRM2XC*RxiearpzlRNd8gUI=RUjgq*utqwhbPV!}lSs{yBU(@l|@g9&1LaU9r*_S%*?=xZlf`r*TmoBwyhoKBfGGHOQ3Z0yhp`t%T0cVdsi zhdszK-V8s3kfAg3%u*mzwV&7LleY<7LjufMwo%hiW`sQx>dV>W8pR?)!MGLYcOFN1 zG_ELUMff?s7>v}k6G8qZLEDI*oc3Z~+B5PT#UjGV>p3%i(xk2Fh|G#{q;GO{cpU%i zks1!s;+F_(j^ATR@tY^l{}ST?>o1@lh=~W8i1~kEJGM;j_{dk4?b7u7t9wbSV}||J zcc<~)_?D&9ezyZ5e*H$3LN_aUZRZRQqz5GLd1hES|_jcpx zP(3xGa4qQr(y4y2k6jFMeLk;pEM6@q3ITTnvJ?x{mL~#)I0vbJ*05u=+v0nu z^Slu^6DUla&L5bEurS?mkyB_8ASa59sQtnOIV7ttm!PDAqbff)6CN;U7?pE^>y&u+ zrJ3kDhn_Omihto8!w|331%K%%Zl6^!pru(v^7!2iB>%*cNMvj*l2$W!%Wc^$9ashL zH5_$s1n?X7l{U%ir{fA}^DHWtJU5ybx!tX7Zml=FGUif zicgu$jqCTFvE#%R46fYE2^``=$7umi9(u0?@M)iyE)5>tR%5iBr?sG7_?kDS6=`mX$D5R8)&yFS3ENk@`gourdywjE*`yPKF zdo)ePBKXKT6~CA?hb-SV1p*qRYraq2La_rDCQ#rcd`%jt!iIBqsznyFzKfszI0V;e zk6*1?W;NB|*`5!lBpRM1E`wGy=K>Pbm|j+J)w5NQ!dqAOUZ~?!Ygnc?m8DWA#jtQH zjUh((?$;pU>@cRYJ0Zgb4eM{}wBtqHs!M)1j@>{WA@n=dI3;71B={TZKKza0`q(m> zFnnr92ya)Ku7!Ck5=JK5{9nW4_JjN+xGT?-YIeIWJB4Sr*Mg5OwLT>7Gd{?xIr|T2 z;`*ESE7{n_mXf+_h_h7=kG+Guqom`^YtlSh`8(|}2rjyJ?ugXP6yME%9vaWunWeaKx5tmAe_JJ(M65LhDr_qk zX5JO8x8$)hRx6`hBl#_iYYlPy2e1kCcF|R*pPHI)U+R&E@$-e$Z9Z!KyN@4ES(Wfz zsF`M2xzqs*VkV#hUt(i4zb;9sP{gKQ<^C^L8|^*TNPC|9zBYF#UZrBQN?jFz=Vt&$ z+%IPriZWw4v1*_Rlt&W(=oajlQT3_xyIjM~gk<2Z((Vl$lvvKM<6RS7?)!Otyk;XZ$E0oJ_ zwMa*O zi$1RE6XL3_X#FS+ruEm^NQwGe?W243)42xHqHekUFS!}|b^ef_ff{i}IZ=sCM`+x= z=i$jdR@Bxqoum56TDdlYHxD3uuTVqDLj*R2ONX6(Ps`$Bofm{mnq*tEU=h?NQCVyt zP`Q@U52NZ8bEd3j<_S^vkOi(3Fcv~(-6#IyIRR8@{rz9}=M;pUc%$scyw}DEfxcQA zZVp<^)J^IioMQd)72!Ky*c#RhQ@9J>@l~@v&P^H9)ewM}>&aBjC3B$5zFiC^C_yIc zJev8tvtzX=k>1?3uf?#w3ZKfR{~l1y>b~W-5QMUB4i12cEtWO?9!l=JW|p1NxS@UR zFM0bfY}{y6F~o%iP)Da)g8Fbj?ipjAucMjKirqAdCUNnSRT9{6%(x*8A z4)STPYXy*EjeU>^qSk>D&Kb6L(&lQ~yAwwu&1JE^hWd)?#!`NQb;1-tXn|XdaliDW zX&1*ix7TkS)I%Mn#T@uRS$|Iv70bI7vCCGPe5sM3rh|oRVkG`=Hn2zYCTIWyJG=`) z1;)*k%Lq{e%v{ug?VLY-K9#v0=P1C2L?5Nl+Kt)koqHj$_Hk}Ug0ps>1*Ms(#or5E z)fCkPYI8)>+r!#PFLgO(pMyDw`m~A#xxpZ* z_;^hQqJdkxWzIccWeMvp;*surX=uQlj+E+)Ym1eQ*DK8EMZDho=(HMFMba{{$4JCA zm5S}Eh0Kc9jiw&uYpGd&S=#jnKt&ew#taYrWA4);cNT+=^d1dO$57UiftDe=X(cB| zkN;1WRD8`GsI84JcZ_NEsb1vB7g~G@&ns?N~1TtJA1EU)IHJPWi&d^qUE<`+uQfl|5eTKsIb3 zi=NnAWy`cbx%pe7ee(gLP&~AVFJ0b38+ADqZ>>yMo+JywSq^&q#P{LRZ5-tCPpaod zZrX)UjT?hs?op^u{ibz=parWcdL^|?(elY@f)_?sj-zL5Zs#3)E}^AhABl#`sHcATf`7q&t5lh*qZ4T}E}$6WoEuT~ zw#cT0p_)zI@aKDQw#WOnzxGXh9Q9huuShd`D<~E6E#86np|~iA6cd#Z)oBH@aDC{M zNg)BcBtT9x699cA;$u@J+bXcYP4v;I;YQPF26$4$STGVYKJ1lZJYa%V`sET`&kP_% z#Tg_%Or82p0GvqtZb+;$sok@pI|L0nEzl}sb7R}MM})nejwbxrQWvI(q;gsh=OB#W zWQ%Emrj1d3lm@?2Y1(3_GRj*73CkBbqq{$~%8u^GJd))SF`a>BoxLpj18C5-(X3nq zIt6Ao2ncD$DX4;YzCrg0Y?WeKbnn>7#~`1XQVmO+&fZLu84m##s;@?y32>V2bEfss zc2d@NRR~^-JRh1Cym+gOWm%V|=;FCuKdD*5-DfHP&k>*7WNTw>VnNm*ohRoxLZ5$|!M_n7b;4aA=&^##rVomBq-3KdyRv{|D;Lu{=Lk@4IiAln{rnZh5ykTZ8& zO>3;fU12uLYNtTsE*Xy2Zf#C+;l+67DcXCT@o%?uhR#jUPYT;4Ehxp9b!0C!?}8VU zD;?fghIPLbHXGvgN@I(SnBdrzpo*?``?PKREz_6ufjgSsu-%ytyxXA{7KH2W5(wuV zQfk!5NrCL4@3Kp85{;9vTbT2+_!S$qF$%T_~v3RylUKG{S_kvo40@2b1ycmxm-=r$y281n1HVpZRnRu47N+O6rfhw_U^)KQZ{fA` zo?q&lGn_(vnTQrsi8bCczjBN7J#Ui#eFd~Bo4XSC+(j~Yp}2P~>DRjAV7JfuU)pan z%tRGrpm!cxe`5abvh`qcd`{NePg!%bQNMj9)V-v;Jh6_>fygoG?3#y71I@scOaL`u z5@(Pv>)ZMs+2E&q{qjnP9aeyAD$!6`-s@lUt!QXi6D!!z@k|&GziQWSWY%NtM7U3e zGsWw#wB!TftndD@<9qHMWU6e87W(F#Kp+em-=<1pn5CAEqDBbv@!F#_9XMT=qf@V% z-gCYA2yc|1;&|I$p4)nna{+e@dFw?!Z*O<5q*nOdGpRLqF6U%sn$P2Sf;V*Gbhpau z#ks1)KWiC5$RG=RBHOMZW!H)fgzG9eYqvvJBisi2oAp`pgYVU}ADR?U@5-hKa=yG8 zsQkRWrqZYmr_9V|X-L6=AJGc6srVhpR2 z?xIVVqmZ*16q3|6$RGGeT73T44~qbpD!0Tt$Sb8*YN&bIKfk@*&i(p7ht4d$Y0F8_ z3g-U4D^DXKpXI91Rs2Aj3vg)Db($de&}GMC--6h2YD8_Dy}oh9$a5TE;Tq<97f(8^ zn?cEATics!z(-A5@E15x?f@9LI|ZW= z2Nt$fRaKO&8ZZ=Y7hMf0d@4ioJ!|EF>phRogJ!$c7Z{VdOL?q5jWCCrZJ zsasqdUj176y$ooQWHZ~ch|;SBwd5r8%nj1g<|HzwAB3|pZ_l7Pw@fK4WU2lD0_7#K zxvxq!DC@-}AYE&$KsVd3SU4O`S6LG5RH~Al=T?rI6bg z!op(u!&vqp2KrQ!vZ|uekIBuqEWs*!4N$1ocFvx#L*HmkYIIep?Go&IhT(r>g~j7m z&65OQgA&|U7wI*M6LPv%m?l2~sZTP~pBp>~R3MeB@G-sOoXVgLDVluRaA!%I6qmE> zXuD%vPMzmdbp{syEV3VFIM9#o>Pdm3PzciqlSApb76w_5X8s2W_e``{Vs zm|?b?!=iReB==lPLr%GQqL7UNYSYV-oo^yNX9O+1UXEsdMxnW-s&I!W~?fLodF1Bbw@4A zXqhN5ym6l!_S0PIdp*E1k1SX_$vqMuX9#jAM@SfGHOKewH8d8V;MwHi2lN$7D8cmY z$neDF{(0mPswq3-6c%~!zQ;=>%VvzhgY(8I6f>K_m&{bvAOB`C*;FQ7oTHc*;j`K4 zI-C5tV=LNH&qb!1Q1l|I7*M_mBzCIzBOBX}+vm_s``2|V$d)u5$&iVySdct_+R}xd(aoe@No@G)6wqL2YI*Mt0iB;VgGRj5W_eI z9Y4mU$7CJKDdwPGR+uW*_Rs6INs1$hjUOemb_X;WMm!B>6)o|~rJ7@N%PU09p1I3H z2eHaCGFSBq*@gFy3+M>p&yfcNAr-yRBrS<4dgHTzNfk60;KEic7|%5n_!F?|ThnR~f#4$6NPG*)^o(H3mQ zw047izrdFNVNk$x#-+O{z%b$dk6!Y{wem3W8o~rw`nmC%JucHl*&hN()uqFG44T&y z`lQ^;@WQG0vcolXK29=t6A0zm(chXUzi6?B^ia_VCdr~&n%Je_dyRBv^>~P&7e1j`zakq-K)~4c8 z-~?ZIn7GEB$n2ZjpSf37w<9QXF~I&;kCI4H={DB*K>8Tc;09V9S>ApA*W)V>?saZ3 zcHu}CQ(RF0;4^Bv!?xz!q1tIF=y-4-ILBgc#Zib4%k&lRi*kxjZ?Psh-Lxr+N!J>n zHGd>CUqhf5;`_Y-7v%YA`J66>AO*OMijZmRd+@ZtsleRKrVb1cY^XWFIQ=g815j1p zIQT069T|kUP-+~W+yB95|D6{vZUF(~a1|gg1Q0Jvg_}j<;CwV9HG0#u;X!Sl2m4cH zjU5lug0WA};8+XR6{m$mD(7vR?F@{@0Z>|0oE(2)@pn^`!&tZJZW@X}n|n5z>kUQj zAcE`aR52|hM@x9tR1w}ggZb^w!pbSjyYu+RL!+{CkeLhMe{B>K#yo217Ue8h!6a1` zL*fWpt@aX20WsCe^{0R;C^x(6EVj5Yb=Z5_Jff~nd|AzH49Z?=V~%DqUmPE06ffM@ z{(tNnmS?!Y`DHb?aLbcMLBJf`h^A@J1#H}!9L<~IKs@eoN5h1f({tv~i{0y2%D{zv zn->s<#nyEqJlKWq8M_23G}6H6M8aLG*4sP?P~UXtfuSQo`cDVAM&>W>lP=6nyAn>Z zOM43ya%9B9^AZL43*omwMpXBD{Jo9hqVtxd=brS;4=wMmDyZdkaNzN1iXV*J?KGDW^+!RZAQu}TB%ACx_QCM!vnZ$ z^Sc;9uVNQid{c)ui<`Xsyg?5@(RiapILp^8JrE2#;j|m_=VV-4Xz0_>6KXd8wc# z{3w;GuV!51>w*kBA`P`hwh|+QR!naqG=Z68*a@B8QciuY>5No|flr{6(m#*&ARw(} p5#=9YH#d_3|J#jae_Kk|{B7clkB6rW(0TX&c>;IY+21E-{||J_EffF% literal 25546 zcmeFYbyOX}wmx`pg1ZwuxVuYmcM0we!QFzpySux)JLljYAOtuB4<0l>a`nA8_s&{( z=AT)!ULSfjRo%6#YVX=r-~PJ#_uB7Gz()Y=Uk^Aq*mnqTKV&3CL?mP^6x6pL76~Q} z=Gz|$AsHe5+sXQYocseT4>Kb(kGPgh2ei7BU1thlebNZh(Ry2SB1j zK%qnY9sv*mAOMh15D*Z6e;lxI&@k{&kbmxC{nz}zKJa@3fCTkc1`P`BEu(edAI1LT ze_(`72@C$?QW8cIpfVUxP0bttnq}LjnpVZw;(F`5s3j+Ik)zPVrl&3;0W;DMJA~H{ z`nvDka&ZFxvnm!P4;$GKQ74lT^D;UI02-QgHNiS5eFbfIoWLTL6`+D$ipKRv*T@s4 zuh@kpoz-#-OLM(sKx(=FtQzrAfey(opE7#FJbF3+1b(vS$OT<;3IVNz*XLBKW;I;-|X1?pOB^OY~twG53wLB{{I67=AyJUw#lKMj+-y%w!m50U(sMSAU6Fn<9X?+GvP z?LTTVC%-XXa^Qbd3yq=uj*$b zCTi;hE=m`k)=2!AS?5LSaDq3~ydkgJY8bpgX~Rsn)T}o#5SKbSzF%EGObL>`rG)9< zY0wE=enFe-Wq)=jCJ>5>L(H6QQ);L%&i{owqVwf=VVF9$rApHB}X z{C+%ifj0^n$G>W6ytFt1jGr1@ZM&)t4Dx5S^!08Svi#&iW@X;lV&0inYND46gA@nc zM2?ov4Y9<=;m#@hE5jwAz=5bEAZ*x2XDqkkx=Av0x$_YAGe>;mG z-QcVX%IElxh zvJ!;O#_FWWsxE{Ail*6YfsNJdDYM(FuHFg#LQpzHMYJ@%sz%d9I)Su!UlaEuzb(?z zCedO5z8iEKoA{lUf|)k!ui74$i|s=PKah)Csf4G?p>zuJthx-M5FuMB(Cd9l(yRjot1mwZ<_nd1wvl$X7I#(CG7#2K1yPV1My3J!`GVD z76Rml4>B8*%t50&DX3PPWkMF9d)X$QQs1cV9toN>+l0z4!Pz%kRXVC)xB#Cgg1_G; zjF*t2d3ViMgCgL#_1=bn=Q0~nlR_pVmJnD&nV1$RNDq`)W{8@K%7){I?i^TfIBx1~ zv#B=$*WC1nd^rR6eIZW;#_Hw5DSlNyO14{Cnba68PaM9qi{ctgJ)Izu)F)sDXt7k* zF!VJ#H!8aHT2(K771<-9{_4FSgPy$-)hnyyRlJQ8VxfRf^P2e9D$?8K%UL*am!3Ns z-P`49C3L?szZCTi`puCAtD3LLIs0jPR*(70?BomoRVM%hlfyb>s!{#5P*cbsS^IYj zM@m*G?ZmwZXJ;Q#`{HKb%;8@rx<(;NnTdk2LRq)F?B2)!=n?rhN;@Qz_ab8I-b zYpJJgIkwq;HYBRnSC*u$H=QU~qeW}^;Tq;WxZNjSp7l2&fvk^gjPj;hbQj77Q%%x% z1RjphYbMq2acO*CP<(O^t%0pBcEi&)1?_tWYNn#i?_Tg1Sk>h6VXrvdUyJ-T6Dz?P z&7yikrxoiqCI_BGyWXo@L5k-!2s8OB_zPD(y;ZslHH~%~`*~&`sSn^5IL^kr)wCGQ zO6+=(tL%zY=Rr96JxE#0o0FH#70kafixRYcktpcQZrlK}vwcIEI-nZ_r;Z>YpFJ-#n+c{$qxf&%~m6e8AUAVf7+MBDR}HMh~< zo<(NuG`0x*TjDPlB#i1P|8?q?dqPT9PRh{8G$bg&*nLaZD*$$A_H0(CCsOr)NJd(h@Q- zEjO(+CxL5U*rjgL`EXZO-~`CjZ?0es36IZ5$X$Cw37BTu2k++g361djBz?xQ!Uhk~ zoF9dh%9@v!RqmkGCmPJ0hRT0{Tz(9gX2RdifZkNlZ}i?%a^#oL1~BsG=Ry)rvjyM~ z6da$piKw69-I`h6B;3aKUpk0jb3n9wa%6|c+w|%o!=1j5S>XCr4YI;-VzyBIBq?dL0Nu?BMbse4FKsb#@Qr?(C18rh(GG z;A}Ia3Va6DrCXj2L^ra>F}i{h>0t=xtV;tLMhQH-b#* zI$02Ox^Dfc%A18)Q_ocA^aCR$WmU_mxy0jFSvpBE=Ygr?b?A`Qx8|yE6Nw-*Gjdd( z;B=r|CW_E$B+~%+BKiZJ$-0ZQj@peS?~M*_*;Uy-z2O2Ylx|z;#nqP|Ah*sK*)NW8 ze01E`_+%cTZte7^v)N0BmA&z`lt#+jw~$KQS%SM#XPh27a{I2hLbxChl+b?}2`DaY zbUsE~%6^!jL($V>RW+U2^jK0u^_MN_WL=!zhCsZ`&yck#WBX;-qIcxE$g?ZfM*q~4 zZ)&MedXDS{D?!$eRyc`kEoo)*db%3BU7$xQj(+M(5E7YxQ+LQAx1=Oc&tjueqE~ry z#5=0js<@awo1l}!!<^b3z|mbloK<6`$lBL^5>0u?3$CK$W6J27g7v`I!fE`el2pN% zU@U%+sCokgcgWCe zC{|r{Fq@>cwiky?^X8MPR7G8Q7-j@^IN0UuxW{+x0m#DO9o8aI@?TG+8r@YrX?XLSPhFicM2b6v*wKM8^zs+^nxGS?#M0?e*;w2J>ogH%8Kg0PR;^}*TF8O4zv6D=;rly%R&X<-3os` z?;k?9b2$jq{`T(#{_A`bd~Az+SuefV#^$h#t2oymAn!b!_;H}O=3TDFoTPuUmNLFi zPBjbge#I;$rh4In!A!tV^QukhLB_up`0sMjyv8$ubumQXAA_^R6tPL-m9Mdvy#3p^ z>*)9m%3VTn54^zn;GENLxTWVZrg`A>{Y@p4UEseH_y3LjfH$Uw3k?7X2?+rK3j+lW z0Rw<~TPmR;VIW`uXmIElm{^?HIHVk0xa<-vBFaW&EV4hFv23@lr6h|uxsw) z-Bua_^>TNdf@_3^`WT=CjLOPNc;}-WD(0AHRQ#qOd^&3ES=jBp2mX;}&Eqy=#;#Uym=>~Z% z*)C(m67*nSt)qM7(;sY)5A^>RLB(CAgo~3@#286zAm>m)a|8Ax zp1VxVCri85A5pC=G$aYM4|w0vW1Ob5pf3cuE6WNL@8dP*`(>4PFBC7(>Rf7_?bimH za)~f!nC6{Hw=boRtgUn4H49dp{oyqBb5nb~)+MhMgaVq-8I#iK+9>B4Ez$ops>0EJ zbI1%$&E#K5n2HJpb!xG{(7(*B(_&Zg!&!Kd?a@l{q}aHh$Q})SkXSy|z?2J6a&BX_ zZ|V@V%~@d(qLQzqTJ)v;sFx?Dxar(p71J5ehLL(oPwZhywI>DL-`@T8or;OsUY(sw zU$#>^*ZPe2OUUkt-ghsMx)$$m0Cnprs;UAH-PoS*hzpUT3*`atkGCFW=l0|^CIuIj zac*`%W3T*JdQV0O6W%|+U3R4GiGK{x1%}md+^H(_QTNWqk{~h+ zW9011fL!L22WVfU^m}>AJ!gZ(ZOPh6g~I(W`>fuBX5|m@#{J#fMQ#@<;Vh?S8H9Ee zlI=sy_KOrYbp!<_gIXrcBN5_V?M+0ulyeZ_F>um=v1<;;z4zqKzvOBfWSLLU zvF`yFqzVIRNob;znb6Zxn`73CJ>jr0xO?N+_FmPt5TV4}+@vUD+t!rtAREIT{llu2 z5z9KfqLAb3MmnwE_wwv%`-&nq?bC*(=P_LSQYzZos`YhN-@tfaxbsvAxm%2mHn#vU zuw&zDBuKQ25a!ED&-Rv+aHzKp;USbwr$Ni+Sw3Y?F6}B_M+$N;&xT3u)N(iCi9lmk z>-w4fJ0{WKA?+N_t=@th*>&f^+iGlj`Hi!cHugN2)f+d z%wJk%te{CYwYoiPu$Qhl&KACdZBN@ujTRg?=~uVg0i!7EW7#k9-7MKufZo) z>hxcz=KRm@H8kG2OHrn$@yZA_9QcEhdHehpuU8^idA7J@2t4$}yL=!pUd%9X( z9W>>%D zYs_AFzA4TNhaagGN$&>L*xW`PhxN*C75W1WVR=&$@Qz!mmV@32HrmjLLbV!B!BQ@B zT9u+HD(u-EJ?Olb&SXCM$eI$$}UzV>i=NO*gKKY2UQfPYc*juTw&}D>Z%{j4# zGmKoVpc&a<-i|uX;0<^85m?o~d#@lx0JSyZ_RhuCXZh=l%3Q*=zWI?OPO}PG30>8q zt^f>lShsRuF~p|LZ5sV7RL%zsMaJ%niJ3+&12{SRI3HBI7SBs|5H#4mXkC zhNu*<5n2L&4nH$pT$F$#FI*0OK5yts?_~}8ZV*hm?Mz4NlnL3e%-j*Yp4YwX`L1w= zFeR`vJO?QaTVZ#GeI~R?tK6KLvF0wFbW$I;k^o`Xq5_<2jB|uJ?TG%2s`_>lJN#bw z%-F$Q;6lP305NKhEu=Arw$-3=E24Y@!YRl2_(Z%`^swUZQ)_X+om;1FjO-|qWnp6s zUdLGC=|}LczwE#ur@BTq&Pa#yJUt}O!SE5shq%xD$FNqj@UzNm2+3liaarn4Q83MM zj<4W+j(9(k`9^JDuEOTM6s^ZIebuPxLu8NakJxpeWU5}ohUc~**}%U6XO+(B+jQQJ z{`V+W@Aoeh=j0eV4c^o2(d02OUTY4{X0@Sk%y04HnKn-zj@zRA0TP_4-+*UUhl?%D z>($`)7>m1l{Js9GWIs;B@e|KYTk?0g>GwZ}*}fp1dyHR<=y;90L~>TWis~-9J_psg z`#i1Wa{t|`m#Dk|egv&%U8`h0`^1WBq?yso88uAp`d@Br380^PNmt6>xllCIB$U9l z!TE10WtDbL8J&B#qy6onOC^U1V}jJ^1QQ0bJN0U7ZHn+0b;jUN7Mw5aQ2(&!E*wUj zX|^p;Qd>I?H= z43<)qeC4J3=fi1ry$74<;8cHQzvtHl!3f_iDu$irm>&j)W60l+dLIH{!sB>n z%wxuhU)CAxO(xqkzk<+7yu;(zSa2#jfnL7~g#jQB@_ys3FpHsjcH#&qJGXqE({ z>6SLf{)Od48CdnkIjzWT1A}(bDmt&0-_Uuj(Hg8;b$$ILTe(&K@U_x&Tz9>dVY3#{ zcE^^F|IYsA4-f@!S!mV9q1a}vGqb5G=<|g-oWC4tV8ZC(EC-O*9(DPPtnv%KoG508 z@1+SsJ(2BI4IbdDhhYtvgrueC`4<{6sE}RKtFO#*H%NQ1Fmo)Qxfw+FHBS%(|^q6$R?EnEUe2mU?sErp^>zEx`|$fG>#ajXkRHUK4eUnVrt^`O?^F zsualfTJ8!RuCX6G2|AQD*3LiO8An>$tOq%>RMnLQ5qGKaP`a>!cv8&Y$+8uE)u^q< zP*^l9_d53DR`?BAUpcVs)Vk%qAk30#M9tn3rA}B6l>|kTnY(gN?V;kiKK0@i=EU9I zW{**@*lR5JIPyMsIDxfV=&L2E=>k z*3f7!MfBlgvBpq6+24Tw8{1FSEcG~ipbSM?V5x4O1N+UdTyigNlED2B%A*Q zr`kH~%`itYoM<%^n_biK=jxsXi8_$PY2TophL@d&m$YB+eNPWZ2M30`5;dfAJ$h|u z85QaW(>M`vK5cnP5D6Riu12U1QQ4;vWUE!h7IAoHyL)hPDH?~-aW{T*!Y;XI^hTR$ zY}EUH_WYgz68bvF-*DI6-eO^4!LGLY#NCa{*}P5>oznc>=8p_Yu+5N7`}bLQjYVed zG!|J#b3Q$c~G$sSWo zua5?o68*_f@)>^?uG%nJaIJps6J;?yw6bcaXI;IJbT7Cg7(10zBhNnTHg>ogU%^tR zrMe}U;bslTYpS^_eiFAwMx~@^D!y*LmeX!%rc|NEP-DGfhifXG2}7Gs^XOi7tzeM1 zK^gYeQ;K?_K9u1*)<*636{`k+gX7At7E-}{ZdX?za$?2j^)Xht5*RVj==b(Fj$faJ z7i>3LTkVJJ8y6i)z4xs~W$k5m3B@zH@k64zq5f1{B)@!1Tjg`+r#mo?X(`_aeH{U% z(9h8r$y`_p9mAe2)kD-AbTX0GmCK2@);hNx;x*V(eJRHiic{-eS|#7uP~=1Bfn~TK zy^X>fF-~-CUB)?Qt5{+p0s@PY2s2 zu`MM|t)&LRyjOeGJ0JrhO)EQ)N^a6Lgb31GEPQVLX98wFTLR=6XH~Z_efBMXvB=gT z-Jf}$mKfF5`Sxwv?IA5XvZwfaqWYtDZ-w$A#BhN8pd@;L>)z4o5T+v`6^_f&Awps1 z>@_1U1%oV4il=G}B$?b>3fBlZ3=Zx_uR*qtCEKX4+-w-$KfSK%#O3Q(ZaQ)-lQ)_z zum@b+I1f?@320*)l*LF8R~)2=2iXLKeszf1I}o=i+bp?SUZ6Lu`;}k)+V&e@ye&b$ z3xpgVvN$=s`4g5bEJCT6Hb`br*yVnSNPY*avdW7Ht>Hkj;gEL68CpN&-Fw@8PhU5y z-zlsmzT-i&dAp2#YMH(0FChRCXUq6F#dl?yo$a3$@pHtKc8WC$VV5#Rmt_77?)2oL z*5}M}u|*eD)Fh5{$Ocl&!s2G*D;v8%P55r;S$=nKaA^;k?E?)z)7G45eh~Mt1b40T zmhx-o>h#=xRhdzucPd|y6#CF-v-0kWT|Fu9YXb6bDd!!6 zW@!XsF%CSf0CMUnnu8YsXmdsD5Z#WS^W8zjNBoh-m~W>{70+Ybs=qpy0n`lV;Trd;MU1Xa&;eIRYQr=xXEK{dXcQmuC4z97m=QOtqC(w#krw zhTs*_CS(f&N_UgmQ&FbT;3SC^gyAZ&ON}Sdp-<~t1nd~?wRb;Lb&Ednz1kW)=`5(m zP|(iqsXxc&+J$_S^6``0)53N;ttYH{U?=p>oMH+4o6aLGyKBC5I!7^9W|I!M~M`r!fv9I=QlOJjXz>&8*`}AzSJ5^V9BVhAZK?lPmb5_E2 z%pUKUWHU^Bgg3lA+WJGc;%rupH^+opi``5=ROe66Ulc5b4Wc%iLiSEagy28Kl;maB z#!8A7?@V*fq4=H53t?<{VHpQGy8Ho}6kp&}GN(2vm|Wgv(N55wC7h`XuDSWFZE5{nLSuU3%>y* zTCr`=n(Pevr%Ye745(}w^v5GL6Wtj0kZpBEPvog|$DDFZd3IiQ9W>XQHMkJ!e8JSb zhddzmtz60Hi8e~5E~L<6N=cCn!EHM@HaT=+zSyztD%F$D@*_uN0W07GE-$Q?_fBm` zgYf%`n~j%`&x?dNt3hF2&DGFZshF}P0O?lE-Y3|-YFP*`t?KhXWzOBf8_m;PXoB!{lVCF9r12CIe(TYk=c6m`7 zz71iZusV|?0u!zq81g~Jgr!!YW34df!haHl>ORVKy^Tio3k9M=%Vmj$vD9a2qr~5U zo<^^#Gd1VW^#RUu%M0&4A<8<3JOOh?WE|XS&rzPiXgT3LinQ#wSQ;7Uz(*S~RCs#o zJQeM&Pq1-qQhT$VX1iNp zo~3MF)e0#DHW=`3x9RCDpN3Y({SIQ(?O1&m4~ag=3Jf^uUi0p@Vk9ZDaTqyLHQHti;xVGLngZXTl2`wl+(@Y_XI0~;^%zT{R4h`~9%wskx*8%Kh#8_| zMVSpwcER6(ZJYxb1IE*VniUPRQMB3~4M6KdV~BaiA;y3uI7Ix=%CJ`p$b1FkpZlUj z5YZX6(iDBvI<3W$YFcabF*Ax)?6nPZ1yr$QBFoW?Za=|nFx-(+$}6k7q<)hk>v4fP znQbT+E1ToK!aKQ#H^dWTZ?n>-98DaEu9oS1q>15N3`zY4vVMxai9#t>t`TRM786BN zf=0Cxwlw?$wt3s_UWK_D3B27Mbcepx)@oL2Gqm%IzmjCt?_>9J_nU=dJdN_{y|J_( zHqzo{F~rs98anU!;h8r4hMAId%B<7jtf1<@Web{Oz-j_gGS#kPc-W zmsCY`b~dkx738fVz3xga1q;Fc`dTzP8vL%>_LgeyLR2-!i*27oY{K<46TH&r11{Wq zPM=Osc{}`hO&7HbKDAPys&*#w>!@q^bH z{^cQth-L^$m4dG%GMa^pe+ESC>u{gUs;CJP1EBOp{P38Xm}lKSI9{ybO5Yg&TJQnn zbJHV5@YuUWwR2_h&#hz0eQHYaE_UbOEg<@lb6Dh(MTtZ=_D%nf^})dx46Ymf zBuzik*DFDD{oeIihWiLF{0RPCSp$Mh_B}6rbplH%w;q-EQ>;1W_yR4-PNgMh?eS8I zMB13vfy@vH5NM-_&tNV0&RNU(@zTb0{W8|rmo$p?{pKC}_kRg|Jxx4rGiDX%{6YP} zv`_-_e(UETuj(yu?z2$`i2ZGJ{vpI|`V%y7wqKHn_lW!a<&H_J8GA z{Ti-R_3=Jr?pV>)zX9qu;CA?i3Y|U{O{NNk8iOmQFpmm+_yx@wBzaS6w}Gk2vEX){ z)>d7l+P^-15LR!mU9(|~1CEa7V9Bt9mL%SA7F#~JF4hatW;A|i(hDo=+2ZIQUj{$c zNm#*p6|W)7i7^>uZX6X{F3?0#3{j%|23#Pzh}?&H+Z)EOyULv|{nL%BH3VUztFG*D zj1aC)ACw;Lh-bM&UIbSZVj6T9IGf9;kL#fXt{v3qwmX3^zhK%H^5LZsFv%E+Zts{{ zfewWK-}8dn{*@r8OpX(7Dv|LLV~c1*~j zoPe)})63%jX;Qv$m>xgWRXIilbkm`d(ZhF)^jZ$Gg%|jACn!>(cDwR}IX6{USNhkb z!KH0BrYIWNBt}`qlcs7~bR0(n(>Uu1#vVJEo?S-yFd)Chrec+fJ6X9IN)FG@@#TCq zH{UNe{O^3pqWS%%kh|ZVJIOcVr?H13AIe7uz6UI`GzK2Bw&Qw!yjXtKrCa-`+wjYNC~Q^%YJL5rea)Ld zZHy&kng<2DQmhvSD_%;2aEh%G1%t^XBugT^x@u~1lXG1cfsvj^UM&Tl{v=^|`pfj1 zK0o?!mf_ylV$6%?_Hrg?u)I5!PK$y9i@+i_-4HUzjPMJ83889<{O)5gA3zs)8rC zn!!}#4NUDYR(_w=^GJO5YTNx*8#r!;l;Iydb>>9lym7A3&*OS7ykqP!dt9>Sh;Z1T zy!4tLU0(2cZH@jgTur-wK_}gpGo-aJ7Tw;$lfrM9%SY4JX84D-Z?B~`uK&0uc=y*q z{M+j}Z@agbYJUag5G_RRK_KTq9=+qfOqs&Om7*8B4 z-qo|N8#!9TLUjiu)39KEiHs#ZT=Ng4gq+vtDN=(FDCV~YhLH1!p&ulX zH%o*}Kl8)17dzEPb9lRDu#x zAWObiT9&E#ysv!Nyy9#4Gc4TTouqxlNBD27t}c=?Z5gI1DFY>%w$W*iU(#mLCsk~# z=gl)wL-2s_V&biq<)_p>`QC?)Sxdk9&^I~N{Owq(1(E1umuCBl7XBE)O6#6(Gh{N} z7;B8_Z-BHcPZ~SEV3``P00{r|hWIz&XI{K~OCvjyDHb{FTZ$^TiIem?+ar%BCN24S7la-1kzm}Ph?++0(5L(2JK=AD?XreBQxYeU+%oP;obGcJLyt=(cd+Sv+@7m7MV2|G;13>F&vU5bhj9xo4LBT+RR zw){AZdi3(DHuZX_vwOsOSri~GYtu64y0KVS>3mK}@Twob=6;7QU2ePSgc@;P_Vfj? zm40a~Vq@h(Mt z-^d7d(Ih}~nnZGXD>UU~TN)Pp^y~Gdu5;jK9fYaW!iD1&_tu$ehCQBHch~!-Gg4N@ zk|f5LH1qYV;zS0*bOf>-adZ@6$}wDychj8q!~B~Mf(c1+>1v3G_$&_TT?_Z2>diHU z)s?>isR28V$E8l6G)M(e=EQ?2;$BZZuH9P*SD>`{vQ*tK<@W+UIO!$)D(JaOL!JN3 z0J$;Yd3w|PvjvrzW2L5M&B@OsXoI0M_-cEClZLoRRyC)T*4kP|RutqBHhFG0nPnfs zp(|N?MdRB8cMJU*ucQ9)qpkMJb5f$&LPssXZxpt9Vk5gS+ zcTK$l5?;@?=H!vUjHFITF-^q?p@uuzkRoKrBv*Wzj?u%M=EO<1sX$k+V#<5=Pn-M> zV~Q)i)vS&*IVTLz11!wIOuK3ybEG>jc(b(TH(X_m#BV5I^)Neb`ucoQtyRxOu*T(H zXPJo7%OEr&K^LD^8FavWS>C`XRAfl>U>blNf;PJv|GvW)SQ+m|q&`1#`rX@hkBc`>e}QBhRU!LR=nTte zj%?{HQQPR6Ve<&BeqK0>MiIc49 zzwwz2Tl-xd)!^%+D166=%#Y;5BBi`YA#ciuAIZn&s}}E}p1Y;KUw%fYsqsa;Ns0pL zq`YAG-pE|fQ_qU$!=i=vPyO(g4RguF_O?kikA(XTn7@D9v7_*|V+R5f5*i)>4i*{) z`fbM!1SAvy9U23Tj8zl{lUzmB*r}0}O-9;f!9E|aT7#2qbkB>Vc__Hpv(?T0OKy3Snob{ zdHSE1grAQpHc>|1@dCIZpZbI1V)g7r-5pJqt{_0BwwiRjBAY2E#Kl(gQISUOeL74C zhMya_%b88&I&o&ktt-_wXunk8Qf5Qw(T4S_2QE#L6UW5h`AEjNqH{~+K%Lg14R;eq z5gD$(_%TFa$bT!X_tEt;brOEI#TDo%YlN3whvV0_x?=ORPxF;{@R^5UQCIV#@=F&4 zcc|b$WRVwdyeqSEVrknuxeXQ@T}|u7A&97vuP8J9TqnXg=a@6!M0wf#-UtsRNu-&ZjAAKz3^5niVm-#)AAdEa}5m zhW#lgt(%{6H({znr10v95bIcB7wdw}EXTF5Ejs~kqbdk$(*&vH0DIr;=Qvpb9qOl6 z*~W=$rwHve&Hz z;AN^0`w$oR<=*P?ZU2#>%ENC!{e-V+>_=DAlI1*Wu>Xn$2h<*sEx)+Y3-mdChEV^N){=j~$x_cX7#*|G`Rqe8P+)dr zW-RcnN0wGGBt`wBLrxCvEmG9O=0dbx(eVSC=x7%K`0+JA^0D4)&J5~^JXq(Hh=ekU z+FLxH*^KN7-uwoPwEbp;HtstFmKlKKX23BtU%8DHsC-3g{EPBe;Z?C2 zCes9a$x5CFP$8{er&b1H{%=60iG;xd44M?rtLy-Ziz>Z4T0m6}t|r?AZ>x?iFu%tt znZZiX>>R3QDKVD$9rx&4^zx9IR>ZAA){AKcS{`pD;M^B ze$FxDHvoRUl$_L0u+{ErqN2CPjt<&d@8MO}^@Na9F)+DjHQV3# z)wB?IioOunYYx;nnRWn=JZZE!2(D3N-%)zD$|euR1w-xtsZ)_e11B9zH?_Yiy%FPy zTjDmWK8E^U&G%93Sc->@5R&3HW67skFd>fYe?DwsN z*}hX!twFlM^qQC_M)s~x)|jQi>DkGVoxz65U>&3hMSD`GvRej-(!a<697+k+o@fC) z7V!36T+0R=s`PQ)4#lpCP?g8Ve(zl#6ukCHcxu!e(o%z1JH;frs?jOyZ7mX`3Ei_s zrV-IiOr1mGH9m)Zklu{#5~!K7$LD`HpE6NWJtHxcXO114_0jL#jvvOPG$uAwFY5Ee z2u!}Qp^_w%m5bAQM?0;L`KHaTfZXo9xusTW2BD-KgM#9kmE)u|FneV=I!odu7nnPZ zT-2y0rn3(m?UY+XvDrm3ODNu&n*wIIXlLaXhP$dH6>VAiDUr8cd>$dlm_|$}(&9D~ zwDg>NP!TNoGm!wpf}JJpw%aOm@|?#S7uNh>d6U9soxf#Vk6zm}e* z+gDkpf>zxb#oH~a!Ea~ct5P#eU1<|5~Xe#t_Y>i>@ z<;RavT^?M5(a&|<7uy*vLC(^O3zJoc?c%dUi_?{fQ4Q)Vb`qc4xUMFu{RMBKTF#0q zB^SIpCyOAVOd~dQ=W6s8Fne>d#uV_6U3A22?1=`ndBMho;u)C`G}(bioTjCXj|k4? z4eB6N9#ieIJi#N@*~<<3q?0P?$d&L1?!>sB^`}v#h6L*{>Wy2dG zp6_*@PH^VQoDW3cba1xmL-Mx_7dpf&KDIihDp_I2Mk9qpci$t(Nfx&>@&f}R?GnB1 zb@F814|`ddDoaI-pnF*2r@S|ZZ9t2Th82e&ZiuoQRG9CQbqiK-2{%%k^QI;rGF%zk z3Dqtd168>5BQFOHAG9`I+S)`&@I_yKR25bxj0LPUaUxfv34$BYIcgAb`DNw?v)~gKo9rF;l7YHh*l(^E*k^ zigc~6zA9k$=!A}_Y_gnv$a8)`a9%?XNi% zVh0dZ`jT5+$ZG=ydComqfimHd%qcw3of~$xh#V~9ojGhNAP*YOL2Wr*Usl_7!P7Ly}@~tu<`2=oIwXZj&`wP7@IL>GrXHT2Ik$ z0Ah)es60+_eDkt+4}#4-R-s^v$q#n&pXtU<}M zJ{c^25_{v~FQ0oNDU`b&2R3N1T}?_{&?T>QDf5zSdNC)GqYVnaEMv$q*cGbWhQj$( zLxr33$JolbCSLW(Zxo+EpV#S~!x7SMc!#sRD(suqbNOEy*puB$+&DxtcgP++;@LjU z*gCljl?cJ5`9Ef(z40?K@arNC${xY9+Buee`M*}UG3q<|wB8TE0NnJ6?A#8q$;|2G zq0gXg>7~?U&(5R$IUdX;k!p?Xr0hQ@KUF_!y%X;0FO@e-pwSzFsBqUD8)_d6CG#?Z z=0mOt&u)rDLMh@zvn5(!<|q&zIjKQt*q+NKF;yR2vN3Kq7eLy=Oj!atBXF zpK*Da?X-+iIy&3ej*ZC2ESQ7T_GcN6E2R%l7?H=VqLkFRl+=g4EJ^sxqZ2Uo_9G6Q zWOf|DROZ+0{DC7vvxIyfsjOF114$)_S~3GBVTD_(@gP#Y1^;6u;@13PJ&NA|8>MF( zCvw@q$w~9(SVL(9Td9bbY4`T%%lSj$l+`@Z>)7{px!|77Yh*$k9H)&p7nL_d zUB%haqkKJnO&wA?uRl_?Og+o2fjMRDYWqa7V`%t5>%cQ~cLQNB$mb>@Lt|bYDOL4WhiibkwS{+PnKBWzC zvv2F#rM}m?sly0x3y`&&rAT)_wBY^_A064>Q&i0O_JJOCTw9sbtwD9KaAGS(8CZZrPP^&Id(N9rZJ5GHCT4Q`WOQ_l20paR`KkCdq2x% z$laT|T&~fqBVXJ$Q(V=XxINiOGYqiS(Ql{IIUloWN`jy@KKR`7bAq5ulR_ z83UdhT63KO|1rnL=1;&gOZqSt&!u>6VE+&n8%sETp1nj%>0C{U+#ocshmZW(jPuJ- zq%0VHCq+uI8X*xEz@>jzU;mtX+ke)U_cr(RH2mH2ik>;_c=H~5Hl}J$%8~=Dkf-Ar zn%HH=eOlDt80e9)M0&as#kL2u6#CSP{|55rZw=3x-eM@NXa>9Rsy%x|0SA?ERy9+l zr=yII)PjW@J{9_i;N&@dOOa(JVt7Ft=^6oN+-MG+hgB==!Gu-VkJ=2hsf?Kr2aFG+ z#tT%Y?ub2$6(Hxp5u}lG>@V71Uufc#0+;njPiC4b93xs`faz>a+10e$w3D$#d+IK1 z38+_&6vS`9F&17n0p~L}dIhJD4%#tTP_jXd{^EPh@OKF@qsY77RXcw^)U>dlu~|Y3SgsPvCP%FXBG&=D7PuP1t|HiknbXAF%3uio>yGlq&`m5f zt6)c6Iy>u*O3NHg6U*hCi(AxKgCHj6PFJxLlCve#_t6YUm{4YNSWI5Y`Y@*l* z27C<%aMS|fa_uXopHZTUe2=31S0kwL-dYo{mWS`Yu?8-syszM5Aqnt=J;so`%eOvKb+A~61ptft+AQn~prq z!~>!xYm*_gc7_{Ox%5EsL2XWf{981-E=9ur$;VpjHvdNW^K4Pn&q_u;8stftaBAA-QWgv00s!d|y5UJCy)O|@-0ZXJ=vRG8(iiPAJL z#tQQZL9@lz%ZS!i7$_s`h}4;K4qLKL@vXCeJrqT*z}8wd(k{xzSaHN=D!yea+}IIb z*#(IW4+ABW1Wej{y{9x7iM<<}b`q75QE~^A+E)s(emtheS4)hPss);eEog28!Ecf6 zRB5WnL-le0SAAlb^Erl$l-awnvLd^8q;6S+(qTe(bLsggauwTCzQ&5G(ravq9Z|8n zDJUu`naGmYavcp5UrJ5+`%Ly!I>D_@89CaqCEwSsx{_|`=_w32bSq-wY+{=s9Qas$ z9>p4C4vWZro<%C6#3L|R+}8-dF04a3(RfXg=I>A9$Bac!`4C1)58>(XGP^iSh9cF# zlSY3*mdAMfmC1!Fz6$sDJ+E%Z(mTitYa$Ou;CpTiiI@_*W0mf~I6{t?;rr~!iruHF zIFg?F_0=||IZb9BlA{p@R9k{b(^!~Pb!}wasLu?|G{0E3>9BISIUM-2mIv$j)~fEa zQVljn-ZeZ*rog;?f7bv|MJJD@tgIXr&<@=)P3(=;!)G3fGEVlJ@VJF3Iq~3IpXHq= zrmUWx-jF^U)m zLYYHquX!S2FH!L*kV5QOTVH5Q)&J@1x`UePzHR6bL^=o|)JO?PQ>scQ5Kwvv9fF}F zO_~%zdI?IE7J3IEp$P~mp-K~!8Yxl*MWmx5_`>&l-^_dOkN3x!JDItY+?;do-g~XJ z?>g$wH{IRaZ>7ffJ?tph{Gx3PX*JSCHF}lB{SfU>lu@1aydW+1j)7d6_b2m#vzdg* zGkL04O{l$-^~?Tb8ef(KL1bg<&N3qvA*-9o>0DXei$zn6!wMf%ltRoHAU=92eM4~u zJ3{I{@_9j@t(D6}fr3Qi3i`Kmvs8`8uc1>3H|udsKO>IQU#S(Zwk`b1T~e~tjyC)< z=G?x)X9JBM7`M7<I?{$Z-Ohl#yq zBOlO%eux=HBv=IOxz}E&u5^8%S_PYY3`C$niCx|92Be6?O~8V0eha*RRiIm|rH9JT zj9WoVQM+`r#X-YoP|!(GLs{e&N!GobhaL*zoTbEha51)GpVsUFq z<*K~7Ps@bE-sqgA>8(&nEqX0ACmOv{>aE!`v0}*5BsB-9XO1nS2Q7=z#SSdv`ye_4 z!&brd3<>LgD8uGLS`eq4`hXX5Vd{Ws9T3#yo{K>~le8Xd+-%cfLPSvg3TI5PxmGK3 zn_8A1M+2>HVqJKWu5c~%HVUeghc27phT8>c3QoraHSH_h^lJ55Yc1z`gsC*z^3;=` zJA+m1h3;Qy?%hulp8s@7KWwC8UL%%r$CEkqr6^Zhb+5Vmf!C&<46o+$e&cfocp(+O zaemMk;e)E}+5v2en@3J$|J(v)#i;Y_+QNULsjLr$l@fiML5+j`uRKCAlw-Hc)Hm-= ziNgWFc@}L<8U0GI({6*<9cI^!hvGL!^%|!(Fz69xUwA!Tz7Qwcw{<$a<1k}aW+VO0 zpEm{ihq(tMi+^53OHRrYox|tK+J?^AK7B@(#DjC@NJA*R(?aT~ z{Pog`e{1)|;oGdJPPdIARRM~UDA{kE)BxHv_vn?jEt?CgSsFD&9$=79>9~0fyVuT6 z3rUPl3E>=c*z^`RQ(zt9I$=d8%5J3xoB&tkBk$g>9Hn4TWhXb;?|aeeY+v%FZU)Nn zv@ECX6}@}vm@!0~N%u9@K)f=zo*91=2dru0gJ2>6kCIA@&A|7>+y@e2>V%3Z|6ZBF zQr-!Fb-MTEd=sH?Hq#v+$Hk(bsm(75o4p+|(>&;hL%%E`CaNvjbHv|$RvN%PP1&Z# z=7`fp31PwVZ4P6hosQ96t%PH|yal+GU#D&mOJ+RC^a%6xnQPr6>8^y~6dG)U*y8j? zY%H*b29gJ$JhZ+Mb#_D)0Ip3$>|Qsj(HqH|5$A}w$-cU9x6{gYY6~ZplcYfGFY@tq zkC99sRRP?KPIDhOZkx^0JC~1NwGFiIIwmeM4m_QlXxu4Edv*(194*zD!*%^k!dfUg z&=F;tLj&0bfSI8DNlj8fDpwhNHq40^AgBgc1RJv0DLFI%pX{u2SZI#WLg&I zph%dApXGtG2V0?BVkIwO|e%tvV5beikt|8ZN(@G^mhn zXTT`+f=g5)>b2}7gK|P;Fv_nEC)PJhvD!!=zQ5X{y{{AJmR3i{Af@w)4y!}8Ryx9o zOw$*>!Aq#2s8bwcg3Cc>^WS*yaehG3vvkD`l)oNYVe!k7W%Vd*+PD7;@Sa;*eAM~? zS*H+R(V6Yo&!go=#BfCV@aK)7mGj{+%o|P{gL;jlrPxX?lY+EwEHlZi@Vivg6@#q8 z3W3qKsnwS7YYR=Fbi@_i@`fBF@@^5)t03==Cob+L9atgUQ9nz5X2*3j$UB%JsA=T~!G+|L4R@Wdxp=II4D- zRtC%|^LvlIYA**okT%bH`1PPyqj2x5r$E$&2v1hK)XU^XOuVvXOkD$ak@%<|ZTf$% z`=~s72SB`VdrComxcUdyFCq)>BSPU3AXedZGMtw7)DN+^5YEq?aJ%!H7OR=`mW{a~ zM6ZGumFF*K)qarCXxUGNQ+B#6+Ju-a7!S&^g+?$BFY|Iv0Cg z+$INNPqI(V=20d)T zVbpO0kCfy0?riG)CWcqLOECL9)5dV%jwx6zHS0|LhEYbU-sGFA!$bf(oBtMeO6!1L z?ELtP#DZvFifq7+p&#sr=nF3!*p&~8Z9Id+#s6vqe0n zIVf|DsvK7}FQuFQy}pHrBZ=9GUc~6#c58X5pROwh5g-Z`2foWyzVDBw3uf>!dJHdG z48m7$2^Jg1A(kQ9_%+EHD-C;OiP~fvVdl4xmY!YqN4HmCA>WTAL$_p_ zV${{%Z2^#bDUz0eFcfZv_3*2Gmb$_-aKd2z*5y5JBl}D5 znS$P$t;OvlP@FGwHDx*LH6&LZV26!BV7Q_Ori}$zP&QU%*NRYR6R3-TtCAO5`SZ}W=tjmY(dl9N zFJRjm+<(U_#}56zDv8mfBzHW8SOppTSY1b3F7$op{HId7`hFR{(87K#{_E(AR(rbd z#E1CF*avp} zd6$r|^vSncwhpqi^6#jcS6)pZi3FLL=TweQZ+acpr#$`BtCgzvbxU_iv{+&|lrdm6 zsi7>txVYUf6Me?}X`eJ^MszfM;60l5DYZa8=O>oBg6)cpp^@0Tsi0HfetD`v0Ir3W zpVt(uBPKfjfV)@SB9jX1dXN}aL+8;fw0Vg^H{hqLilI$`#+eQwl2e*nZWVt4vAH7> z<~JW#Er5CKeu-8ri%k9}e1(zukVgl^Oinm{_bYW2p~7x0e2Dy!%XUx0U5LPyt~IC% zJt@ZhDD^&+wbO88$#N-OEk7!JvHV!EB3|;SwA5cZ^D0`u3IU;^>XiYxfk0N&Bz;H-U|5x$n1yuR(mTfIU{)MxX8)Lz!-3!%? z!tTzEvl!1TDpi7J3@NoN??>Oyw$}$`Z3^k=MleAcT)$fX2s6R4q^Pj}juJxCAi7gNW}tkVOpGyY$o4mF4zj^dp8wjH09c# z1*Mf~a3jLdOEij>Z{d|P>#Fy>l#@tSp&BKWM(z4T5@ZSmlD zrecI~*m&Jy)MXr+SRVthU#wS<_z1Ix$;ff~P|BhYoCTiiyHp!a?4bA}j}s4X{UUUZ zUHDH<*k!vMh%EjaVWPzZa-ROaUERRtu@jZu)v&1UiZI{wBukG^u$xg3%sX`z7^1R@ zp!cV(qyA8^vad)bXr=SU#r@|;s}zI%-|%J^`>GlXVp1}DheCFzd}UiJ2X-M9|BV8L zVvAENmgcnCJ1kjOBnDCg)+h(dMj#%hG0H!XR(Smns;^rf5q13fywFOm{7Rn&G0ZV8 zBWljYVl_4OwFx2bG~1bfneatY@fulwrrs+Dha!u%x*dh2{3!)Qu>Wr+w+2vB>fK{e zwXdivONqW{+Qz{F36Id4{f{!;6Z|p65-P>_e(fd7J<+T|rN|KUy(>r2ZQqSYHN78Q z(VGFXc9jfZCIqTn<~G?JJxzjLq0%Q&|0`5X*na2!XMz6>2rkL_cPej1JgNAyC&Npg zB#rH8+vIPP75npRtVTtf&6IRFDjS$Gq2a}#e1G7ghge(@)8XfqHT8b2t#UfU23DRj z!uyDha$9kIc!05`>_c&V&7)syf0D{y3JRQx&MnE|vvx*VwG?C;h4Ja*frSC!eR#}YK*G}vs{4U2*;5e9lPJ_KKQ?u= zcRT8N0fCmB%1vcuw#9xL5hni^V5nzC zRO+u(;I5h$G^K9#B3S)e$yxs?`-!1Vcg=FIo zel&=6P5(EC>vAyA*?9VdcW{)p-5mw`>hzq0b}=TU3kXa_Qn&G!g^GgTI_o>sGbKqB zxoP!FF7!e}go%U_nLVdeV|C^sD^Ls?_*{D>!JgvfXKlkAU>wLKwb`8d{%#_&N0({P zolS|1mAsY`WRkc-(=}kIt(mMAJvR&nAhXzKqBB#?RQ=|NpiUm@2Z!e#`o^GZslQYW zA73%xhv`EQO%J~-QY0k5Sz`JNNQn=&w|HQq*MdiWicY=YouzSG5_q;RScKyrrB$v;s>1op1c>F5aGrMTDp>fV?1+62^!C9bwX>R3(*rBb_a{8 z?4p=R7OkNOQo3l_KZ8A)rBVv^!z2VTP4DQXtzwh`0IaUchqAKvBnL%V^T~CHBth*m z0@Cgu^%;4Ia#tMh%HUnJPGMR;GWaWNk6}6Cg2$u-7%L(v7M`p=*!QK?fbQ_qQJqKq zB$HYu0F>m4Sz~OsHz5m|ku{T2vM<+6$+yOd;`jjMH%@_raDMGpmwC;4SA>cBSgf2q^&g}R}w<+&#qX@BPG1@GUMR~D>}YU{SgL*ur@vE&P{1LBoBku zBw3OU+K|P^XTT!Z8m|2ivhkaNeBn^MtKdT3n5(BUy=ok<>vAaOT| zVY~OrUL0mdcR4Yl-efRYQ|WGGv1W|k0S%Xw7@*}%(b|o;%p|zO1*q`tR6odJ>6#xS zLQEk%+<;YbwWlqC(uDGPGQ{IbayX_tzS!X}0HVU1#1O!!{WDNWJED8Lo;hv#H?nO( z6_h_8mZV*kC{|PQmi{+Ip0E-W?eV3`3<$9ehWqWc2y(c^5I~e>0Pv(Q>oa#hOPiPXMN1Tbr}FBLMmJQN?A%DXvTKGL1O%h^ z)QnZ#VqS8mB2PMhp}yogJWN3ln(95~L~Sq*q5WT*0k6&ar0s^YRqfR&Br-0zNzCWx zQFW~e?OnW))qakvcr7*cIyF$Z62aRQoh)uO$%@z6rApjir<$Ru8rF#&t;o;twxm60 z;~d_4@>3fT(>mzTQgi#c_^3ZIZMerUC`-nte(&OK3Q7}iaYK4HG6?E<{Qx85iA=M| z@H?neX6!^hxYYdPBtb@JXGo=Yy53o7`nf3SOJ)SaL zcbH(~S^B+wQ!|#NE`VK0JSX`+xK}zUOT7cTmfVv3a@g-Y^lPJ&8O$>x3bAlwI*K0T z^0I^LR*=0(YS$;v8y}bl|0BJC7@zpx4^uD>m z5<6Uq1@`Hn$Lm!~oTD7l&o$0ndrPZO_7AC*4=An18ZBNR{UvPpoC8Qq+#$KRz7eO) z*BJq3+twkP9@nxHPU9lIh~8_1*qOJutLM_unkTqTvfz3R5g!(-jPT|%2PE&%qQnjh z0DvHA1Ij5kj~sGhg{-9JYGl(98kp10w|CFA4C%S$aX}t`lT&@fSpp&oSMd}%R zaQ>toy}!@#HBT)PumIzXIL9$uVRdkf#s}>$2H?$?f;ZwsPKAuNI6q^!PCyN7us#OW z1~$a>Ac1|tqozFjki-g=xo}?km}m99!(5cQQ)b-m3RT8(QT1JNZs=8e(OU?WP|qJz znM{M6v`{qJK*o^rse%cmH#Txk*G@mh!9Ij!+E$HdooA=RB(oG);4tpC??5umee&&b zzbdJxtDtuTz3oS9p(wG?;49lXW8SUwKR&dX6FEa$2(FO_QQn-YU~Ckv0*{5wNwnP8 ziBVLI>1vToEt|fT_^|jf?+3Ot7_dez9kvR=-P!R^|0d(=6ENT6cvNGSrX}YjgGWfp zR&b3M%+BuBv-AKcBA9sr=Ct+~=c4Ra<~{S0yidAE2rukc%l}kFN)EMOC(FwZFnI^@ z#APg1YOjIjCirUbx|XI1Hq@Sj!z4OhKSA6AxEtDEN?{KhHwoO1(kuaU1HY# za3Kmfz818o(}?-}p?S`xL`B@Z`m1yDVJWLJFmvIsiP)|P zi=t~D!uQ9WkZCi?&kQR!l$x`5Ws{21(6{~HajS=`cGCZfl1xuf$ZwgrleN1fH)cOm!+{S|Oe{65@ ck7pzHAL~P+U!pPqUikl Date: Tue, 20 Oct 2026 16:28:45 -0700 Subject: [PATCH 2/3] fix(library): drop shut-down Pipedream Workflows and correct pricing in n8n alternatives --- .../library/n8n-alternatives/index.mdx | 149 ++++++++---------- .../public/library/n8n-alternatives/cover.jpg | Bin 28061 -> 28083 bytes 2 files changed, 68 insertions(+), 81 deletions(-) diff --git a/apps/sim/content/library/n8n-alternatives/index.mdx b/apps/sim/content/library/n8n-alternatives/index.mdx index ec074c46c49..9b38fbabd69 100644 --- a/apps/sim/content/library/n8n-alternatives/index.mdx +++ b/apps/sim/content/library/n8n-alternatives/index.mdx @@ -1,14 +1,14 @@ --- slug: n8n-alternatives -title: '13 Best n8n Alternatives and Competitors for AI Agents in 2026' -description: 'The 13 best n8n alternatives and competitors in 2026 for AI agent workflows, compared on pricing, license, and hosting: Sim, Dify, Activepieces, Make, Zapier, and more.' -seoTitle: 'n8n Alternatives: 13 Best n8n Competitors in 2026' -seoDescription: 'The 13 best n8n alternatives and competitors for 2026, compared on pricing, free plans, license, and self-hosting: Sim, Dify, Activepieces, Make, Zapier.' +title: '12 Best n8n Alternatives and Competitors for AI Agents in 2026' +description: 'The 12 best n8n alternatives and competitors in 2026 for AI agent workflows, compared on pricing, license, and hosting: Sim, Dify, Activepieces, Make, Zapier, and more.' +seoTitle: 'n8n Alternatives: 12 Best n8n Competitors in 2026' +seoDescription: 'The 12 best n8n alternatives and competitors for 2026, compared on pricing, free plans, license, and self-hosting: Sim, Dify, Activepieces, Make, Zapier.' date: 2026-07-13 updated: 2026-10-20 authors: - andrew -readingTime: 25 +readingTime: 17 tags: [n8n Alternatives, Workflow Automation, AI Agents, Sim] ogImage: /library/n8n-alternatives/cover.jpg draft: false @@ -88,7 +88,7 @@ faq: - q: "Which n8n alternative is best for nontechnical users?" a: "Zapier is often the simplest choice for basic trigger-and-action automation, while Sim fits mixed teams building AI agents visually or through Chat." - q: "Which n8n alternative is best for developers?" - a: "LangGraph suits developers who want code-level control over stateful agents, while Pipedream suits hosted API automation with code steps." + a: "LangGraph suits developers who want code-level control over stateful agents, while CrewAI suits Python teams designing role-based multi-agent systems." - q: "Which n8n alternative is best for enterprise teams?" a: "Sim suits enterprise teams that need AI agent building plus deployment choice, Workato suits governed enterprise integration, and Microsoft Power Automate suits organizations standardized on Microsoft." - q: "Which n8n alternative is best for multi agent workflows?" @@ -98,22 +98,22 @@ faq: - q: "Is Dify better than n8n?" a: "Dify is better when the main requirement is an LLM application with retrieval, datasets, prompts, and agent behavior, while n8n is better for broader integration automation." - q: "Which n8n alternative has the most integrations?" - a: "Zapier lists the largest catalog at 9,000+ apps, followed by Make at 3,500+, while Sim's 273 integrations focus on orchestrating AI agents with tools and APIs rather than maximizing connector count." + a: "Zapier lists 9,000+ apps and Make 3,500+, and Workato's site cites 14,000+ apps, while Sim's 270+ integrations focus on orchestrating AI agents with tools and APIs rather than maximizing connector count." - q: "Which n8n alternative is cheapest?" a: "None is universally cheapest because Sim, n8n, Zapier, Make, Dify, and the others bill against different units, and self-hosting shifts cost toward infrastructure and operations." --- -The best n8n alternatives in 2026 are Sim for AI agent workflows, Dify for LLM applications, Activepieces for MIT-licensed self-hosting, Make and Zapier for managed SaaS automation, and LangGraph or CrewAI for code-first agents. This guide is published by Sim, and Sim is one of the 13 n8n competitors covered, so each entry, including Sim, lists real limitations and links its sources. +The best n8n alternatives in 2026 are Sim for AI agent workflows, Dify for LLM applications, Activepieces for MIT-licensed self-hosting, Make and Zapier for managed SaaS automation, and LangGraph or CrewAI for code-first agents. This guide is published by Sim, and Sim is one of the 12 n8n competitors covered, so each entry, including Sim, lists real limitations and links its sources. -Sim, the open-source AI workspace for building, deploying, and managing AI agents, ranks first on this page's AI agent rubric. n8n remains a strong choice for technical workflow automation. The difference is focus: n8n is broad automation with AI steps inside it, while Sim puts building, deploying, and managing agents at the center, visually, conversationally, or with code. +Sim, the open-source AI workspace for building, deploying, and managing AI agents, is a strong fit when your n8n workflows are turning into AI agent workflows. n8n remains a strong choice for technical workflow automation. The difference is focus: n8n is broad automation with AI steps inside it, while Sim puts building, deploying, and managing agents at the center, visually, conversationally, or with code. > **Choose n8n when** your workflows are mostly deterministic app-to-app automation, your team already runs a reliable n8n estate, and the [Sustainable Use License](https://docs.n8n.io/privacy-and-security/sustainable-use-license/) fits your use. > -> **Choose Sim when** the AI agent is the center of the system, you want an [Apache 2.0 core](https://github.com/simstudioai/sim/blob/main/LICENSE) you can self-host or a managed cloud, and you need model choice, human approval, and run logs in one workspace. +> **Choose Sim when** the AI agent is the center of the system, you want an [Apache 2.0 core](https://github.com/simstudioai/sim/blob/main/LICENSE) you can self-host or a managed cloud, and you want agents, knowledge bases, tables, and run logs in one workspace. > -> **Choose Make or Zapier when** you want managed SaaS automation with the largest connector catalogs and no servers. +> **Choose Make or Zapier when** you want managed SaaS automation with large connector catalogs and no servers. -For a feature-by-feature breakdown of the two products, see [Sim vs n8n](https://www.sim.ai/comparisons/n8n). One former option is missing on purpose: Flowise is not listed because [its maintainers set August 31, 2026 as its end of life](https://flowiseai.com/sunset). If you are moving off it, see [Flowise alternatives](https://www.sim.ai/library/best-flowise-alternatives-2026). +For a feature-by-feature breakdown of the two products, see [Sim vs n8n](https://www.sim.ai/comparisons/n8n). One former option is missing on purpose: Flowise is not listed because [its maintainers set August 31, 2026 as its end of life](https://flowiseai.com/sunset). If you are moving off it, see [Flowise alternatives](https://www.sim.ai/library/best-flowise-alternatives-2026). Pipedream Workflows is also not listed: Pipedream says [Workflows shuts down on March 31, 2027](https://pipedream.com/docs/workflows) and no longer accepts signups or subscriptions. See [Pipedream alternatives](https://www.sim.ai/library/best-pipedream-alternatives-2026). ## What should you look for in an n8n alternative? @@ -121,7 +121,7 @@ Look at the operating requirements of the whole AI agent workflow, not at integr - **Self-hosting overhead.** Running n8n yourself means provisioning compute and a database, applying security and version updates, and maintaining backups, TLS certificates, and uptime monitoring. - **Execution-based pricing.** [n8n Cloud](https://n8n.io/pricing/) prices plans by monthly workflow executions "regardless of complexity", so high-frequency triggers can push you into a larger plan. -- **Agent configuration.** n8n supports [AI agents](https://docs.n8n.io/integrations/builtin/cluster-nodes/root-nodes/n8n-nodes-langchain.agent/tools-agent/), memory, and MCP, but advanced agents can take several connected nodes and explicit state management. +- **Agent configuration.** n8n supports [AI agents](https://docs.n8n.io/integrations/builtin/cluster-nodes/root-nodes/n8n-nodes-langchain.agent/tools-agent/), memory, and MCP (Model Context Protocol, an open standard that lets agents call external tools and data sources), but advanced agents can take several connected nodes and explicit state management. Use these criteria to compare the alternatives below: @@ -134,9 +134,9 @@ Use these criteria to compare the alternatives below: - **License:** Is the software OSI-approved open source, source-available, or proprietary? - **Operational fit:** Is it built for AI agent development, general business automation, or code-first orchestration? -## What are the 13 best n8n alternatives in 2026? +## What are the 12 best n8n alternatives in 2026? -The ranked list is Sim, Dify, Activepieces, LangGraph, Make, CrewAI, Zapier, Microsoft Power Automate, Pipedream, Botpress, Workato, Gumloop, and Lindy. n8n is the baseline, not one of the 13. Prices below were checked on vendor pages on October 20, 2026. +The 12 are Sim, Dify, Activepieces, LangGraph, Make, CrewAI, Zapier, Microsoft Power Automate, Botpress, Workato, Gumloop, and Lindy. n8n is the baseline, not one of the 12. Prices below were checked on vendor pages on October 20, 2026. ### 1. Sim @@ -144,11 +144,11 @@ Sim, the open-source AI workspace for building, deploying, and managing AI agent **Best for:** Teams building AI agent workflows that need multi-model orchestration, memory, human approval, and real-time collaboration. -**Pricing:** The Free plan includes 1,000 one-time credits (worth $5 on Sim Cloud). Pro is $25 per month, Max is $100 per month, and Enterprise is custom, all on [credit-based billing](https://www.sim.ai/pricing). [Workspace BYOK keys work on every Sim Cloud plan](https://docs.sim.ai/platform/costs#bring-your-own-key-byok). Self-hosting the core carries no license fee. +**Pricing:** The Free plan includes 1,000 one-time credits (worth $5 on Sim Cloud). Pro is $25 per user per month, Max is $100 per user per month, and Enterprise is custom, all on [credit-based billing](https://www.sim.ai/pricing). [Workspace BYOK keys work on every Sim Cloud plan](https://docs.sim.ai/platform/costs#bring-your-own-key-byok). Self-hosting the core carries no license fee. **Strengths:** -- **273 integrations and multi-model support:** Connect OpenAI, Anthropic, Google, Groq, Mistral, xAI, and local models through Ollama or vLLM, plus MCP servers for external tools. +- **270+ integrations and multi-model support:** Connect OpenAI, Anthropic, Google, Groq, Mistral, xAI, and local models through Ollama or vLLM, plus MCP servers for external tools. - **Three ways to build:** Build in the visual workflow builder, describe what you want to Sim in Chat, or work with code. - **Managed or self-hosted:** Use Sim Cloud, or [self-host](https://docs.sim.ai/platform/self-hosting) with Docker Compose or Kubernetes. Self-hosted deployments can use Ollama, vLLM, LM Studio, or LiteLLM without Sim Enterprise. - **Approvals and checks:** The [Human in the Loop block](https://docs.sim.ai/workflows/blocks/human-in-the-loop) pauses a run for submitted form input, and the [Guardrails block](https://docs.sim.ai/workflows/blocks/guardrails) reports passed or failed for a downstream Condition to route. @@ -159,7 +159,7 @@ Sim, the open-source AI workspace for building, deploying, and managing AI agent ### 2. Dify -Dify is a strong n8n alternative when the main job is building LLM applications with prompts, retrieval, datasets, and agent behavior. Compared with Sim, Dify centers on LLM apps and knowledge retrieval, while Sim covers broader agent workflows across 273 integrations. +Dify is a strong n8n alternative when the main job is building LLM applications with prompts, retrieval, datasets, and agent behavior. Compared with Sim, Dify centers on LLM apps and knowledge retrieval, while Sim covers broader agent workflows across 270+ integrations. **Best for:** Teams centered on LLM applications and retrieval that want managed or self-hosted deployment. @@ -195,7 +195,7 @@ Activepieces is a strong pick for teams that want visual trigger-and-action auto ### 4. LangGraph -LangGraph is a strong n8n alternative for software teams that want to define stateful agent execution in code. Compared with Sim, LangGraph gives engineers finer control but no visual workspace for mixed teams. +LangGraph is a strong n8n alternative for software teams that want to define stateful agent execution in code. Compared with Sim, LangGraph gives engineers finer control, but the open-source framework has no shared visual builder for mixed teams. **Best for:** Developers who want explicit control over agent state, nodes, transitions, and persistence. @@ -207,21 +207,21 @@ LangGraph is a strong n8n alternative for software teams that want to define sta - **Developer-managed deployment:** The framework runs anywhere the team controls. - **Commercial operations option:** LangSmith adds hosted deployment, tracing, and evaluation. -**Limitations:** LangGraph requires software engineering skills and does not offer a shared visual builder, so mixed technical teams need extra interfaces and operational tooling. +**Limitations:** LangGraph requires software engineering skills, and the open-source framework has no shared visual builder, so mixed technical teams need extra interfaces and operational tooling. **Sources:** [LangGraph license](https://github.com/langchain-ai/langgraph/blob/main/LICENSE), [LangSmith pricing](https://www.langchain.com/pricing), [Sim vs LangChain](https://www.sim.ai/comparisons/langchain). -### 5. Make +### 5. Make (formerly Integromat) Make is a strong choice for teams that want managed visual automation with detailed control over deterministic scenarios. Compared with Sim, Make has a far larger app catalog, while Sim offers deeper agent orchestration and a self-hosting option. **Best for:** Teams that want managed visual automation with detailed inspection of routes, filters, and intermediate values. -**Pricing:** [Make's pricing page](https://www.make.com/en/pricing) lists a Free plan with 1,000 credits a month and paid plans from $9 per month (Core) at 10,000 credits, followed by Pro and Teams. Each module action counts as one credit, and [some AI features use credits based on tokens](https://help.make.com/credits). +**Pricing:** [Make's pricing page](https://www.make.com/en/pricing) lists a Free plan with 1,000 credits a month and paid plans from $9 per month billed annually (Core) at 10,000 credits, followed by Pro and Teams. Each module action counts as one credit, and [some AI features use credits based on tokens](https://help.make.com/credits). **Strengths:** -- **Visual execution inspection:** Routers, filters, error handlers, and intermediate values are visible in the scenario builder, which helps when debugging branching flows. +- **Visual execution inspection:** Routers, filters, error handlers, and intermediate values are visible in the scenario builder, which can be easier to follow than n8n's node-level execution data when debugging a branching workflow. - **Data transformation:** Built-in functions for parsing, mapping, and reformatting data between apps. - **3,500+ apps:** Make lists 3,500+ apps plus HTTP and webhook modules for custom connections. @@ -231,11 +231,11 @@ Make is a strong choice for teams that want managed visual automation with detai ### 6. CrewAI -CrewAI is a strong n8n alternative for Python developers designing systems around agents, tasks, crews, and flows. Compared with Sim, CrewAI expresses multi-agent behavior in code, while Sim lets mixed teams build it visually. +CrewAI is a strong n8n alternative for Python developers designing systems around agents, tasks, crews, and flows. Compared with Sim, CrewAI is framework-first, with a visual Studio on its hosted platform, while Sim lets mixed teams build, deploy, and manage agents in one workspace. -**Best for:** Developer-led projects that represent multi-agent behavior in code. +**Best for:** Developer-led projects that represent multi-agent behavior in code, with an optional visual editor on the hosted platform. -**Pricing:** The framework is [MIT-licensed](https://github.com/crewAIInc/crewAI/blob/main/LICENSE). The hosted platform has a [free Basic plan with 50 workflow executions a month and a custom-priced Enterprise plan](https://crewai.com/pricing). Teams running the framework themselves pay for their own infrastructure and model usage. +**Pricing:** The framework is [MIT-licensed](https://github.com/crewAIInc/crewAI/blob/main/LICENSE). The hosted platform has a [free Basic plan with Studio (visual editor) and 50 workflow executions a month, and a custom-priced Enterprise plan](https://crewai.com/pricing). Teams running the framework themselves pay for their own infrastructure and model usage. **Strengths:** @@ -243,21 +243,21 @@ CrewAI is a strong n8n alternative for Python developers designing systems aroun - **Framework flexibility:** Agent behavior can live inside a larger Python application. - **Commercial platform option:** Managed execution and enterprise governance are available separately. -**Limitations:** CrewAI is a weaker fit for mixed teams that expect to build and inspect workflows mainly in a visual builder. +**Limitations:** CrewAI's depth is in its Python framework, so mixed teams that expect to build and inspect everything visually may find Studio narrower than a full visual workspace. **Sources:** [CrewAI pricing](https://crewai.com/pricing), [CrewAI license](https://github.com/crewAIInc/crewAI/blob/main/LICENSE), [Sim vs CrewAI](https://www.sim.ai/comparisons/crewai). ### 7. Zapier -Zapier is a strong pick for non-technical teams that prioritize fast setup and the largest managed integration catalog. Compared with Sim, Zapier connects more apps, while Sim gives more control over multi-step agent behavior and can be self-hosted. +Zapier is a strong pick for non-technical teams that prioritize fast setup and a very large managed integration catalog. Compared with Sim, Zapier connects more apps, while Sim gives more control over multi-step agent behavior and can be self-hosted. -**Best for:** Non-technical teams that need the widest catalog and the fastest path to a first working automation. +**Best for:** Non-technical teams that need a broad app catalog and a fast path to a first working automation. -**Pricing:** [Zapier](https://zapier.com/pricing) has a Free plan with 100 tasks per month, Professional starting from $19.99 per month, Team starting from $69 per month, and custom Enterprise pricing. Higher task tiers cost more. +**Pricing:** [Zapier](https://zapier.com/pricing) has a Free plan with 100 tasks per month, Professional from $19.99 per month billed annually ($29.99 billed monthly), Team from $69 per month billed annually ($103.50 billed monthly), and custom Enterprise pricing. Higher task tiers cost more. **Strengths:** -- **Largest catalog:** Zapier lists [9,000+ apps](https://zapier.com/), useful for niche or legacy applications. +- **Large catalog:** Zapier lists [9,000+ apps](https://zapier.com/), useful for niche or legacy applications. - **Linear setup:** The trigger-action builder keeps simple automations simple. - **AI features:** Zapier Agents, Zapier MCP, and AI fields add model steps to existing Zaps. @@ -283,26 +283,7 @@ Microsoft Power Automate is the natural pick for organizations standardized on M **Sources:** [Power Automate pricing](https://www.microsoft.com/en-us/power-platform/products/power-automate/pricing), [Sim vs Power Automate](https://www.sim.ai/comparisons/power-automate). -### 9. Pipedream - -Pipedream is a strong fit for developers who want code-capable API workflows on managed infrastructure. Compared with Sim, Pipedream is code-first and centered on integrations, while Sim is centered on building and running agents. - -**Best for:** Developers who want code-level control over automation without managing servers. - -**Pricing:** [Pipedream](https://pipedream.com/pricing) is free to build and test. Startup is $99 per month billed annually or $150 per month billed monthly, with 10,000 usage credits and 100 users included; Business is custom. - -**Strengths:** - -- **[Code steps](https://pipedream.com/docs/workflows/building-workflows/code):** Write and test code inside workflow steps. -- **Managed runtime:** Pipedream runs the infrastructure, scaling, and server maintenance. -- **Observability:** Logs, error tracking, and execution history for debugging. -- **Connectors:** 3,000+ connectors and 10,000+ prebuilt tools and triggers. - -**Limitations:** Non-technical teammates cannot easily build or change workflows alone, and production use requires a paid plan because the Free tier covers development only. - -**Sources:** [Pipedream pricing](https://pipedream.com/pricing), [Sim vs Pipedream](https://www.sim.ai/comparisons/pipedream). - -### 10. Botpress +### 9. Botpress Botpress is a strong pick for teams building conversational agents for support and sales across chat and voice. Compared with Sim, Botpress specializes in conversations, while Sim handles back-office and data workflows as well as chat agents. @@ -320,9 +301,9 @@ Botpress is a strong pick for teams building conversational agents for support a **Sources:** [Botpress pricing](https://botpress.com/pricing). -### 11. Workato +### 10. Workato -Workato fits large organizations that need governed enterprise integration and contractual support. Compared with Sim, Workato brings enterprise connector depth and procurement-ready contracts, while Sim offers an open-source core and self-hosting. +Workato fits large organizations that need governed enterprise integration and contractual support. Compared with Sim, Workato brings enterprise connector depth (its site cites [14,000+ apps](https://www.workato.com/free)) and procurement-ready contracts, while Sim offers an open-source core and self-hosting. **Best for:** Enterprise teams that need SLAs, compliance documentation, and governance controls. @@ -338,11 +319,11 @@ Workato fits large organizations that need governed enterprise integration and c **Sources:** [Workato billing docs](https://docs.workato.com/en/pricing), [Workato self-service plans](https://docs.workato.com/en/pricing/self-service/self-service), [Sim vs Workato](https://www.sim.ai/comparisons/workato). -### 12. Gumloop +### 11. Gumloop Gumloop fits non-developers assembling hosted, AI-powered business processes visually. Compared with Sim, Gumloop is hosted only and narrower on traditional connectors, while Sim adds self-hosting and Apache 2.0 licensing. -**Best for:** Non-developer teams building LLM-powered workflows in a visual builder. +**Best for:** Non-developer teams building hosted AI agents; Gumloop now labels its older workflow builder as Legacy on its pricing page. **Pricing:** [Gumloop](https://www.gumloop.com/pricing) Pro starts at $37 per month after a 14-day free trial and includes 20,000 credits (7,400 plus 12,600 bonus). Credits are indexed at $0.005 each, and Enterprise is custom. @@ -356,13 +337,13 @@ Gumloop fits non-developers assembling hosted, AI-powered business processes vis **Sources:** [Gumloop pricing](https://www.gumloop.com/pricing), [Sim vs Gumloop](https://www.sim.ai/comparisons/gumloop). -### 13. Lindy +### 12. Lindy Lindy fits teams that want ready-made agents for defined email, meeting, and sales tasks. Compared with Sim, Lindy is quicker to start for those tasks, while Sim is more configurable for workflows that do not fit a template. **Best for:** Less technical teams that want agents for email triage, meeting scheduling, and sales outreach with minimal setup. -**Pricing:** [Lindy](https://www.lindy.ai/pricing) starts new users with $50 in free credits that last 7 days, then the Team plan starts at $49.99 per user per month with 5,000 credits a month, with larger credit packs available. +**Pricing:** [Lindy](https://www.lindy.ai/pricing) starts new users with $50 in free credits that last 7 days, then paid usage starts at $29.99 per user per month for 3,000 credits, with larger credit tiers such as 5,000 credits for $49.99. Lindy's [billing docs](https://docs.lindy.ai/teammate/lindy-teammate-billing) describe seat-based Plus, Pro, and Max plans instead. **Strengths:** @@ -376,43 +357,50 @@ Lindy fits teams that want ready-made agents for defined email, meeting, and sal ## How do these n8n alternatives compare? -The scores use a 100-point rubric built for AI agent workflows, not general popularity: AI agent depth (30), deployment control (25), extensibility and integrations (20), governance and collaboration (15), and ease of use (10). Each criterion is rated one to five and scaled to its weight; ease of use breaks ties. The scores answer one question, which alternative suits AI agent workflows, and are not a verdict on overall product quality. - -| # | Tool | Best fit | License and hosting | Entry paid price (Oct 2026) | Score | -| --- | --- | --- | --- | --- | ---: | -| 1 | Sim | Visual AI agent workflows | Apache 2.0 core; cloud or self-hosted | Pro $25/mo | 95 | -| 2 | Dify | LLM apps and retrieval | Modified Apache 2.0; cloud or self-hosted | $59/workspace/mo | 77 | -| 3 | Activepieces | Open-source trigger-action automation | MIT core; cloud or self-hosted | $20/mo | 76 | -| 4 | LangGraph | Stateful agents in code | MIT framework; self-managed or LangSmith | LangSmith Plus $39/seat/mo | 71 | -| 5 | Make | Managed visual SaaS automation | Proprietary; cloud only | Core $9/mo | 70 | -| 6 | CrewAI | Multi-agent systems in code | MIT framework; hosted platform | Enterprise custom | 68 | -| 7 | Zapier | Simple SaaS automation | Proprietary; cloud only | $19.99/mo | 65 | -| 8 | Power Automate | Microsoft-centric organizations | Proprietary; cloud plus desktop | $15/user/mo | 65 | -| 9 | Pipedream | API automation with code | Proprietary; cloud only | $99/mo annual | 65 | -| 10 | Botpress | Chat and voice agents | Proprietary; managed | $150/mo annual | 63 | -| 11 | Workato | Governed enterprise integration | Proprietary; managed | $75/mo | 58 | -| 12 | Gumloop | No-code LLM workflows | Proprietary; cloud only | $37/mo | 55 | -| 13 | Lindy | Template-led business agents | Proprietary; cloud only | $49.99/user/mo | 53 | - -Zapier ranks above Power Automate and Pipedream in their three-way tie on ease of use, and Power Automate ranks above Pipedream on the same tie breaker. +The list is ordered for AI agent workflows, set by the publisher; it is not a verdict on overall product quality. + +| # | Tool | Best fit | License and hosting | Entry paid price (Oct 2026) | +| --- | --- | --- | --- | --- | +| 1 | Sim | Visual AI agent workflows | Apache 2.0 core; cloud or self-hosted | Pro $25/user/mo | +| 2 | Dify | LLM apps and retrieval | Modified Apache 2.0; cloud or self-hosted | $59/workspace/mo | +| 3 | Activepieces | Open-source trigger-action automation | MIT core; cloud or self-hosted | $20/mo | +| 4 | LangGraph | Stateful agents in code | MIT framework; self-managed or LangSmith | LangSmith Plus $39/seat/mo | +| 5 | Make | Managed visual SaaS automation | Proprietary; cloud only | Core $9/mo billed annually | +| 6 | CrewAI | Multi-agent systems in code | MIT framework; hosted platform | Enterprise custom | +| 7 | Zapier | Simple SaaS automation | Proprietary; cloud only | $19.99/mo billed annually | +| 8 | Power Automate | Microsoft-centric organizations | Proprietary; cloud plus desktop | $15/user/mo | +| 9 | Botpress | Chat and voice agents | Proprietary; managed | $150/mo billed annually | +| 10 | Workato | Governed enterprise integration | Proprietary; managed | $75/mo | +| 11 | Gumloop | Hosted AI agents for non-developers | Proprietary; cloud only | $37/mo | +| 12 | Lindy | Template-led business agents | Proprietary; cloud only | $29.99/user/mo | ## How do n8n and Sim compare on licensing and pricing? -n8n is source-available but not open source, while Sim's core is OSI-approved open source under Apache 2.0. n8n states that it "uses the Sustainable Use License and n8n Enterprise License", which it describes as fair-code. Under the [license text](https://github.com/n8n-io/n8n/blob/master/LICENSE.md), you "may use or modify the software only for your own internal business purposes or for non-commercial or personal use", and may distribute it only "free of charge for non-commercial purposes". Files with `.ee.` in their name need an n8n Enterprise License. Agencies, consultancies, and SaaS companies should get legal advice before offering n8n functionality to customers. For the clause-by-clause view, see [Apache 2.0 vs fair-code](https://www.sim.ai/library/apache-2-0-vs-fair-code). +n8n is source-available but not open source, while Sim's core is OSI-approved open source under Apache 2.0. n8n states that it "uses the Sustainable Use License and n8n Enterprise License", which it describes as fair-code. Under the [license text](https://github.com/n8n-io/n8n/blob/master/LICENSE.md), you "may use or modify the software only for your own internal business purposes or for non-commercial or personal use", and may distribute it only "free of charge for non-commercial purposes". Files with `.ee.` in their name or `.ee` in their directory name need an n8n Enterprise License. Agencies, consultancies, and SaaS companies should get legal advice before offering n8n functionality to customers. For the clause-by-clause view, see [Apache 2.0 vs fair-code](https://www.sim.ai/library/apache-2-0-vs-fair-code). [Sim's core is licensed under Apache 2.0](https://github.com/simstudioai/sim/blob/main/LICENSE), which anyone can self-host, modify, and redistribute. Code in `apps/sim/ee` is under the separate [Sim Enterprise License](https://github.com/simstudioai/sim/blob/main/apps/sim/ee/LICENSE): production use requires an active Sim Enterprise subscription, and modification and redistribution are not permitted. Activepieces follows a similar split, with an MIT core and commercially licensed enterprise features. +Before choosing any alternative, ask these licensing questions: + +1. Can you use it in production without a commercial agreement? +2. Can you modify the source code? +3. Can you redistribute modified or unmodified versions? +4. Can you offer a hosted version to customers? +5. Are enterprise features under a different license from the core? +6. Do self-hosting rights change when the software is customer-facing? +7. Which entity and license version govern the code you deploy? + On price, [n8n's pricing page](https://n8n.io/pricing/) says "All plans include unlimited users & workflows and every integration" and bills on monthly executions. On October 20, 2026 it listed, in euros and billed annually: | n8n plan | Price | Executions | | --- | --- | --- | | Starter | €20/mo | 2,500 per month | | Pro | €50/mo | 10,000 per month | -| Business | €667/mo | 40,000 per month | +| Business (self-hosted only) | €667/mo | 40,000 per month | | Enterprise | Contact sales | Custom | | Community Edition | Free, self-hosted | Your infrastructure | -Sim bills in credits instead of executions: Free (1,000 one-time credits), Pro $25 per month, Max $100 per month, and Enterprise, as listed on [Sim's pricing page](https://www.sim.ai/pricing). Because the two meter different units, compare them by running the same workflow at your expected volume. Self-hosting either one is not automatically cheaper: count servers, database hosting, security patches, upgrades, monitoring, and staff time. +Sim bills in credits instead of executions: Free (1,000 one-time credits), Pro $25 per user per month, Max $100 per user per month, and Enterprise, as listed on [Sim's pricing page](https://www.sim.ai/pricing). Because the two meter different units, compare them by running the same workflow at your expected volume. Self-hosting either one is not automatically cheaper: count servers, database hosting, security patches, upgrades, monitoring, and staff time. | Question | Sim | n8n | | --- | --- | --- | @@ -431,9 +419,8 @@ Choose by the dominant workload and hosting model, not by whether a product has - **Choose Activepieces if** you want trigger-action automation under an MIT license you can self-host. - **Choose LangGraph or CrewAI if** developers want to own agent behavior in code. - **Choose Make if** you want managed visual automation with detailed scenario debugging. -- **Choose Zapier if** you want the fastest managed setup across the largest app catalog. +- **Choose Zapier if** you want a fast managed setup across a very large app catalog. - **Choose Power Automate if** the organization runs on Microsoft 365 and Azure. -- **Choose Pipedream if** API automation and code steps dominate. - **Choose Botpress, Workato, Gumloop, or Lindy if** you need conversational agents, governed enterprise integration, no-code LLM workflows, or template-led business agents respectively. - **Stay with n8n if** current workflows are reliable, the license fits your use, and migration would not add enough AI agent benefit to justify its cost. diff --git a/apps/sim/public/library/n8n-alternatives/cover.jpg b/apps/sim/public/library/n8n-alternatives/cover.jpg index af40712b9c3232d05a4cb77e45c6d7d7405314a6..f8402e9a19753c3f2d0c67a5da98ce029d8a103b 100644 GIT binary patch literal 28083 zcmeFYWmH_vwl>ym^s);00D%4b1qTObvKfCvBqfP{j8fB^jSf`x;Ifro;8OU3$+@qd5eWd(o?^_m9_3hgzbzU!aa z{_O`C5g=jCznx3MNMfQ8W}>WY3INTzVGX8JHa5Rn-x9OnLdkUyzF+m!B_v=$KCnf6 zrqS0Wam&OB`1h)qmE5mpM?xJ=K*~yO?gFT5RFnm2CwAmC+;WZQDld#H*e0r9eQ*sw zR$9aUp5F|XW1O36Cm(+=_wQBnv0t!Bvc;#6fiR1K9sq%#pwV|upO8pEC*kFoL|v<@ zON~7vxIXi~+{$braI~DUdR&O<->n2aXe3LILhDU1$(t*&vgKgO59wrA4ms23u(6)- zfL#`6AhsD-s~RzOIt)x7gLJ=CFZ{kz#DUvQ+~?@ zI;l3K5tUXm_EfH|W7Aol7u)PWrbkH&g-y=S?r0>p%bn@xycPo4@k1Rmu;=xOO*%<8 z+5zkA@}?9C&O=)N=W87Hja7Dl_UsYCJ%PeTRNncs`$3TU_s5`=sn^7}3j#M$Bh>dY zwhh_d_aIEW{@c&}zbE|5opJ^p@{6Hb_pxxmY7viXXo9!5Xp!2N+=B;$13><*_c;DE zBEwL^fh(>PMa((h_4wSfi%MP-J<;W2aY4PzZj#TT0`vR1ll^nwVW&F_n+8ht`q{+7 z2Vx^M{q+omlo!ApK_6euuc(EuG7D&B6k?u(`P3X&Au&K-J-2)A)K5GYkRoIyL)hbn z25_7|)Uo2~U46#!#n)Yn#IU47g3xiF6L_c8wYa-gWl!lX+g#bg(N$%Ca$xFP|J+H! zc_uW&o{Q-&jETGsIg!?5aj{Lz%ns5|;bNOga)Mj+)(zbV=xlCkrymujvfsz@`)OT* zza!WT^cf)=>u=@`@v^ykikCTj+DnbKW5KhkP3qYT_!s@qMP{W6+0(mkk>I&@SI=6k z6-{&j@*khLO~3BB(*BUcNMNDozQ|WNpD#F5C280b`z3K5)0DqcgZIVs+^aWNme~mo zgo8%lHvr1Zy#k|I(Nr>90G4B}qtpx`^(4_-pAlR$ zz~`L-rautGC!(i~>rUm9)YazD=qzIeceqti+^|R=Ma0Ne2c>ZLM7RB`VpMU39IY4+ ze2episq$Rz@(4!>GMi8xRX$^6qEr8lc}~wS?ct!6`=g^itK|+FS}nVT!fLj0R{b8n zhdvQLB|SnZ>;}Q8Eo5aDExc{uGATCiKAj=8f&J|lO-}}B-t6pW@B>o$8oI%kt~D$* z@SwK>*;QD#lBgrDq%Q4@G~>i`CD`@$|Eqch~RfiO9PgRKeLTs$A2kl9ifjWX^Amqbt(6793IOu2bda9ENXO-&=|zW_*$i!XR4W2>&Z zxE-Rc>H(yndwZ3l%zOD!Ie9ei(2Zin-AOzRz(^Y(5fmxgj z(p8SIY-oR>-B!l$+FV#TaX8Mk>;5HG1Kbc2GlNwJ4007e9cquD=?h94s|kHHWvRow zCJ$|DO``7R2=I9h`Oa71{R7ZtQmPNp;{9m8g1$a$$zc6e@~0FxzNYurOgG{gPfS4~ z++=tK%KMnjDC#bLSJTrk04IDWxMI7b;6tPTqz=J$Bbo|=Hbf4n@Ap4D@?OU|RA({a z@5{ZjZ+lx8U_1JgAIq*!U33gJfz%5jhL$Mr{`}kcIB* zb@1HP)2b})4U4z3>19u)Ek$MQ5asSBN!(xrLmuB`9%A;7UgXv<%D_$gF=^jFDpLA* zd=sNT93mdbS;BCO`3g_+&w6KK+i0%}>RQVvGg}C=DlufrmIosEAHRE(<(pTPbQ^#E z91)29c^?b9Ltl{?^B5@|KDdKSwViT&okG2Z&J_9pcXC>{kH=FYL;Te)(|k?MqVQO^ z;hZ>va+VHcttT!N`+F0i6iF!UpE4Q$lPaLu&G~x#JEp%CpU(fbdTwZi%+>IpP&*R-RY=`e4CW-Okvayl5%^o}-N9y~1yq_JS70{WN$C?XiJkhox%c|D=Zh5~TYfvp-GtU!wn;2pES8ZKHpr8RM6K?s|PDhqQma zdy*Wj%IaB9^sonrQxx=+o?x0o3cxbee_*4|VPlvXSIy`d^zsgPee=J)pp+ZIBgdB? zE_8iXO6TFaZv(94%+RKjb+v0zkjd)ReXp0}woF27kjT}QqT4n3OOTJVzGUH`6H-MK z&DH7XPr+EPJz?DS+iP1UYSkx=2YW+EtqES()2IwXOlB}3rt<4FfJ!U7T8oXNby_%L}%`Uey%Gza)&h|Cyu-1n^;nk+XY-lbZ{d~+ZRjzR=t2_EYN-E=!gd8(lB9|fj zwjKW;F1!#0bnRdSYeZ*N%CeZay|a*_NDOT$?Y+BnU)h4XjuOMF zc%=~2QRoIGr{AVjCZ(44&6l#~L!_ps!1Jv>6M<>(-1PS5ju!y;&mup;CnSrE7O9NL z9tHdaY}D+cG$+74SYclE-a3mLr^?S|QAW8x^L_r=2a4z#Iu!@|zFSE*p7L?Fvuxxb z3)N*E@#fb1ncv)w!y)35Ed&Xz|3fPP0L@#t@X05H-7|=*$xNi5qUPF3bRmV+jO^co z)~=U59DH3Oghgfua)Xj|S}C`3n%ZQuHh$ewa{9~sCaK0xIUM)*L*25reiw4jx4LzE z$AIL24Wam;3w4*#qKP*>+#x*jbz+UAYr$n-cAIGLpnJkTir|Mre5RZT@n?sJwL^(qD=;vf_4^9Ljq+tyA=|m^G6Kp;s|CU+CIL^80vCWqoUcGiA`0loxfS#FJ;m8zVy%M#==%L z`qKVQ5(n&V#UVyGc`$ZJ;>c(HMcA48ICK{ocYx&!KycYzSv8Uj?lEO~uf7}+q{Vml z0+5$Wm#T<8Zz$E+lws_BFdK1B{>Z~zN*yNI=u?HfjXP(H%1ooV?B_n2UfFo;4R;Y) zWSPBuzx?AacK;9a2)&c(t8wE02rkrrSB-=dVJ;DKhXCC0r>mVAS3NBV=$q-9DM##g zo2O>z1>%2C#dR)Gss1UW52#IY37i-`Zt$J=>(reR3Dy_*_&hl=@d9Y`7yd7Dz5oi^ zRPbs-a<6p-T)(9{2~T}pdjZ(p{pj$A&T3Rm_wEkJV5wNXQont25Pe2>J;nSZA|UYm z>+#N_W1J$dt8=GglB?WOZL53oNy<%@rzl>QpPI@HwAYbUQ;B~G@{tGo)i&r{OX#Fx zp-y2vMmfO`@a~R7dSvO2&3<|>wddQYltcFd$kbB>yH<#L6C3Nuk2Svl?vrXkK>P_u zqfwzX|KJIyC=0&uAUY4=BiO%+s4CN!Q%N^lA;Fqh(Ydr@c}Yu&-63i5wmu<7?1OLn z)-s6y47o;NFAtS}U+@?d9dt1{Kzo{EC5Jywy|rj#n)_T(c%t(MHgTZYM_{T(+h5LX zl}(e6Cc&LWL~y)9(^g|XJ~l|oy?&*GwzH^xMZt+S&i5EJZM!!zPGg@zRDdWz_hF)W zWNlA<$U=bl*0R# zv2d|UNQUz#m@xVZeawk(EFp0}*L&^We2?LH&4HTkoeEYW`c8$PJ^hEg4i(Fv&`v9D6n_WeS$5V#BJjP4kugfLX=THjyD(&(A)-&OK5_MLr$&42A(A4<$#g zaj3b><4!>+VyeO7a&CwCF)#mWCP_vh%L(@_d$K}MI^XXtuw8uxh*jrqp;k?S(FMUM zaiD4KgqUg|amlFW9Nk8jYB#DxAMNVk*F0o1l39EpOO1$FFh>5bUl;7S7VUQ5> zkeKQ+nm>Qj_G;v=f;x5vGKT*B{7FNSX{eLI1!Dq~k(X~nLZpdf>OQZMc7wr4wdG*O ze9L|p!1$ubLI@z{@VN(pBOL{TBdst1fO)T1|cA;RJ`S=JIDJ1jfnb+9ltX zv>GYAvD&cB7Gyt$h=VKrs{17Iuan${;FF^-x&(Y@SG;nw3Y5n#u*#ETr(bZV z8^tixTG=(1r#f44DVH1;?XBQjyCP>xp^}ARX4+Y){#FZuZyube-~;20O;LPUZuKzu zV=X6L&oROY>*anoTAFD=%HO;z`mWv@Xkof)tj$N8;J%=w#BOBAj&CBKx2~%fhm!an zQXDg+K6f5rJa5^K`<5ex9cUqRQc$Hw&S=ViJB3tvi}XzBaWmuc+BYtKVv^IMTvv2< zBLdL+*wKuMh7{7z_mv){iqyydC|5JL7BvxUaWgN(n<^cZ2Zb)PC?WTlgub&B_ul2_ zvNDk)>eYhfV>IMSD6(DYC@xFJyu~aorDEr^bNx_gt70fo9mgmg)!0BoZyZAl%_x|v zh}bg!6&-d}6c7+nF7mr%{LPuUJ1U*RO{lF9&&l0*FzMBq<&xbfcAWFg!E3ILF(bAZjm zW@56_!gzRsGO9>`_^92=9HF*NKV$m~kAwLw2TqH7_)~Vef75Xb;YCJa_UXu(ZJ6&s zX4e*bA~pU%{m>Fwp3^ePeaL9RK;YNl3>Kw2ihV#CDlT6V>%?DTEM`>m#B6-wGg)qO zam^D75I?F;{K_axZ>L!b#Ea0+!NngSsi>8mBjL~9Z1mTE|F)dV$(feo4zILyIG?O< zE8E!XD`D>XIVVN-yL}#?T|;pZy?O6_=1jtM`%BoCoRWXkY0Twff}_9KZ6O7r|9T!5 zHJ8F3OCOLNZfty%lTG_ie3O)z!6f^ef7^Qa$}KL3t22&R*Gua%~|tjNX+gY zPuqnrfP-V_+Bxv^_*U=8yoA;OJE$7Z>pkBNXg}U1J_ZOH&{6*iD(<4LdBDz=om8mY zw-l+Z+^avX&*X75om0)iNR`~G73OL|0OAkMs_Ajz)OCK{W|C1!%W=DVwc4#c$y)UR zX%9)tbK~EQHGVr)oqm&7SRyoAtwwK!l`|k{mtIrPrSTc>pLIQulHKlRt3bY1#% zZ`T?y(CW2w(`so7ObdtTY3J3!N<%#g3iwR)K34=KGYv26tE-;r+&^w*?cIudajYvT_q5*Dnd=l76*Una~?Htw>o zg9)V;igc7n)RKXo=NO0h6zl{aOnZtJcYadM1T@7aO+!CwXgPMj$bDjY!dNU|$(y@g z6B-0gO!{*baUaF&X!wdn?ePsbDYw5P53qaRG9}43!Oc|Gi1xb1<1p$Xf(wghl-;D> z=J3qS7l7ws=L7#**$w>*pw_YKYLO<`RrUqIW}^9i(WCM*dBcR?>}z}zUcvukX0+r_ zlAaYVT<7!~l$~??c;`gqHIgQo5y%?6W?GAPEM)LB_dMRTAK0UBu5hEoU8Z5oMDTXj zg*q0On|z!HbNu1G4IkDk|JFNsc4d&Twf7pG2y{t_;@9d=KD0+CSSBq{RPiahCQTJ_ z`FtR%q0e>B?d8&-Z;f)eAw~98_^mLjbi3=J@Z8yf%}5?DhnLJ&@O_`zNZWa%1*d+j zhz6JaD=ms#o2Y2uZIlC6V5l>LkGs8I!uuI1vqb4$ANBc!7<|g9Gl>c;Y;S?&_EZz? zl?EfdE_!frt`u`J$iLTiWxSvue_2;^;pE76XH*yQeNB;*#B*5t{xoje1I1nTM}w<_ z$PFe01jl#!+(HHm6HBK|*AnN#VeNaIK5P4UBi>N>iO#2P)^2i}ZhRJMNiEM%N(T** zqkKvP?ayZGyY``n7WhlF=|jw13!mHNxOQ6I2{3_)`N20fzxFqiI7bJ}Vlg6h7329p zUe!laEs0tPoa2EQzopa{nU2dTX8o9w8IocdS#nvtbRZe@0(bU$!MfUdyekjU*dc5r z3BE0}({-Q;Sl8B{a=gKAk%tzW!F9U8QGDy%XhdUk2Io7q#;OLV9BV9xS>N9AE1OdL zjV6ZTHO>dN1Y?&SjG4-PI$520`I2KY$eR_qa2G@LKmvm|1L(-21 zzsThgXz`ad1E(oz-LGu|CJYSt-TN6I+3TpNyZH2!3tWlBzPd&x6=Xvav_I~y_iKb& zDN@w}Agd(NPAu6hRNORP)mhOKep0fg?4Qfx$-75M zo?h0Tw_3^PrFIW?Ez3bJw-b?}CuM%kRxD z`h_FEOwiOt0pSPOnsUSsJiFJX?YbFvZI5x6Qar*e7s}-D?JG+7L#kl>@0K%0631Ct zGYkAeWkQ69W!VPIXx!7WYf~o(vpN~K@m0EUx6|mJ;f{2e>9;1~V0E8slW7-wG3|ZI zq5XeDgbqPE`D?dE)XDvij#6{EJ=P_zq`wg-vp)W)bTpzB!$GGflELtvaFXi}YT6vlfVabQ zOylpX6SYV=Rx)=T%2D)SGyFk}SUfukHhgvg>)Z(_LWle)HtxK-DMhUqNTVv=L?L8H zM!~qtm10WfGu0ZgM+6!<3cdiY&!~4O zI@n|8Ep+;kw%~-_l)7IFf*0m|kREJXoY#2)3~u%t${gG!9q8&*#ebkbE#9D}POGg@ z)L+oBvw+(wAK)fXH%rCR6+)R; zKqLD-e#0I=hRl>6Jkw{4(DkivvnNrED9kWZ^{VsTzJGjMQPiKbKiq#%$>lx!#M4H| zV$N#RabQ*XQNB8bg7;_ruiZKaCLD?0^PT8&;OwS~w%9d-HqEi@vo(ix@GVbUN5I-QEr)8` zkd!4>K+jVt8I@qThWqo|LZiD^lPMIwJuZV+AX(@gkH$#D_gzd`_hRI6rNK+XzehS) zz$iOU+`-3M&-R5nv@6u^1m6FH9=OCKIn{WbIV5~9KYC~6t#nnvq z@=kDoEL4_|BaJ^kZamo&Rn%Hn*rF?cSqv8pJE|#bEmPePkoT2G;6;KFpV{YCM^Lmm zO==CCK+|Zx>)=x_y^H_tRqkP7oO9vC=Lj)wpMlS`j_Wc7n5D77H%4>aBNt8QmJ6bLJ9PrD_ ztt4DPqkI#tN*}Yi?b0GClhhN+s{GrN2uo@ug>G$_NlTdF%N2s{(DcWg#w_T$q7=+w zNPfKnrdeNvQOb{K+nw_l11?bqBZb0w6Sx9s9-) z60tZN@VvlOcGbifJ)r_~0l{1&kfwF@&XaGbY-@D9LA2@UNVV7iLf5zyroaY0g-c~< z<;k|7y`54!T+l`xuc+AjDX&AbnOJ3_WacOpjUnW87-dWx}bld8QVx-|jQz zEvF}aEwVx~;wr4siaxD|EDrVFxhx$xLo|O`+0H$fLbM0p*#FqQZPp6Pd^*jVH5eEs zPTjAx#~co(Eg*IES!h73 zHRA1oj^qZICHlxqns(4X_-fs zSE-JrS94r*4ZG7k<@Cnu4Q_y81H1V4W~rSLYV_&j$P{rT_l~78=@?iGr&TPGgJFXJ z2%B$Und?D&z4hlWeeWb*NhnJwjphUJxXwzUx(ow?Bu5O8&dM#m?#g$7jmU)Uu=N3* zmvoFIqdzza95|(*!oPA9)6%R{FIh7ijD#SXAt7jWQUGBYJH$;btNUiw`Fe>}1Jot) z++wFb;QT^pd=%%0)Tq=!nl!_ml2C1}A|z-X6*Hn9arkuoub`p;vwv8Z0Epm(Hc-DY z$v5T}wWiYy+Svrxn6RfdmwRJd2#7sp`qK*8gTHqov{*f_RqRbNPCQKVom{g0)>W$5 zj{+LGWM)0vD7NylkE0~AjXRa`$mq$tMddM?C@&Y#PA%^Vf}?=i`goVO=$T9v)Fb%j zYW3Q$RhO?^)t)aext=0jsb4AG5ql_rS8w$(p3*^YV{(czYNe66^%@xIRuD~~9lggE zea<(&#`Z0^aKe#=YF{t`bgAefhTn%ooAO`nQPIyh5HriWD-T3$SsF}Xi#lSWWVWeE zJUF^y`r9t_ge~M`__b$$a{7>XpokG%i(hVLl-)b3ey$km7!vl5Mw|n#@ciK8Pk&Z# z_YgX>^d%RiD6^{XzYbT3DA!7}xxCDAZ_)<-#_xUqvY3bLm$CabFbq9Z7;i$D@)Qy> z7!Gw#QKwDd{gSP>{?~-2u)nlT*jXn=mOfo9g`*);L}dkL$RlF1w1lj`oJ?Q*uHjNg zy1aN9v~cv#J)?c3G;Yy*P8)bSbM^4Cee?mBjJxkZ`zy+myDJ?x5QVfNWleh|Hq zVrPg|VS?5KN0bH8N=3iMmk-e8wl=lDRJ+`J^-}d-sQV{u<>N(siTqy)n4nST9=vZXla6j z=v4;Npt({Y(JE=6TC@~fj2TFh>)4DFLs#I9AAjo-ZZNw*9Oz0+gyJ=yvgX3+`fv|I z16j_InQ0_;6-D;HMn+~116^5=XTCevLUBFqD8>LaiGxFT1{wnjlQx?-hKt!XgK+rg zaivC!s{82CkNpOnW{wm|O0Qt{6+{!x*{f=eC7Py&Ly9*KX;FY3e>@R8{A#VY(g%O( ztA+ivWdwB!zeK{So0&eaCydS!HOM#MI=amfH#hlTY-Cp#-ylf^_wb#Wx^0z_H)^5P zt~@6nL6$w{Gsc^l{4%)P2@8I)5xbOX2j8qR^_#Mi5qh*Ua^QjXOl#S0m@H%PG*GS_ zb0`!ry1l_3R+9+~SyO3ezHAoOr?n&k-u4}mc*Gfkoj0up?tXs+-erFOY~5k?yj^iv z@AG*y*RWPK<41XKYE(hE1@>w|4MmuRS+lMdtWj97YBD5FyK;o}G^D26ho(yQ8aqjJ zK3wxg_gZOXgshFSWunj~KyR5Sd2VTlkfX-HW8JV$$yO`OYx~)L*gHi584{@Vpi?+I z9l+yhR*e!Sp2RJhN98Q+mVT|yy4}}x zouuvk#iA2)yPe{fQ8DCE08+<3ZJcNX8_nwHaEt9Rn9x}M?sI!+n^XT{b-n%s4?^8T zm4gm4$v`BSs4p!Xs^$FS7A>9Iq5s479i5nE-xwi!Or_MNsms2YizgRF9kM5 z3))$>Cb4SR4Dr@Hi6(7m&}yzB%1-8a!-Jg&QrShrm!%!p(h#)H+ZyGK$qID0-UHOn z5#uE7e0}9BR;9~r7Ss|Iuo1RHhGx-1Ze;@H)yoI9jJuZZ-oE=!Bd5#-_#Z?;?{FSuNom-{AiprF{1C&vcfkz5a4ibQs<-BB>gSfup$amE z{F;8jE}h&FpX?gB`>@2YdzbPbd0HS|Mt_HcCKLy1o~N_Jj{+bZg5C`58dL@;w(8 zVC9#hlb*t~Su%G-UhHZYdIr+8Mlt!E{r=I==cehE%?kB@(3sUKZ?r(JRWH|6W#h(v z0ZcKVoPhbK09g+}?xxrmfI658J&|H&VLk>IQujgN-9kUZZ#D1Rh5p%lwd`rLq*>&N z-apTjbmE=It(~!hVds})zi?-rG`nH35A9lW6L+xoJM?9>$JBnTMOA;LKb>wwjVO}K zOmE3}YR>*#2de!E=hqnOw54iyb6XpRFuj;m37u+n`mBG_kL=*#Pa4b6c%bMM67UY^ zBM02?kkhZD^sijw<9=bY@fE!rO7_F6hv>5N&CmIuYX;MvnXi~tB<7%PMcMpBoOS7b zu83BY=YB9luzYeQO!~}Ztycu>ve9hLR1d3WwqKkjaZ#%oC9aJE7}o9;3d%&58}y`; za2}UwgKZU<3@&Wr^{Y-6@e3=y!HT2xr6K6%woK({oYZNmA&(V3J7rnpa@1GGO}K;` zVePdxn;Z_~C8oFDvHi+po|Iafblyl?0sfRf^iWk;T1@#J`T{WCpijD(KYj)}mr>Vf zJ~nJtZHrf3WSAjbgMQM=npXe7g5Kc-uE3=DJgEyr;254_-e4x)if~uxZ=?_syYW0A z+fV6_)&68!LHH%;Rod#x)Ei$ix?Z~zvuU7uCR)RRCh+IcNJb2B8+b+?OHz197`GE? zu=@Cok!w8k&wim^TVDM=$1jI)htE#^IEPNP3$vpXX+B~;?300=mhbzj_pB?A?b$#~ z3wO5nlueq6gqo8?^lPBjI8gH|vj(0bR+(fqm@;@3Vez~Nv<=s%oa#u{q7yF$u3_W@ zmvYfg_3^bbKq)6KZ;fqn8CjOIN-i76Te^M22(8XWMhAUFu)|1l3$m6I_2G*glB>fQ zWnPR-j}NlHkxnU`tD5il3^nzhQKv!JA$A9z8ANAOYhzvtLJNh665pMdu24>|1fRB#wFADYA=X&+zR0AzAGOA|or7C!=L9qo|a2Y<7XB*kd!i0q8@oS(&Dquf5HI7X(R zpM@=tQsbUlD8zbBv)(vxUK@MydNIG*_9n{-E=sYm_>-a~QVFvWm4jXA><#ZTGorU^ zuM0N34jn?r&LD+txUFZC_LYD&tILYoS??@I+auZ=R$83;j%}0bRZy57MVzZH)%uCV z=|Da3GisKFHF;iQ9U1g-J!FWV5@f2b-0%!kUOD_x#w__Nmq`g(h|&ywCd`l!AM43< z|3-%9_IgU)D56EinPP8+`iC#NW9P5X&ndywnaz}m=$;G9IP(o5ksGslY`o_Y6|F;_ z(8F;df2Vy4cbD`yBjoDGT`#?kS%qbmx{nbd@XUtSf8#zva}{Om#6XHRdh<89D`cGY z<|Rn13i=2ol`%!e(5A>w;u4t)B(?9YVUcBwL1uNIP|a3YG|&HRy0I7=(`h!7z&p;R zr2mI^eB^O94|F1JQ3B5zV@fk!w>QhKz~3@p2OCQIMWb#|4iDd<<;uIf*$t;1kaMG=d!O!L=JB?7BXuqm^9Q+ zA=Qa6_{zxBN$M!)>cDKq5LE+^tz6zHQXX1!0i@<}YzP+TF^LD?eGw(l{^1p9k#1Bv zT!ZFqx%zU9{7N4;178nO2>w$kc6F|6ps@sgv)64WQGf8NivEICC2^q%2jV^<8AAVm z>{oAAXmNP1YJ78VtX7})e&{IhEp(4glhc`FZIC=oVM-oNimi;XMv*ARW?QtgLHQw& zdLU<-Tt=EV$)MM^Wc>m#vp(`7vN|Mg5eY>sO`==q!r6Q7Fg8jcn%zV=fxmlj_!L}1 zNvH17VWqqNO!UW5j7BF-jw7*<8YkOeUZ(*e;gQCIk9lDT_v^A|UR3+k7?f@=CJvZ@s5eQ?8>Rifh$BL96RhyI>9ZU29Bf z0F8TX`%?FIJT|uomngH#KL(NaU;YaBpg$vL*2p2c{X4c6_yZh~;GL2W8(bvEq3=Ge zNGgMzXg9`r)!I||MEOFKYcLPnAJ+JCyn6+CHhC08R+H9wUI1FU>F>)Y%U*X3s#$|g zIh()izFAcJ9r-i9R90{-DYya8U#swCsA#8#4@ zl7VE;Mpq__P@c3CsPiIP^4(R!m(^z#?rGLq2?S?_qlK6(K)hGT=K3E8=9~NO)zw(W z^yWfcIG#T3IJKDq^SQ~l&v-%D9{wm{mRzL7SJaAfD;J%mU8~)D0UXKrwY+)%Y*)fV zRa$k!(Nur;jdKpL1*y+0>87CRq-R>IZ8iCSMRywoNylj$k7AH6b0ssj_7RLm=x?r{ z@+?^;UKO7Nrm_aDt#HGj$s~Pb8_N&a)G0(0%nS*!!J?Bi95Q5gc+=4LXmn!*ARI`;9w0d@ri|orL{(r7RiY*GIeo^giR^9_ScjcAM*v6mL0A zvaHVxt`tAHo#Ow)n_}u;85N1~%PL%i_M|Fj5cLlv*@B($UI4hu^`5KS^AH`P{MQwdfkiY}M?7dszhm7}&(N4e^kCkI)B;fN$j9|T@c<;lOE%7cJ}gn>nX zM}UNVJCz6VdP9fCKqF@pQ-;A*F?On^U{_Uh{_-uphD;oo@V&Ns8jF(k!zUw?z#a}4 z(SY2%nJsKbs-VA)>LG}{o(2PzV9;WRNetmtZS~DS`}R{onVW6CqQ(L!!R2>m9bil) z)cM)o8#gKu4SKh4RGQU8rS{+qj}x|OaC9;A_=!%IC~xXYwekq;T9MW%p=6Yr98@)* zX%pQXBg*0EQv8{lIk0Z7`5uE;DsRjpuZ+n`7-%S(3OhEZWko>1;wM5E%uOW8*y zuL?EE&nW21r_i&Uys5fQHxJ$4O^!D!VF|*@d?w<&kMf zuVOSz(`&~CCs)P> z0$#%wmQkeX_4^`QHm}up6P(3x=Q&}c^$j-XtsbkYnp6$uEGPOD=4o$lj6m|1Kn+r? zD|i9*VSmTO1m0Ob_+M1!yZ}V@FG=yXKdn#_)0AB)aopCj<-CTqS1953D#A@g<1JvA zdRC7y1*#-6(TeK8~?D~hbEpb137`El5yBQ&Dt-@|y< zB3=%(p!^~xhB=$QegSM6iaq;J_6f5Me6N$_SJ2+evN$ydioS+x>m*Uf4VS+g6=S#& ziV~9KYUh}b0fC7@{R+;y7RL#iZggG-!$g+c?-1$NuBzh=3I)KUug2|jb;WI!ntlDx z3qQE~7l3fVel}}ZW@L&D!6fIEhz$n;#IG2x%v{#b*3XLwou33ZVtE=*a%P&;^)g939&q9gh?Av1<~f z*Urcq&H$19PFXhMJ?z^SdTrI<{egC9(+;6>sp4n%IckO!`U_>37r+&xZ14rLNMHtH z62ebBf37CxGP5|xd9zCH&%eHZOwHx`(H})3Ik` znVA?ECPIl$Q7nDKfF`J{)!csdx9^&GRtcU4<3z@c1M2DO2deN=>F{P1pTScvA)=4> zF8J{6#=&~4Ayu}EO;4$seUEqi3nJrSY^tJ%j87+ouu-a1~~(#j9O>_VO8jal10w%W@~v_h6c!M4Rm0jbq64ev}aoD`QOoIX5sRFJKQJ z1Zs|^N-K13vE~~1fL506;(ufs;jq#8BlB^O6x0!-Bi(5*JNV8f11HuJT%Pm%v89#x zE3{hTB~`e!BKjFc?>PapwH$=WKxYN7+PetAl`;-gq&?Pd=29)&hJwTdXAY+mPeiFZ zrd~?OsEsFE2xV0{hU1mqfZ{x*b-FNAQ-oN*-s+Ak#cv5wYKb6L=x@MO#|i}{uTK81 z9f36BFWBUs)X;tV_T@RVL>Vn^@$v*CRQI^V379`{ciz zZEZr?01(58nQY5)VvX~Mu`1MOojcamd=V-!W7f0lc;xRXuQ5O6Kgo?u!#)=PW_7sj z?Uf|1?=kbnbAL;CnV(fMifjpIKQbJCKCQ#FP$^tPF>%Uz@ZXj{CGslM3*5lOS%V|p zsvQX>>oRR3}d#corT!lHv_W(97I0xeRc;#M zL-OVuE@4xDOM&hpBmz2fU=yNyuUHlKJf&MgOVPLJb9WO3V3A_Z-bR%ry@0jMK*9SU z#DPgfkkC+!q^KgWC*Q)I$J|6KVL<`-KA5c;eP{@^rn+`457m+C8we`ZY33xR$%B5x zRt(CLqFERJ=3GV4i!9nKHDlxq3zny3$9zjGLF;QWVbrvA{}*D-WywQ|A7#Wpr>m0@ zDB)&R=wxfEHQ+2M@`)bV=w&mym2GZ`G2kqB_NggNs-R&CTKeQGJYl9sc#Eg?ZNnMp zW1(#UbF(HE2^nZt6B8vid;H@-YG)4|aw#K%5Fm9_OeCRqznPwzjZd_=#Fns}jtm?Z zY5p~{OchpRGVRBpr|C^%6fbPAW+AHiyrE2tHv1-C#sk@^<*JAQC05n9MxokC4;|T; z<(I$}N9^hu!wjDP5D#~fZ$$J}Bhsm!iTiA13qHXXjPML4n{A*$xvy`z2`xe;ion-W zo5cJYGZCd8vKm&QG2rJj2b!ao-j{6nT-~KfYof=^jMiOX0?$mZ86&Y*cF?b7AVDbM z+`w_Xk?%1OLCUof( zdI6AYrRm4aOlU1|TTZHGkW7n7QuO70F{W;fmjA`;dGcDgep5vMIJfTZK2dvR!(xd6 zA1*Kt+t^PhtU`SN%}i7*?e}ywyiHPdw!sa@(CNgUyNTBFlHIG^&!yrJ`#*Hf1gt%h zElrW}muj*6V8^QCvNEi7c5NLN+ZCu1T#SZh*v!XPhMG6UO#2>hUuT!G1%8X8G4Y3h zvX8}{;5e(XDNK8h{h~d(AO?VXXq8w+pIH6U31l@BvTj~j5=jkLdeZQA>VmLJ-X7mX z$3Q;1NkE5E`gX(%0Pd1)F+;>NAC<5~L$!@yXYMZJ>XpO|QSPFxDng7vFsJE)(8Tk! zuXg+8pwDvTm@h!WawRo%AaM}^>N{zc0T9OOJ16`B-)qv1I~9kjG5wMw!J3R8!SSr`f&5u!*B^#bXtu}3@$4PZ6M z=D-BC0R1oIQkX^x^0jGhZQJ|b)?j1OA1N{@Akw7{%8ix@@#%Ka*KePb#pS(*yHm^3WfoliUjqdHQ_~N?w|gtg61v) zUNJH=0VH&-&nCK_@53hGZ0wo{Ec34!ZVB@$w+VWUc)a-G~h^D^!aE92I z!q(VxX}%Yu4sA$+j`Fkn#K=TQ`%P7)rn+H-n{6ygNHSNOk_w}|YNe_K=d+Kn{=M^@ zxO4_+tjM?qQ!fMFj4VhW_7#|Pdd_jlwyi$M)kMep^!)fydphM-%^_kmSJ(Ja@FXij z^C3N+MWOVZu>!E6ojQlU#RjdvK41nH7^DR+F;MsszPBpEwi{)>Mb<4y!M&Gt_&|sh zg7xv|sXOJPbw3Wb+lT5U`?7bW%wugUE4k>3ISClQW0!bdv5BcQp$3`H>Ti*6F>T9# z2GTTmr}WcGe{EtN>0hF^m$=z^p+-dZ&HQF4PdzpN$4a0gTN<|y%MQ`rwegQ7MypIq zAl#I4vj}5zZP^rZ zLn2itG{lHJCsc2qH>T2DPP68gL0e7=3FC@Qq+N<~sjRNlk~TA-bG3Gk|KfsqWIx?! zc{$KlbLSh&ozNykRRN zq&q|~cmY^(G025Bp=1oo{VHTaLZgm!L7m88=Z978V{NKAYfU*DFy1;LRbt*o{Qe{2+H+(C1XP1|=z9O7*PLO;Co{&1EX`y0|6C(_(+~_Ow zj`<~dP&rKk?#ovvSn7wW|Qphfo$ZP_b6JRjz zVY}s@!HtKZKj5x$Q^huNLoW`}+WY1y3-wf_Z=@c27rgX`pzvKQo~@Z6{4?qf@C{++ zDv7~1xO5@%QK&vNsT~=P&2RNWZOTe+6l__Og>nA^_GKqbMQ&p6{n+6=WkFMt50 z6OAW5A&&;wx)bayAxeK)tXib`phd)KY z=>`N$=uK&%g^u(lARy8~K}FFMe4ca8d(L-#-;aIeNA_GZduGpC>%Q-`*E~82RZm~a zwm^0)a1>!FKfmb_+EE_YEWFt@^GPCDZBzOs{f|(LZ?4IRA3#(e#`lf-e_w>;GT;N! z+@l!x*a`XBj`+##$zbk|dVk9-AlZd!>C4!Yvg`D?7?g=$2^k2V;>dom{&_?s- z@E=v`wx08^k*-5s3MHDvf35t~M|yLY@DrFnL=!F7YW@Lq;=j}KR=)fLxa7B%7qX7- z`}*}Nls+X(08^^0QhNul9@pxnyxdKpDo{*y$ zW%!yh?I8->tbM>P)*Dypas>v0H$e9bj)kB zM#{`?XL^^{?iRW2JH8q%JDlA13MSH=3|XAJEBZw@HvlBhzt|gy;GuQ9DO$383V0fL z7b7XL260R5jcF04IL=R!%JzS31RC09+UNro?V+y>&b!E8U;mH2QL|ILy=~bLF#V2{ zUHDzzuW%=9Md*>OzP{^;&?u*_+gz%=;-XlT(Xoa1^_oYwo|=#j*KMF%(Eed4%|4Yc z0dXPrw~rW`oaB?XK{>ua(=!y<2O0RFp46QG7`!8LD^MFQ}$g>?K*T;b&m zYx1?4yq=T%BzdY8$xjx{g7=$*bY3+^Oh5ZkA#0m`jWW0ABf+kj^47neZSlr^4mU&f z#u|Ep#oJRW;y9-}S$z}kw!x%py-=xW9wef!0Ba)053qV~btk7(YP8jy@~5svjg>Je z_C6Lj@ivNl`GXMxQK3+` z%^{^K5*_rwTiV#C-znpG9-%3tvQY36n5Y^?}& zO|9uOBP!;W&`uXw9q3kRKoKLty&KONiaRy2GIc6#a(hg%+S%oxq-{*CUiKW!keOX} zZ)~-%tQ~#4<>9$V4`EBBT-o>KXGF=Z!uc#lH(Vwd+cwO{96eN_CTdx7sf**S2AQNb z$k7OQDr@u4Ts&#ol16sV3JR^^HdRVmt@8yw~8OLP-C_fm5Y@D$v zTiHo@mB_lGn1X9%kX0Hz{C)DCTy?V5()M@HUYH(BH#(Xt6`7>$ZRos{oT}iGWwd`a z3v87%v@%|Gb2d9Q&chtIAx)&1&27VsOd*nVIrDDzZnvM;Ymr(>I=7;aZKO4?&st0r zu~RT>yZBqb+jwLol}2h)6QW{bOM}*!@fZ=}<5R+lYn;W@8Vb#hh51jHs5uZDr!o4b z8?sFXFEweFnM>9&5k$Jbr59C$AW^-rV#d9e*U@+StI6%^1)q~PWrDA!8o--;2M$W6 z7VSejr>iRBfZFZ;>`H#1_=Whu&=}TtrMk8T=e;@=tF5 z4mml|6kL)lDA_neXzKv1MfZMX0jSI7_#qs05q|(~vm)8m{bvaXYY)n<)J5fR?|f;= zAyyt2+icF`@2Cwj7su*z>Iw|KtdobvXF;Lj1z*^cpTX`=hB9O<pUr>ovHHJ z=!h84o3^hr)_=?W>j{6w%wQNj{MH0b&>y;^^;4d^ls z+||WdQWVMNc{pGG@&sdT%c$+C_sM_*x3K%&8C83A>8FYfnF89TdAMHRWy-Ca-z-o6 z0HSWtY205n=n^zJl{=>)3ad4IF|lvoM25~asm+0!XB?225h}Z@0Bq7VO$WVw!P9NP zqja9aTsQgPlRKopIdMkI9+Xdi$<~@iF}!aJRxu?cZ-GGNC5-Q~%(JqA?<{U9LfS!s z)q~oK08)%GmS$w1cKqG^(cnY zE2xLuSgG;hK2qj-L(DTkz5;7}>!YK}o;aouYgH|;5gGG-(SM=^6~TBTmzUY3ecqJG z#~#<~3c;JK`&!-3jnzvui8jU$T>Joq-8N-~d%w*Q2qT$IdyiKc$8o#vxc6Z2F*vtR zUEI{c(Q6IQFgsk6sY=@nYOW48_~h_Gh@)#!;sk=M3__n#Zt>R!`Wwbk$^s?k0}AJc zc@PyVQL_ryZ$*z-$T1DFxeI|9Jtp}M_L*=`lC>n0;gqSiH2tPtK6&`2o-)zAzd>^X zYB~GYyn`(!1vP;O{`OU3udSpLBOKoFd3wwoc-=Ou1PV2-44QLLEb4pLUQ2TaypRe# z{%{We`h;YNl&w|%m#sOD*Jls)r^vhJD>{Ox*e`0^a@LI+gX8Jmh2uPu4I4YZkYT~twr}` zplPk{1L-qsq<6&)=>r(|%QO!@@E4)^RcVoxWx*s~WVD1mVVx`!OutI~ljGNH&zFjZ z;hiyPb0b{_JkK$?){Qns4b9F(=fXX0KV2WRMa@6UzMn=ZUfuCAiW+9GgL=@@M(1C^H^RkbNcfu^UvgtW@l#UBOP5q% zXTjb$=?J}#-;&om8+IUH(?pN(Wc5dbQ{1OVyf5Nwb^Dwf@l>8$>P9Bb3@;Rj?&Dsj zLur+UdM3-Izblt08_&Jl_9BeA@wt~`mb>~d$-LOdwn7q%9@P_=N-9{n z{p-*b%)CajjKLQ@W^I^+%W6@Ir~H}OErZP!#A^lmfJO8vHb9<9*+b4X{?du(yRb5m ze!!-65+qK^A)n_-DSDB2;Tb3%Li&0VCFQF00 z+F!b-@|&+rE6YzkHrK>X~S7k(7bVRT^Wh zO0@YlbH8LCG70E$OFST6D%evpkIXWX$+T6QgR+*|rJ80hnWl*OCGKe)FfnM3QM)b0 z9RW#(qJLIVFa^}5NL|JGY~kWY*`u#TQtZwk>QThV`?+>aySvp=Y3M~dU4IMGfb6nC zmGkMSe#2P0J4D9E*2bodP!Cf)0QA$7(yB_0Z00}7ZG(R}z5h8zH#BHZs##C+;qNb% zk9@JqOBW(_O?_a8+sKcz0=2cp87E{{u;WATL)WMx!d+1h=#H(ZSPmmRq>)8y(j9Q5 zF*=DeT|K(CMH7rl9jAY}8cdiv=~}Kr+E+n+ zCrA(}5UezL8VoIcsDu#H_fH*`*pp_tHR>Jp3yYVHSP9|5XY%0(jKR0_#rK+aWi5?x zfpKr2jTC$hFOHa1!>m-Q7zr~{TcCP0gasZe>Vr(p&ik`h5u;!XZSBva3K;w&V z@fmDaG|TIy`H6PxXMw43j~|n`VpEIis!{-qjsYuL_F5Gq+?gq|wAA6He!YVZXC6%N zvs*0n-!YuZd;ijSmvD5$FrLl*V7_DUC*SC2QO>|lQgG1Q3 zzOdc1)IW7${tWY$>JD$~`@n)*i3d(o30) z4A>KvkmnJPi4Ig#Zc!|=FAP4gpMkP20C>=983c2sg9yA~vwO<uD`AjqaGZ>preuv<<5T zAey=TN(pxV0E)?p><-JR%O%$xF|5=x#=|#wBV(<>cv&rVa9h2zW9Cay3UDP_MX931 zAL42B|A6d!pDzXnN6I{<|I7O2q0e`iiKuS$NV#9qKaSe@;>%H7)q$z0(3+d4$KrWd?qtnOeu_VqJ)W%_6%d=H&#xNh%|SK+N9{{3I298*J6ywV zT<7{J_3SS}H0F3TIpKN0srwD7)?Glae(tO^J!_*w@<88@nixPbB;}d-!|23}Rkb$C z_LEi{8k_{4xI>g5TNVp@H5~h*w$=~wTT?fA>fv1sYO!cn6wWH_SVBFwB40JYbcgN@ zENi4^m%P|f-#?mIR5l_vw!sxP=AdjA`7R^N0YLOj`X|a*Y0~Y>3x&O5F~6j!w;S)W z50^AmpL3NCzVf}=jP{k1EV}Gr7~+spU6&*%h^-HC<*<@XQlfJA~7oqcDHz8^3(5N2#738)-5qg~4hmlO&q( z_FdBO3uB2xS;p=}$qpyv7By;F6X9c5Y`^l!Fe?dfZj0QKG&Fu+I<_@(Yu&mKS<3}S zh?381#1O+$ws-v(`2)lugR3K@@9?C}rfK_Tsd z*E@UZM@!HovT7}>yJv}Gy%YvebAOGrS^au`D^VbO!T*~6M z*zYv=JJ~>DT6a|xgRnTpieOenf&7i|3Z7E>wzDJamt6j{zw8|!RUP%=E4P`MjB{Fb z9%vX@;#%xksybJ6qvSnukwtw0(yqNV^}ee(m3tTw7eKrZn~-MEMcX&2Zc zm-a#9`keF zAtq4=X+fk;WEc}GE%q@vWZ=0{q~<@&Q-crh5!2UBzeRbf6KW21h1a9$9aCwHHfPis z5G;3sK-!P61E$e#5S6S9jl*r5sax%6$|9RIw|*D7ZAe+DAXpX&^09H3rqiaKuPoEk z;YW*Vg?gxQaQw8PAK&FmEz8nC6It<0lKgsRoserC=Th%W#`pt2g92;ns*y_0oX2j2 zM?g$7y_C<^cO;>89u3(~ch2L9oJZbax8!9U4^wp#cwQXR(!Qh0T-Dbw;4sZqQTF?E zEDa`3kVLn&tf_muTYdi|Q%L}}GIKLy1E2;YAOYb&4wVT?hk>WVD}^Tv z)ph~SG|L~tbn3g_3ATdY7)eJb5&FFyM(-C*=|bEK!G| zR(C2{XBB51QTZd*D&k{)LmYnqT9yL+mhp*^Ci%M52unc=QLW)9Rwnfrbt-6fdI2Sk zJxSfKd`S!;?xX1&7!yvfG%5~sK#XrhX67{Et{1lav{0-~3grxQAa4Orzlm{dR2eHQ zwkc<}lcQGH$oGV0DlGy4!hp%7Ouf2WnUum}rX3NQ*K`3guGo&?346(~$GMoacFkOz z8Q`gaEse1=fElEY+{@tmrVffyY2IhP@&{VA$Z#)Q&sxMDv;q%$C1QMQO;tMIvr0v8 zbN5@$uGRwWuc;i{xcTl&<1B24xu0{l>RCr22uqI&HSf}TBE!bCL#G^#~0DbQICs1TpRJc3w?#26T+uGI^r>QMoWThlzRL~ zU!|&vu<9&%B`4*87wh|Zct*+a09Pd^WAD>zmHR~i!Y=AC*M3}$(6%5Wt)PF3)_S}> z>8QAK#_w}wlD&*eL(UCq@7(CM)bv$1?x|Eqq5SbvUf1ciCg&USuQT|jRZlc>nAKNW zD)F}^@GsZ#J#L`0sVMT&8ak4ud*naN*F3RhVTOZxFyR=2N{~HZ>vO8$L{n^PE1aK9 zqS~pJZU(^wkWLy;j|+GSwxA>+ok`A&yH>6f#v-jZ8J(f+3)m-qE{$(o`r`q9^Ul5K z?C-o3d{0Ks&}B~&E!DSpi*>9kf&Tih@U@M!+nfBg(7jiO>hDUZzcxg3p$woi2YHhc$a&c<8SV4>O;;k zv~G4#PiSA2bDGS&=94v_feXDzWB8)PkLdtsHbRC~I0?fWmLZLwk4;ur<=OQLO0^}& zJ&gG#KeNw7_x8WFZ$*iZDKVRV(DC}xRBj<_p~%!Qg6Wqn_!I^jwa*s)l=BCGm|B0^ z`(u_Ctl)&$q?wWC?(h_?u2@UnVt7cArL5mbE%J}Vj?c$A75QMNVYmR38^n?~k0n$y zw8mB6lw}Q{{V~~?CM%#^hj-n~%tEvvP{LGL{Kvt?On9b7=(%sOStPVge$SFkUG9>@ zg+lP~#{6o{bq6yxH5xJpGw02x&c-&SY@V73)Poa73#gdq6WPGKg(I(^%foN=1JXne zy7swi#&O>2)Bep>`StDeBl<&p7@}(|gbbqoXZwu~mh_DDrlOi>9`9m0zI!v}1qsae z=L!Cds?6)i%>7C++|ox|HM`|DoOp z{^WEZpOtme|7<~l;fqugaw$J~GSI_R>~>-9Bd@BGee65|)KRH3V1V0#>Y64&jtPqd zvz#$@*&eD~A{ z{eQFs0ZCnP?;KzEgEfp@&HdK|gm1`%2ac<6%3ME!@Psc`6xg!ZTIqL_Y1i{HyRa8) zPmpXT>U@e12?UH1$KgV_X}|3#h`)xsJZLRlABM;sI0inTaS>o$OK4v70Xz8$;`}4; z6}sIe*l1ThLnw$y`b!7ACK5kzDfUg4YT7Vzn*vxk2YHDSNTb)OIA(lH-_UM07qind zEgs^*j7y3jceFVO0AzuYE;PUt|ge<4@%$tDC63j(KI}Bg4~@XiRkk*ezJIE zmf6B{vhXWSdB#yOmIr+Daku((TIkT zRsuk%=j0q}3A|PhA$;&q*0CYiYmAZ9UYKH4_OBl60DznOjxmKoN|uA6Egfptwmdms&5A8dh9vaJ@L z(yJDI?=L_Kr#xB<6hfISxO1tUH?kYAXD?!NZN|V9^wiZOkH1?8lqUNa(Kk|H6bvbgx^8F70*Rh~5%C9(bUGPFBn*D;brBK#x zsyiqNS*|L*Y5lGvF_$sRsEz>3)mrL6-Ca%b?pxF!Kzy|;GU>CbVZ&}&;?vQB0+IDX z9%LuvU)RxyhbEM_#tz3qm<1IYsJ+)ymzuUhDL+Jeg>3z}r=0*>(`*f`th#%uV4E}T zq_^j4bfB&>4@Zbc)d&Nu=`d2OpA`;Olo;gNrY8A8el9GP1fTPW1^6iZ8baM z$9?3e>xA@}H8>3%ea7;c3a?liH>4Zaa(gQZFHQ!A)#``Ke>7(0Xsi$;4$H|um}xYG zR$N-#?1DrdnEoo7)01@ieLgz_fmF8DrI9P$vlMc?^LFoVei1|g(|(IyTgmDDeMPP9 z%9>XB#>vWjfo&b?r}WAwK)UP=yV!)su6>g{`jLlqAuSCF{-CogeD+F>8A z1ej_m3d-t>#j7NS_FEEVq{c2u?8Wj+Z&cb9X>Lq4)sP<0xaOfMXU-qVLUCAS zH2kM)fP_lOCwV>!;7{!}(l3@*4BQQl=JGnRi?o+a0)Z>ziJ#&p>$E5X@dd&UtfQj* zqU8N*xhQ8pOcgi3Q%*lu2gyDHkw~vB*K_b9M|mo&G(z<48TV1!7r3Oy)nzHVwBt30 zl*k5moGMv3)6e;CNTfSt`cbH4eLGUU*z_~dmNrMc%Hr%9wZz+c}Brw@cLjB^jgM>i) zGFQ>y-x=Du!i)Ia-8bBqUw09MpI;!uc#K;rMun~uGTmW#eiw0%{fHsl>A`2IEk;Uw>uTdob)#H-=dcy<5yqnM7+zLg)|H+8}X}-X}jN9X@Qde}ZgbaXsJHOhR zBP8)sx670}OQs#I&R#YrWbfRUTB{~$C7;%6O?LL#rY7>@YbDcU^h`z!u`iwOMWuEY zWP0hXdFW(CQ^*#JyBk)Mo34?C&XlL6iI`j98tsW2PnxIps=i1$w(v>#;*D*D`;@ri zvReP+LDO9h9>+e_E=vK}@v*=x(AMF`LElIV{#iT}61;+Qmz`FO#45PX`Tyrbpm z7+&H@6zY%fB^Zc1o9@c9{dlw2VA7zfO4JG&#<+k!#yI@M7kA=PI}3O`+q%cW|J%^x zsf_2SRz7D*ZE$z(89(N~UW-+*)(VONi__Uw@X6roqBKMo< zv?J~fNq4mjN-^JHlrN)$hD^}}6U7+^c-3LEL;4~`%-0@_jOi!874%$>u5|-Pfr6;PZOw>EDXzB& zFqydnpso?JGK~wW(!{O-Rbf71s?6YhZgk4ei2wh}5JZMi5fl>%ERwfK4+R9Bf$es? zRp~b32=Jp)K?@hn(sO!Q{O85N3qwZ%K6iBs`Me;wv$)xzbTJ_t!VhpKGWrb_%qeG< zT>yiSu(J40l$%m4ta6iL@|p+q8LuaK*{lVYU`<0h4quV`58$&jF?&%0q6_wBAospX tl`H}54*>Gv>bx?#|2W6&Z((Wl-|Eizn$XGs?U(<<9rz>A{@$_hzW|767NY!kl|qe^y2<=``=!8UIw7Uy^MJc_xh!wvF9Jd z{^J`2F*D-4|9F(Nu{5Lv0a8`<9RSb1W?RXqYGQf*WAmLA4@QBL=56BfKy`jX$v#>0T+%)A zP-PV_zo@lRk!ALKC*=ga;(xY`)PQh{Oq*W`GjR?x699%VNvr>aDJhwVQQF5jg|I&RV{_eNM=%;JLOHCAjWwk z3;+C&K;{uLAxH}PkB0oem;WCH{vQSY|3U%p`+vp6$2aI-8~&%Ka2&yD0U|m+JR!SG z)HM8lW|86@?W7S}G=G4`?^aKkyvMdK)V8@QFxt;QQ;1)sbR^gJ005XFv>IE>2r4aI zm9Q3+`D}GBoygLf?bE5G36t6I0f(M?z2Tj$Pfx<8w{!X5jbFO|9PqBPM!8KGX#TIf z_9EV$u+JU;t^HqqvG$RJ#cL~!FPoVBB0?ad`9-76VYW)ukJza}8lnLSTm{M6-`K-! zYh1O9R=*=^rS|3~AAi&KNuyQaERIvLTQHJ-bUwn#ee`VKI$NGQM#OhSk(Q%OawY%T zXmfS}sXB(sdP{B$1EyTegF}dEKDeFr=E|5m*BQirakB8<@prILK_~vbc zk9fw7)~}nY>QOp-rTtqHshJ}ue()uCu!{J-&t6fLw`W$a}HtW#oZ_KRbIpCJ_6WOw;a`4E3Xh(&wH z)ELCJyTW0rG-3Ywl&Ji8v~HO-ZaOJmXK64Nv@fEnBJcUV;K%X@zTf{s98}ZY8VuTO zOz!~$3QZ~t?Gjb}L9MhJbj$b*Ah%hfhb?JxmsWM2^9&aMI2TqUQ{fm|5lPbvYKdZ! zw$ze>bezWLs*6Bi#N92VoyqP*pjEqT5#`l0OmQ8|)Q4Lhj0|I1con?PARz;#uOmL< z%N#)L{oS093Y6q7F$#)CHtAV9(p}7S0(T_oy+MBgXfHm=gl6)?QYN1Oj!YH6sfjhnfP17Hx$w&bN+) ze`A2Q^c=*Ic187*%Xb6RIj3jf$?}^kaEgQe4*P#yZ|-}T_>VTn1y0;-reqbg&&ta6 z{C(EHh&ehO5bU!C;G#$0IGo_*h}O2DXY1kl=kXAGgXN8I1EmOiZf1W;V6yLiJ{KL% z%Gz-Jsr5zX1K%8~xAC|m9EjEkyoI@2U}~?myi1-~_JV`I2T$;caCqV_gl))XXg96&M`+|~MH>FR_=G%?>6Rvit9obs zi*#OIbBNv1wBmjb*@trRDIk6IeCiZ7W8`cfM_c<^-mY>fvYkG?+%E4^9BF%TK|b4m~1*ImEpCpz@EJTZ?>}WOiuBW z1H>oc*7hQwmJX&Bg?7FxLosJmg`>Pkk9_TAILWRXf%^Mm^MS61M{*8dU>k$qTBIPc zs0byG@H4=3I_yz#Em>E%u5tyra_bEF)?2oSV>4FSkg)3zl9bs=ozujxhG%EZG}7nhytr?dP-~eq*l+M zzmjVwc4JRW-3&(kaJV@t-4?$uV~r5N8>Q`Im?+ts6BNPPv80hVVsxIlJ@k1MQ6?_Y zj6dc%?Y)aMv2HH@NZ#Nq5A>A`avPF)w>uz-kr9w1##!xRwAKyUQkQaftg3wU?56ee zeRLQm)tz!S6|!GQWt?cX%rP?k{(}{ra^9TRRVyJNBrKEPe#~3uxOQ?nEX(p2#*wF# zK$D%Z6uLES7^j$*afITfG}1IX%Iz143tkjed)^!bACK)5B~r90_5zob-94D%ypwDg z${(M%j@&wxgpaigx&=pxAHG4j;zltd#iKVTK+A;o*x^d*`ba&Eg}X+0A@3;eV&?91t{%*V#>&^bgqn-3`*D$co04&683f zDqMc+=ubKx=}L&~*IhS027gRRw-IkY?{9LzGd=<81Q1=NAYE~Wq@4X21j>L{tdKS# z>pQot;8f5$A&ufSHINXNOUJ}~Jw^kYeQ|!ln&Y@n=E#ek@u>xR$R>SZK=HfMA)#im z5HYp>pLP*me4EYwRMmN(PUsx9YCkJifoN-CJLYUt-4XH(-L;3!}1~8L5sZ>vpGh+n4vUf;ShQl#^FQD}S@o z|J?ik**)e zO-W57?i@tRLHDlbC8>q{lIns%20Q~+D>2q)Vy& z(Av3B=QU4E&eXj)-R`dMRY|izw9XG}E;dUwuuLyuW>(#Ipv*3J`9Ys@P%=I`$u2>E zF@Y>+R_(qC+gk}|4)oU~meZ{QKDtJ0)#avuCqEAbv^r#@2eB&XfRd6T3B19y(C=q} z=$5x_qg31Mtjb4%uDu*G5FA80H$qisjGzo0R_zLrHL=P2vD~9q&$($DdF_B8-)to&FZRVip4bIlttAc9 z*5A4%bPE*W)|LpX6&h9E*xKSOI|e@+UhKE1ZMW0>1?JQn6)ds7^S)~ z6K*(5zI7))T=H#nq zz<8j@(n*6{*>AR6wuT8iJv{!p7ZG;(p%$~hofsP_PiQ4jTUu2)=ub~J!?bRHoZ5+{ zRe}I_h9E{wBEbufp6rW`Rub3Sz$c5q08FQb zD|-@wv^4V3=6jeil!ZR26SsZv(YNAoSo-Rts^Scu{(3FbL zH4fVGKdv?}Oxfc_IDyHvy1I@Qpf|#kJ~V(vT1$-dV@_}C#z1ryv|VqcjMPitKDc3gARR-0C!D1O<;55;wOpytU<;cd8}3S?#vbLl|imZGwh+a z?IO(zuSPT{o&gQjqeiFd&j7Q2@~MS$y_3dli+pv6TB@yWT8TDO?S1iDTlIEY!pl}T z^r@Q*&ly!fdg07gWbkEFCDM1>-CS!EJL(sMX{}^sA0d58T(PwJz$a$vTQw zTWfIzT6A?PJveGr8U+mBSoSUOdcr3!!9kdXmHf4>vx_=$x)YBdv@}~5xUzNyAnJKT zqusBP3)6QwQVUHE_uoaj9yYAF6C$(n!V}|THlt&tE1P8@i^UkY$XhBfGujhlUxf5K zKR$K>car*dfgMxjE7i=U1le!2z#2-d_33$qbqoPKE@S=^wG?wTTJz&I)w_$RAEp=M zKN7X;^yC$W1cxD+f$A`E5ed_QgAxz?2KM(I zK%Kz{IWz)yf`_5W9n;EZODJX(3!YPY5GI~`-jj9tiI;6(vv;4e$0UtX_ajvR2!7f= zh0fWi)o9N~*E|E(@HbVO4eYa3GMirESaz|v5t<2bxSa6VYS^V*0+I`nN7dRIXd9z3 zR5a$aZM=1KEK6$HuYFb;Pc@R?mlrRN2zkQ^B|uT}J3@e#s)M!~nq>sY_?ewb@jIgq z6ifC=4YnnXt4QcahcH4zL0t)YVR8MBdSBNTy!p2%I+kNbTAbsayi&^)b~ zy&x6|KgSl-EQGIz1c|8(VDgdfML+ZGPdv-dfJprk^mC`$i#PPi?sk|;HaxUrHIok0 z$y8<^Yf!udqh^_UG?_xV^t2*!Syi2(s7$!i{xdqfo^e$N3g1kGOckOEC8=|!WQnv* zg7!Q)aY`igwO6hT8F(xm3zNnLdBn{Hwk(dc{CQ&J*w~P&h-UT{(errcsg&5kpF~a7 zwFW*N*)29}X;yAk8~WzG)o9Gr2!?U9U0??5d1(^TQK83=!=9x_HtSU!T&iUzQ=swT zZSak07?M7keVP_}ecPRX9OC(Uf$YYARA!QIp>x7_e=r4oNsq3Ubv;JYPU&|jGhGI~ zbXh?JqP9*^xwQ|W(}A0kximO$aX7@bEr60N@WJ$Een#^?<&7=R-0yHo;t2tISV_t% zTW?uv-@Yq{^{%8$dcRzKTaULA?2RI?GF2heffWsk=p3lbC5&0Y)PyoFz`~h7YEiGk z2s)?$ez7QAc^ZLt-E-;1v6vVEN3)P#?{2=tsNwjZp87q=CT}M6kx1LWf^j8&xSt8Z zTM<{R>T7Y95^9D*#Mx7J8Uv{DQr4@&vP?4lGuyWKU*ER)51IXC;sO*!S4?Jf2dO1> zfo@(W{m|gm?45!113Sp-506Sjx;~9eDP;mKt86}_ap9Il_ggJQM_N_KIU!YkTx;bD zM9KE+X}7+;Ew*k^P`7C=+~wz6S{513{xCy(vxzqT*a0)3x7U+d2808+%j?%^>l#02<=e{Z z7S!xve_?^opSCx<8zEL$3vFDt6Kua5ye;yiJli1A)#5MZ0uBkpTIbxvD7@cw@|*tw zj@ZL{22|DMJQxg?oBWhYm*b3sR)5ZY0mgS=g-Sfu27a6^jLZ=?yz#w^K7ag9mW5Kz zsj%5=^?pRNER)gp(6?}jjQ>ytAl5PNDEOb@Coa5c2`2oB99aSl+b;PHBLXVW8|jar zmwd?@J~VP|cfl&YP}1VW`$Iyt4E4UQqWGh)gV|2STcXbf2Cj@>YCqf?tDYtwR&At{ zR^z9yt%fhidjJUIk&93$R2R6?KFDYNB6nH*%l}E7Y+7`mZ^yGz`m@oHT)lEAMva1z z&$@qXTy&nu`mYx{t(_|-?}#_i{>8hKc^&s3_gMVoRpcWrI=)0^GW>%USu&!L5MO$M zy{zqg21SmXFD564`Rw5oSaUB@U1mRw5FU#{`r$B21gAd3?HHrAo1=^?82Yx!Uctk$q~E?wzs|kKfd^ zVM^pyZgPv*;!H}x;{|^suzOcc-^^@y@M}7jJ{xVIwn^^$BgpHd=nn_RG8b30IZJd5 zMziun5P#Z&rM1pG)lA9k?S+Ki1bpbttZF(5(~;o_HAB8wzwcdLsQ#kxq({Gr`YAU; z(Tse`t6sz_y(dMpq|qA{6)tE9rq8@ITO^V?#?6YAEgj)@`O63tI`lR15X*qb_-N9M zgst_5u6Dm7t9)InoUXZ@m+0&n~uC|O<=`9J% zGRH{!BAqo0iIy*MVqc8ZBxbj+$&A;L)X#vrK)O?tgKE<%_m^N$*9A_o=Jw++Be?H# zRidP>RXZL_$88@x6>6M5C-2L$F!d+fSejrwRdNilm3ddB8LpISF_djz z+Yi{{gp1@r;q!Ipn zZO?!}1A6L6D}q#xiiHP>eVwtm5@z_N54AMDSHMbKp%NUxESUFHhTl@MquuhjilB|5 zssxAKzxUU0OlF$~vCBa|UPky%tujHXXLhljW0pqAwxX!m9*EiGcNsWg@Iho*$a;eCqlvF~w8XM~RWcJ$h(1ix|X z>sAOy3OC{oi^XW0yG>sLcu0#$vN*A9HS5V>w-8$0EXXMMKgs?UPE$(tqdKI|6jI{aRci1vaZ0 z&}8;)cq^93)*>!AL72)n@}{F)r+l6YZ1^4@HCw&CKrh_&qGhIuWtU*W8oALGEpa}d zIqY#vWpBQ6R9Bs-^PzZWz%qQvig2-_Vjo~v>zh%dBVfIk2@ZH)m z{y~j8=^Lm*K;Jp*8$1`Q&!1Ueq-_k>ZX>c;WIjaf5zuE2!{6QUV?dAgnpM`UFsqQ@ z(q-p0uEP5G*N}4Hn*$}nq_M58=L}7T;Jbs0K-x#IE#K#L)qVdz(#mg{S`XK zFMo0mDlWVXsU7vb>U$w6Gk8JnND?}_f;=tQyUt@ze#w#@=E};)XK48?k#lsm34)1W zR3?RCXdU^uq=+?W!Tjai!hFjI+HG3?f#EP{O(aQY2skYLpL2VJtP9OhwOV~@b#22+d*HglO66{>Bi6aii6y6hGn zyC6(wDzco~`K%RT0>J2|Lhs~ME0bbnSHh%@@&Iq5RmX#J6if8a76qo>p&VIO1Q32d zqD!k^i$>oNcN401IxPY|RbyJ`v2=h55p`tD_OrGKAg=zgF*cSohy!xtr!ZUm5RNQ@ zZ!fm?x-`*QvqfKzJ=n)cU1qaDx8H2?8SrY;D1>>7;aJO~>O&WW+m^<|%S7Uz|A6>u z;?rF1y?>VGMNV9XQCMRo3Jqt?a?GZhE=X{DXUD>F-Z|jXk)v+9lBK6$X-_H3lsyX# zdEB3tMV2tR=}_T(nuNKJAbBHFVlDnd&<09Rd@$0WQ+aZ#v5EaGT`D!QGJGukE8GI) zZHWil+#GKo;fItRVXN)Q?Uf@D1dc5%R4axMp|%kX9m4l}yks&&wYh&|n*A8|5?KhBXph7GhJe;p|Mv41&J2_~U_#*;;EDA@x2o>ta# zg4uq9+{E<47V#T?<; zgeVPLt8z-%Ub9SGJiM;)+KEc56srfC2+1b<@r=UOei5jIB`z;AslMe+hij!l_lai* zLS7x?al*g8*;%(2bwTvHnW@p}%xF@x=ICfP6Gn6n zm}}s-8jpzCu-1!1116vYc{>>FmK0wNxAN$cxCxw335+s~;?5o@Kae@4wN%1j}w4v`GH7V7lR8>^n<54XA6S`nfUOm&G7EM+|AeztMX*JaR219dW#)HuK< zSx7f7zm9}Mwg`I$_%%X7a>TsAG1btQoS0Cy4)amC^dVMC(m^Ti2ep>hu1bzB(l6qT%pE>Z1uquoUGx zeKdXcnh$q81AwqHnxCkxYx+}d(~HwTlH3bJA0+O0Uh8fB~xnF=%I+80Vo@P7;JaZ(C)Q*YUrE7F9T-{r`5Vw zIia^)qAAaeBEuDH#%SY_`1SJBAP0#l$A0@2m9vCjk zwwPj@D*q#nneZ+kt(}Dcpo`;IaG@ec#~?@Nu0VS@CwuY|1Ys|0x4`XXyIWK92U}p@ zgk9LaWLLlG-*R_1&p|h?cH#`9bYnp#95c%`1tuYf&n*_aX%FsY>7DM;9hPr;voJWlo!Z_>ZSn=}24iY)VenV-y9 z!!VsxUT=`oYTQG%s60xq=iGK>orV1V!tZMCX}cF4 z2iyW_E>?VJFixqC@$|3o`(n>C5;p!~fLyY5Z^RUGTqeHV&@1$uBP+N9DH5L&c<^`r z$kFbX^}@RS%{TLv(A;ZMFQvZ+R!;uENM^~2-bjr2I(WVYx0;%L$4_2&sk#X&G2LX{ zQUZs(!HV=Hwkg#;D{#(YiGxRq_$X7GS-XnYouqj0Z{$essB;O{e@k(&2;m~xC7dJw zJX>K#vO*rB5hKeH`w|KA99nQ=>kIwGmKPWf&_)MYP>kqsR9kL!-INOLu+Mlql5J9o z3-Ha0vMl~9uJH8^sw%0+*i2Yl&?}fNWKkqY_UY_Kv=^`9ZZsd*lb=Wf>s}~c*ajHp z^lkF7;^6r{ru0NLE&3;8@Sqeb7N1g_i_SJjHe=lm4pA?}}`*c?LLYyEzo4)N@dX zRbX%GPt^BCOxQIoFQbYl7c%TFv0(-@mToUK?)_kkj5y3z8>g>Xa%83q2CQ`Mo22*e za?xhQmD@=<_trUq!eFqiQ_<%1+m%0M7~F(TCM`t^X*;A}AMdx_5*T~hpFIOQm(Tl7 zrWV~#(GE4wRqkWkOXjW~)1-snJ>Q@I`TyrHG3WI-Caj`iE~EmakAGM@(h4=6F{0po2W2*;v%cx~ zxa*kJ47R!WTcUt06$NpC7ndj7PE#qt(&p-rC_(yDd)Fd~TF6vnIxjV;QQXhr-L<2a zsITB-q57FUJ~?{13((D|_QpZNcv8L>A#_NHrqt-(R`Ffkbu`aMk-xl5kDL^pi*3!* zjSb=TL(MYHd2Ga#np|B=A8?e&2aOu}vNhGH-{M%R(|FPYnQ`>w!n9-o4T`r5lF?X%|}7m-`S}#~CH9i7f#pR%dQ?ONob6?#ubQv!+4V`5XJ^ zx!25J+mbD?-w?de(JT>YMJVAZ$YZCTfcGF`H8FZjRxKa}+#-nOAUHjy)XuUfSDlIi z%D!&(t3kZ7lWWv-ol^;3be$m3rRsHi5LF2#gQY|xUibULtqPp4K~E*Zw#tf#?-1d& zi1SmeSx`3{f0gQfd9~F~Y}U8x(~uIpan#u|a!__yzLCY;8zGC^uXRCmHpZzXN+wJA zloto{IxMbl`&LySHCZbC)~sl*MIM*@OZwGWNf(diVKLz!Ys8E}1a2LUdLnCp?s&%N z6m80wk;oDNeN2j(jSn#(u|N$|{;=s8gNi1IrQ3~PuA?j9#`pag*;A=eRq0dl-Ku8n z1|x%1u&rMt)QGNKu+q z?~t&;!(jPiyk>_}JTtVlHE0emRWA$ApK2m*b1^LAiM;ugd+PtkOdxq%Jp)je?eLn8 zHd1XHD-JB_db{rsOgdAn^Z+>P?=2Uwo&g7q<{_M+dV0&?-k*wrRwm1f#et}CM$3zB zflNvFEcIfS=VFbiULuf`-D{X z9m6)>jq3{c)}_kw?v;$|L-{e$pF+nSTyZ{1%?ryA3VK;1tqyFH(&k&A23(HLANT$p zHS75TgZKb`-Phyfn{S%P(JNfC0CmYg>z~vPN)}v!8_e()E z-!Xa8$)ls|q-I~|FcIQrnfUq1FB#W?`*vzOLS!4&MoiW~f{a z`jiXAhbd1nZI_TOKD8iY)@8))@6*y;zn|5JGs6N^<+%{Dgl9O*-kN@`o=Yx zH!2q%WOj5E&0i$0&tx#nSs*F$X{5U6DKfcVV zbIGH9*-QYzKlE$*gtf{%icz^0i|43pB&TffAhkQO_p00~oh^dRQumtY{&y+=w^Lk8 z66Ck3Me(*r(XVU|VidSJUOA5T%v$hzH}J>k5HY{UYSJ;!BsG`Hud?ccx59$emnt?i zUQYZ@1~EOuK83FzYutnu<*jt8(e5|0@HpiLU7(ENSI2?2Zeh_%QT2|Nmnur(DTB;j zw|b~CCtFq>Tnc86_vH4|^Y?OQ9h0TRe0CUyUZ`!_j$ zX8*A})}$Lb#CxD(f4ipA9$dOG2P{ifc7;|s>^)wt^yQjdnPB`>6Q2O`CD&s0LcM}g z=(ROJ6VoCCn8X|n&G?G3rW@*Xo5X!BEO^bQwJ43c3*D#TP^N<^4B=I=nW`n? zZf~*)$*6wX6TRh@_wPqWpB!KPjRv8hxXg*nuRA_7i$_gY>Zw+rGda&qYaN%SZ7*Ud^Cr3BC5JmkpTt6P zKBX39Te6@iwP9kk+yKqJ+VSFRDzbC=oVk;!i7DUI{hHY)`>BB+!f78X!xC1QOIHB= z6H>Uz>AW|*jhy)YniY;K4Iyh-@=ru$5y%~TCkoOla*SL=#HZH#|TkJBc!s_!6DS=&2UyA#B8wfC1<>ZYuY#?Vw~X(y&!%R8U&0CDntd zTkaQ#+wWV5UGh$mR3(nzi8C~KjqoKg+iLbw{2+XabeZxnEwp#HV!hugkU{4@Huu;X zjnY)qQ8i;E^uFH`55g;s6J2t>wlM+M!PV!F<397WTC?AM9oAal)%s)@=SW26!Mwxu z)qYfOK0mCU&%V{Z$)L*rliLSd)(_>e?RGkjx2r=E`ZSHkk7Pc2JJ3GuduDC*;Vl)p z5wKVjdQ?FPjb0#YwhO~CtOD?jk(AsQz80Hz=V=zn25^CynX z3yAR9#5`nfE#t&OQARuY;^7mbTp&$2#+Lgf$07|4ctnxom z>+&UH79_NeB`8k7PRRASW6Us6n1QYQT&O9wmJ_TF1s-2+_e!9B|p znD9o=088a+S8?p*Vnzi$e}l@30*Tc%dId~@V~5oiGdj!IV!p8u;p*_NcnX9r9+jS@ z`8v4>Vt?~0TPsS64ZBrcu;xmkJ#vZ-1TM5xr1yb047vJ4iGa#|I*#V|TYsI}Ns;!cdouV0&8t=5b>VrlO|9BRep71b`FI2KjS(dVZF zhUNpe3~L7UHD1+d#`#o8{@ zNKTBVU)cm5DsYB25F#BSf$&?1zsWcUl;8DQVgz5O#HF}>9aHO1U+~~HWY6&X%U}B+ ziQ0B_wGPrd(#&crG1?anYH~lBO{2C;0G6`I2+rr(Bs=P!2mX=|FckYG_zT2aV3J%j zzbS?L2$vuRxuvTgNK5~$>!LU=)LC+m z!I|Sh8n2G{+7BetQ-H!*7A}w+Pr|Ixi%eImKCQvQGF&+`$H*c_id?_*GR)A$ij$lk z8CxLq5!+um(ZOoDpUHNBjs2Ek&}H0G4^`c2g{Q&}CzYmqn`$i8$P~k4AZz&3h5Xs; zpsfhW&_7^M%p0hkV-^)gnsKBRsN_V7`qJF)CG8fdBmhlFWJt0oHqhe+juW%Y)oa2?s7rReIF@`p`m63vRHAa{vhp`E)g{d#R2^AN*}r@ z*$HaNN>R`JyoXpgdAH_W!FCfRIgQ)V>94INYA3{xR~0&ih|_kHFl& z9}R`YwACapO-psLrTs{y)jbRy)?0>TYPjBcI+@O%!SoN#Ma6#LniG=M8MhvgsuRMg zr2VEGZ0w|L)Su?opc`vhtYTe)nrDz`kKkHD^x}fTsnbNbnj7~mbDQNwc4#>hFB#;2 z@f2Wi3ADPrsHc$U`KIXHbT_yecwA+0wwc*a$!t!d*C(5hw9`~|6XSSf8NnD*02*OF z6)9;|CA{I5mi>zJ{`;nh!_dMZVpw#oX9s~j6_~RiBWBJZ$gbZBI8{$`+CTV;pI?@jgLO=W5$9EZWyV;=`7t1G z7GaV^d+_YUc*mTQl2Kh*-vy3*e0Tc{s2%=4(Lx&JUv|U#{Ie#~Ts+Y(Bz42#GBSIS znl)#Bdl6sC0u2%KH-h`tLLQrsepXUH$rI0(EfrG4F^>;Q4Vn!V>N9bo@y5CB^j5emK6jjP(r#U<04H?GR_uY7-$0E^p- z&;&ZJ!;2jB+kXZS4Fk9pInM>}I+ozNo4k<16uI1%Ggmi|I=ZyrVzZRF)>Uqv0fuPo zDiizM%^KiQ_I}Ya`{IKIBD?wZ%4^BSj9*uLqM6YrS>)H2>%1b@q-V z0@pH~$hX(|TRE`t2?j>K+2oH~`-%UKtklyW`jEl4H=;GiiEh5@MVYAls2GVh@$Wn` zKH-T@RLr>mF&wDYSr2sOJrR?dix!H@M!Y*u2wOOa^zOZQN?*hrM!FH zEq!hG*EaV^EH|5F__5=9d|0NXTTC=eVyNn+VXZzufu$NT+ahmf810q>^IqIWi*H|B zu)D)<2y?vjp6lL5)Phzg@(Bt*wU~$zkSs(L^X(0iY{ukoQZff}3!lwT7)CxwgJR=8 zmPfTL+?y_GG&zrATPoC)f27^fH|WVuxXctCvAE-H+aKLlPC6@7?KSD}vLB+8Qkw@J$k zf+jpz0Kf=jhm{rB=-y+-VNUAI0$17Z`I0P$EJeV2;9n1z(M1T#sqj&XyKbm;B=R~Q z>BclU(1G0~s~sF2Mvaz?=HmKCvu3ijQ_}rjr813ui4Vbupj2{g;yPR_@<=d+wU^Ac zvfQHsW4F6l(abZhabzhgQsOn}o7G&Hq*rAt^hE0rpDMJbnqghH}$pP8x@p0!Va?{D|rL^ZC<-J4fC*n)Q%y7Eexw1YNc!JAc zBK6@t7`1ngEJ4RWc>B z{=`sZ+7lb%TGA%hO!96G<2B$7&CG#J(PvTnwKy1^a&vl4h#ojeCa`h1Kwy3ew+E)i zn@4W=5Q}M4Az@b9j6R*Q1zQe+)bz3#pO%`&=kL;g7_%*&TUWhLY+Kf_A!yg9dn3phMdw)0iT6T>8s8jU%LJc!8dcFNKnj_t>KZJR0onG!6nCb}u(#LYa|K38?5@K!Pah0SeDu)?yRV;6JH z`Z|I7V`RuzdCLpUsHt$iEAdvO!GMD31;0t)!h9{GZIc(6CpAv{mP&!UUW9(oOOP`f z6*%ySU*|GRWvBsfuiB#_!Jh`2Q;lzf)6qy%&zPP6QC+RWuoVx>lO{we>cH0Pj!)p+ zPxZEUI{+_amUnUQxQbzQaD_N3J8x=Hm4+0an3Q1n_aew!-)F@g)wBxZ8)CmUlj-R1 zUA-&@*2c_jv=iReDg{&Xc)&SkD8{ld(A}ZBF@3v&izk$e_u7+BbQGP!Yu215TV`A* zQ%KESwDOpoww~l7J6h2lqn17o7rcqbQbXevj%IXA3EK?+ST*osG5lLrK*nI3Us&F}wZ9xvTPmOXP z9@Y9rS%ET{v7QjLX~L#GGQREAtCUT)es1~kjbLh{1s0hdJYI%2c4NgFvpFNFy?N;R z14D3A-R59j$Jk110>LWL$!0?QT^UH0ivJmK1RtOW7@Aark?dW zRj)^q3+9J#8EN|6;j4H>WONA(O^Y?;LQ5I+(qKFS?;Rk%dIFMz2{xUL4u|1SRG_dE z19~ad3kFj=xlJ8klUs4nvnyqWKY{|KudIcvl5{(f_YC#KKYll?7B}Ml^(LA$iZNq5 zVT7J@d=6G6(ijbiXgC|7P5;i6O9NF_6?dSJLRbp=Vdf*~cCiij$VBRZ%weeN&_3g*m=XjL6vB^K!*chz;qVSpR5WRzJL#6-a3c4s4JU%^0#W$j zRik2*`jBCuLRwB=lIc|grLeRBdjkx&Uq+y+%z-$?DUwP?>EP@c6SD3JAz&4&pQwLJ z$}|^|D*h%L z_|tjL-xSK01;Z>`A{Kqq)d3I~8KDfN0ja6s@BuyWSp|B0wgp*9OBFX4oAgvUP<`cr ze*BI;Ag8-|vGFMXQ6&7^k5G5(7L2}b#_=51X` zFVZ#9H+E6>l#>;;uXS%1WKO=j?BlL*CUUK{{pNN|%(J*$NQiBC4Rh>3rYCs1(7a6y zc&lVV^F=!!aR4t03iYGHkhP;&_AKKW6}u^V!PN|IlQQu@pjp4t@~t$nuwzYWvC?5j zDv!${9@OmtNfso#WaOO-r=9ceGzM{C-0s+!%Jkpx#-0wPsqVq=*7VW$dx!UD zOQInJixe4TlS%F2!=b(D<#qwyt19^;?G_p{65~;F{ycXxPEdgIOx`skZx##P1 zKTK__*LO5{YNrx?YPecRO>FRnl$P*TqrJA5CT;~X-`UkowTZ(s&$m8)?Up3BQ$0DQ zdQ>Qh$tK{;I+B?(D0(`0N*Pu8RlBdAVW_Qv4XC@+{(>ImXX8=YmrBXk)@1yFY1B7@ z3jFIpn2?ozK!;$}$vRTtCVIjs7Ygkobo=B z$TDr2cXbA~3I^W%-BcQn$v#elOdz-~(Anni4nh`Ci!4Ei+hBM#{Yz0Dkdy=jvrDDs z&w4o$KM#jNguc`S|EsUB4vV_`_8q#B z0frj7q?86JX&6$PLAn$eN;~zibEm+HCa8}mQc z66N<+l0CKmV+#{FCGU(Se+R3U4eEeFt_pEwbDr`$YPX(79ny>Q{%nmr<&ccAXx3Z6 ztV~j)WYgNsm~$D-0eGEM_aD6jo893Qm#~76xPu0c!@65!)IweG!;^_*p>OI7HX`=m zi%mk510}WP(FEc2AH@YlDZCp`PfeJ8(LUw30%8*;$G>7XMz$mwm<{@sj^Eya<~a9g z1bzpc-;SJ*FB^83*u_#_mbF^fWbfRLQ-B-rQgzree*nPjtoYy=HYhWrd9rzk z)na6M(twoDh+6y$KFx~TknFGs4~BHXEOn29!b;VITY_AA<uEy?d>-h7i+j2l~X zu9ms%j^0q?jeFv{sH={zO5#Xp=KT#oA>rku+-$+G7EC%<>{jS~mG|-GsF~|pT4Z^G z>_#enFlO%46bz@JG{XWy+_pd2eNCO#m+-)ai5qjROPND@HeEh)h2>0`UrCkL`@MC& zc-#K@W%!R{x8K6Ny*wPwcK{CsO;o6lVoqQ6R``$uW8IMatonEj)=D~zJSsEbzH50_ zxYp6PPr*YC6Q>}N;b+Fo9k*p;lNNb~GghUYTy5x8V)Pc7KdTVfabK!yrx}jm6wR^Q z2O#3#4WlF|U|#IpxgkhVNMu8KY8~wi1qZcHe62;e^rTbN1^wgQRao;{0B40I7S)}c zy!Hi4S`swFT*Fu^$P%gAiPY|MsYIuNI^|}gw}+IyLfoZ917pKv3r`?~(31q~Pr&c* zP!hibf@+KG5X~2Geso$x3PERblyO@z1uv>0e7XCryR~0A@X&~i1)nDg91V)k{N{zC z^z4N;<}dt-d#RX13ij>eQU}@MftZdnD*`=)7`IL<-&AdTjuts0yNmDZOjfy zo}lP}?CVaz?F_!NMAK4srDd9Z<1Oyr&_n(rD<03TT~;b5^XY*hOf1@xzvaZrx@HRG zXwRZeu)`>|aK@YH{|YKvECu1lYKc^7cG*!u-PSjC=$~m=fSi+MoUr}KT@wkDfb(&+ zA03`ZGaNwx-ej>#=O;xx;@M+i?=j6KNy0s4(hq-oQ%4Ou8Ttt{`#{W$Keroq{$}|y zkbadl;yC@Hj>N}l{7p`D?&JLwm1Qa3N0Ka}0cW!GWuR5^*2?FFKgeAqc!IRLyAd&6 z5q|)5y4zyJJ;J$Az5ex?=z%PJ*QP#?Bhbj8hD_5cGFZ^VyUTqYa z!UZ@s8L=Fy#ZAdF;=exZZ&Z$;KQzp1+>%AJbmEP>rkoZM^v1-4E6oUu*BjWLO0Y+1 ziVL=4c`kY^`E|C1i1ac1KS#IaE{QaF;)${}0XTogI*%%e3in+L7z=8fK!sR`N2o~# z#Hws%d*WLx`>>3KmWMt!w<(N$9e=#=dq|~$#niquN*eK`DQ;O)!ii^rjP$x~`ZjRf z7O;yl?wsS&PeFP>)?cNYTQ%62=|-%QH#*F+5F(QL9B_`g+j|473?j700zjQ1@-m|8 z;+`>%T5^czxa6(;1p^{lGPbsiC(elW*D~tcH?t@FUgAKE>PQQK>zD=63GBsg3DVKz zC5V}BQ`zKko+MPeqb$w5Hk{>7Bu$7k0YVWDfU>rdeO}w-4y}?Dn!E`4l(T7my)DiJ zvKWK)Y=zLs@$`{K9qpNK3k^n39qp}o8%fIAhq+;+Zj0tr|qFom@1Wdn?1 zXxurpxA#sRd1u;`a++Vhw8Q{2FYK-*$NHf$mipl*_bujJEM(ER0gNoGiWRP)Ncpla=~!kQn2Up_(lO>6YDQyX43^m=EG6CJufyuGO8E3 z@PcGjoYBhAYPTg%`PWx7brKB6Ml9S{Q@!{DD8Mo$)<>Z6I>J|>8^HzH5?Qv5CNH#K zrUIxB=a1^;BFk~IyPoCMH{5&drSvX@OKu*k>VA4R)QeQ-9(4WW* zU-{XM3DS1%50t0zw51A~oXnUoh<$)Fu3v|K>4KBG3tq;Y4*Etu3ww_x65~val!-!s z=(*q#Y25_7Ri@nvnA-B;R~elE7>HG6y{gl`yhT?T>Y#))LvhRKzY@ETDRqGpd+yMO z8Th4#W~DfwZA|9H&}3{*9}@Sb+97QZ`e9vU;@z^)M@y}IoXLHU*`knBY&@zxl2bvW z&1I4FjJbRaCT%mOpa6%#9x<&^ck=qQ$RU_jt-SaX&1VfW_@U8$>0#9u7D705+Bl-| zt!Xz8s!muxJgPGi2BPmWh==z?>{J=YiH(@O;aTi(UI~)Ba|%5r9!rU5ee|a7mQj^S z!uLh9kj8L?naO%Ao3mJj=UjE%3(BP94TsabqJk6F` zzjS$11~h22@QD7+Pam5SYD~ZQ^V(20z_8LOS{ai zAKhDn-lPg$EaJu*valM$Q}T7*bL$hdnF;(NiHyzpfuN)D69xAeVL`(DRn4aU{nJT_<)LyQ%i#xcMzUwr~MThj``fy@OqUI5X693J#is%l(& z0a@PH`ISqnGnK5$tc%E;ywETYa5_=JBjD;POUN20FQ-K_Kgs4K-@Vjg$oT*s@H6~9 z&Yhy_8sjb&Xp^KVq)vzZC3+hL+qQRYo)&TptcH=%UuL+AljPWy?xVc-zL`A{@f1u1 zfYO>P$i31<6*!PBo5$Fn;9s!+;7@akOfuv$%<>Ow>I^)8)r-zTt(v<#N*8P7*Nn2WvJTn7&y4DvV2F;R?QMzO)@No@7X)`P5;x|j z$+qQ3>qCDErxz|4*JS8j=Q8dT$*{Z5AtRH7E%SXN&?02!6hAHF8QsS{yJ_hUL>J%` zkMsRM2XC*RxiearpzlRNd8gUI=RUjgq*utqwhbPV!}lSs{yBU(@l|@g9&1LaU9r*_S%*?=xZlf`r*TmoBwyhoKBfGGHOQ3Z0yhp`t%T0cVdsi zhdszK-V8s3kfAg3%u*mzwV&7LleY<7LjufMwo%hiW`sQx>dV>W8pR?)!MGLYcOFN1 zG_ELUMff?s7>v}k6G8qZLEDI*oc3Z~+B5PT#UjGV>p3%i(xk2Fh|G#{q;GO{cpU%i zks1!s;+F_(j^ATR@tY^l{}ST?>o1@lh=~W8i1~kEJGM;j_{dk4?b7u7t9wbSV}||J zcc<~)_?D&9ezyZ5e*H$3LN_aUZRZRQqz5GLd1hES|_jcpx zP(3xGa4qQr(y4y2k6jFMeLk;pEM6@q3ITTnvJ?x{mL~#)I0vbJ*05u=+v0nu z^Slu^6DUla&L5bEurS?mkyB_8ASa59sQtnOIV7ttm!PDAqbff)6CN;U7?pE^>y&u+ zrJ3kDhn_Omihto8!w|331%K%%Zl6^!pru(v^7!2iB>%*cNMvj*l2$W!%Wc^$9ashL zH5_$s1n?X7l{U%ir{fA}^DHWtJU5ybx!tX7Zml=FGUif zicgu$jqCTFvE#%R46fYE2^``=$7umi9(u0?@M)iyE)5>tR%5iBr?sG7_?kDS6=`mX$D5R8)&yFS3ENk@`gourdywjE*`yPKF zdo)ePBKXKT6~CA?hb-SV1p*qRYraq2La_rDCQ#rcd`%jt!iIBqsznyFzKfszI0V;e zk6*1?W;NB|*`5!lBpRM1E`wGy=K>Pbm|j+J)w5NQ!dqAOUZ~?!Ygnc?m8DWA#jtQH zjUh((?$;pU>@cRYJ0Zgb4eM{}wBtqHs!M)1j@>{WA@n=dI3;71B={TZKKza0`q(m> zFnnr92ya)Ku7!Ck5=JK5{9nW4_JjN+xGT?-YIeIWJB4Sr*Mg5OwLT>7Gd{?xIr|T2 z;`*ESE7{n_mXf+_h_h7=kG+Guqom`^YtlSh`8(|}2rjyJ?ugXP6yME%9vaWunWeaKx5tmAe_JJ(M65LhDr_qk zX5JO8x8$)hRx6`hBl#_iYYlPy2e1kCcF|R*pPHI)U+R&E@$-e$Z9Z!KyN@4ES(Wfz zsF`M2xzqs*VkV#hUt(i4zb;9sP{gKQ<^C^L8|^*TNPC|9zBYF#UZrBQN?jFz=Vt&$ z+%IPriZWw4v1*_Rlt&W(=oajlQT3_xyIjM~gk<2Z((Vl$lvvKM<6RS7?)!Otyk;XZ$E0oJ_ zwMa*O zi$1RE6XL3_X#FS+ruEm^NQwGe?W243)42xHqHekUFS!}|b^ef_ff{i}IZ=sCM`+x= z=i$jdR@Bxqoum56TDdlYHxD3uuTVqDLj*R2ONX6(Ps`$Bofm{mnq*tEU=h?NQCVyt zP`Q@U52NZ8bEd3j<_S^vkOi(3Fcv~(-6#IyIRR8@{rz9}=M;pUc%$scyw}DEfxcQA zZVp<^)J^IioMQd)72!Ky*c#RhQ@9J>@l~@v&P^H9)ewM}>&aBjC3B$5zFiC^C_yIc zJev8tvtzX=k>1?3uf?#w3ZKfR{~l1y>b~W-5QMUB4i12cEtWO?9!l=JW|p1NxS@UR zFM0bfY}{y6F~o%iP)Da)g8Fbj?ipjAucMjKirqAdCUNnSRT9{6%(x*8A z4)STPYXy*EjeU>^qSk>D&Kb6L(&lQ~yAwwu&1JE^hWd)?#!`NQb;1-tXn|XdaliDW zX&1*ix7TkS)I%Mn#T@uRS$|Iv70bI7vCCGPe5sM3rh|oRVkG`=Hn2zYCTIWyJG=`) z1;)*k%Lq{e%v{ug?VLY-K9#v0=P1C2L?5Nl+Kt)koqHj$_Hk}Ug0ps>1*Ms(#or5E z)fCkPYI8)>+r!#PFLgO(pMyDw`m~A#xxpZ* z_;^hQqJdkxWzIccWeMvp;*surX=uQlj+E+)Ym1eQ*DK8EMZDho=(HMFMba{{$4JCA zm5S}Eh0Kc9jiw&uYpGd&S=#jnKt&ew#taYrWA4);cNT+=^d1dO$57UiftDe=X(cB| zkN;1WRD8`GsI84JcZ_NEsb1vB7g~G@&ns?N~1TtJA1EU)IHJPWi&d^qUE<`+uQfl|5eTKsIb3 zi=NnAWy`cbx%pe7ee(gLP&~AVFJ0b38+ADqZ>>yMo+JywSq^&q#P{LRZ5-tCPpaod zZrX)UjT?hs?op^u{ibz=parWcdL^|?(elY@f)_?sj-zL5Zs#3)E}^AhABl#`sHcATf`7q&t5lh*qZ4T}E}$6WoEuT~ zw#cT0p_)zI@aKDQw#WOnzxGXh9Q9huuShd`D<~E6E#86np|~iA6cd#Z)oBH@aDC{M zNg)BcBtT9x699cA;$u@J+bXcYP4v;I;YQPF26$4$STGVYKJ1lZJYa%V`sET`&kP_% z#Tg_%Or82p0GvqtZb+;$sok@pI|L0nEzl}sb7R}MM})nejwbxrQWvI(q;gsh=OB#W zWQ%Emrj1d3lm@?2Y1(3_GRj*73CkBbqq{$~%8u^GJd))SF`a>BoxLpj18C5-(X3nq zIt6Ao2ncD$DX4;YzCrg0Y?WeKbnn>7#~`1XQVmO+&fZLu84m##s;@?y32>V2bEfss zc2d@NRR~^-JRh1Cym+gOWm%V|=;FCuKdD*5-DfHP&k>*7WNTw>VnNm*ohRoxLZ5$|!M_n7b;4aA=&^##rVomBq-3KdyRv{|D;Lu{=Lk@4IiAln{rnZh5ykTZ8& zO>3;fU12uLYNtTsE*Xy2Zf#C+;l+67DcXCT@o%?uhR#jUPYT;4Ehxp9b!0C!?}8VU zD;?fghIPLbHXGvgN@I(SnBdrzpo*?``?PKREz_6ufjgSsu-%ytyxXA{7KH2W5(wuV zQfk!5NrCL4@3Kp85{;9vTbT2+_!S$qF$%T_~v3RylUKG{S_kvo40@2b1ycmxm-=r$y281n1HVpZRnRu47N+O6rfhw_U^)KQZ{fA` zo?q&lGn_(vnTQrsi8bCczjBN7J#Ui#eFd~Bo4XSC+(j~Yp}2P~>DRjAV7JfuU)pan z%tRGrpm!cxe`5abvh`qcd`{NePg!%bQNMj9)V-v;Jh6_>fygoG?3#y71I@scOaL`u z5@(Pv>)ZMs+2E&q{qjnP9aeyAD$!6`-s@lUt!QXi6D!!z@k|&GziQWSWY%NtM7U3e zGsWw#wB!TftndD@<9qHMWU6e87W(F#Kp+em-=<1pn5CAEqDBbv@!F#_9XMT=qf@V% z-gCYA2yc|1;&|I$p4)nna{+e@dFw?!Z*O<5q*nOdGpRLqF6U%sn$P2Sf;V*Gbhpau z#ks1)KWiC5$RG=RBHOMZW!H)fgzG9eYqvvJBisi2oAp`pgYVU}ADR?U@5-hKa=yG8 zsQkRWrqZYmr_9V|X-L6=AJGc6srVhpR2 z?xIVVqmZ*16q3|6$RGGeT73T44~qbpD!0Tt$Sb8*YN&bIKfk@*&i(p7ht4d$Y0F8_ z3g-U4D^DXKpXI91Rs2Aj3vg)Db($de&}GMC--6h2YD8_Dy}oh9$a5TE;Tq<97f(8^ zn?cEATics!z(-A5@E15x?f@9LI|ZW= z2Nt$fRaKO&8ZZ=Y7hMf0d@4ioJ!|EF>phRogJ!$c7Z{VdOL?q5jWCCrZJ zsasqdUj176y$ooQWHZ~ch|;SBwd5r8%nj1g<|HzwAB3|pZ_l7Pw@fK4WU2lD0_7#K zxvxq!DC@-}AYE&$KsVd3SU4O`S6LG5RH~Al=T?rI6bg z!op(u!&vqp2KrQ!vZ|uekIBuqEWs*!4N$1ocFvx#L*HmkYIIep?Go&IhT(r>g~j7m z&65OQgA&|U7wI*M6LPv%m?l2~sZTP~pBp>~R3MeB@G-sOoXVgLDVluRaA!%I6qmE> zXuD%vPMzmdbp{syEV3VFIM9#o>Pdm3PzciqlSApb76w_5X8s2W_e``{Vs zm|?b?!=iReB==lPLr%GQqL7UNYSYV-oo^yNX9O+1UXEsdMxnW-s&I!W~?fLodF1Bbw@4A zXqhN5ym6l!_S0PIdp*E1k1SX_$vqMuX9#jAM@SfGHOKewH8d8V;MwHi2lN$7D8cmY z$neDF{(0mPswq3-6c%~!zQ;=>%VvzhgY(8I6f>K_m&{bvAOB`C*;FQ7oTHc*;j`K4 zI-C5tV=LNH&qb!1Q1l|I7*M_mBzCIzBOBX}+vm_s``2|V$d)u5$&iVySdct_+R}xd(aoe@No@G)6wqL2YI*Mt0iB;VgGRj5W_eI z9Y4mU$7CJKDdwPGR+uW*_Rs6INs1$hjUOemb_X;WMm!B>6)o|~rJ7@N%PU09p1I3H z2eHaCGFSBq*@gFy3+M>p&yfcNAr-yRBrS<4dgHTzNfk60;KEic7|%5n_!F?|ThnR~f#4$6NPG*)^o(H3mQ zw047izrdFNVNk$x#-+O{z%b$dk6!Y{wem3W8o~rw`nmC%JucHl*&hN()uqFG44T&y z`lQ^;@WQG0vcolXK29=t6A0zm(chXUzi6?B^ia_VCdr~&n%Je_dyRBv^>~P&7e1j`zakq-K)~4c8 z-~?ZIn7GEB$n2ZjpSf37w<9QXF~I&;kCI4H={DB*K>8Tc;09V9S>ApA*W)V>?saZ3 zcHu}CQ(RF0;4^Bv!?xz!q1tIF=y-4-ILBgc#Zib4%k&lRi*kxjZ?Psh-Lxr+N!J>n zHGd>CUqhf5;`_Y-7v%YA`J66>AO*OMijZmRd+@ZtsleRKrVb1cY^XWFIQ=g815j1p zIQT069T|kUP-+~W+yB95|D6{vZUF(~a1|gg1Q0Jvg_}j<;CwV9HG0#u;X!Sl2m4cH zjU5lug0WA};8+XR6{m$mD(7vR?F@{@0Z>|0oE(2)@pn^`!&tZJZW@X}n|n5z>kUQj zAcE`aR52|hM@x9tR1w}ggZb^w!pbSjyYu+RL!+{CkeLhMe{B>K#yo217Ue8h!6a1` zL*fWpt@aX20WsCe^{0R;C^x(6EVj5Yb=Z5_Jff~nd|AzH49Z?=V~%DqUmPE06ffM@ z{(tNnmS?!Y`DHb?aLbcMLBJf`h^A@J1#H}!9L<~IKs@eoN5h1f({tv~i{0y2%D{zv zn->s<#nyEqJlKWq8M_23G}6H6M8aLG*4sP?P~UXtfuSQo`cDVAM&>W>lP=6nyAn>Z zOM43ya%9B9^AZL43*omwMpXBD{Jo9hqVtxd=brS;4=wMmDyZdkaNzN1iXV*J?KGDW^+!RZAQu}TB%ACx_QCM!vnZ$ z^Sc;9uVNQid{c)ui<`Xsyg?5@(RiapILp^8JrE2#;j|m_=VV-4Xz0_>6KXd8wc# z{3w;GuV!51>w*kBA`P`hwh|+QR!naqG=Z68*a@B8QciuY>5No|flr{6(m#*&ARw(} p5#=9YH#d_3|J#jae_Kk|{B7clkB6rW(0TX&c>;IY+21E-{||J_EffF% From 52a6c165fedbd5ff4115661938966c29eeeb6cf3 Mon Sep 17 00:00:00 2001 From: Waleed Latif Date: Tue, 20 Oct 2026 16:31:45 -0700 Subject: [PATCH 3/3] fix(library): use Lindy's default plan price in n8n alternatives --- apps/sim/content/library/n8n-alternatives/index.mdx | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/apps/sim/content/library/n8n-alternatives/index.mdx b/apps/sim/content/library/n8n-alternatives/index.mdx index 9b38fbabd69..5cb66cf4918 100644 --- a/apps/sim/content/library/n8n-alternatives/index.mdx +++ b/apps/sim/content/library/n8n-alternatives/index.mdx @@ -343,7 +343,7 @@ Lindy fits teams that want ready-made agents for defined email, meeting, and sal **Best for:** Less technical teams that want agents for email triage, meeting scheduling, and sales outreach with minimal setup. -**Pricing:** [Lindy](https://www.lindy.ai/pricing) starts new users with $50 in free credits that last 7 days, then paid usage starts at $29.99 per user per month for 3,000 credits, with larger credit tiers such as 5,000 credits for $49.99. Lindy's [billing docs](https://docs.lindy.ai/teammate/lindy-teammate-billing) describe seat-based Plus, Pro, and Max plans instead. +**Pricing:** [Lindy](https://www.lindy.ai/pricing) starts new users with $50 in free credits that last 7 days, then bills every active user from $49.99 a month for 5,000 credits each; Lindy is also testing a $29.99, 3,000-credit entry tier with some visitors, and its [billing docs](https://docs.lindy.ai/teammate/lindy-teammate-billing) describe seat-based Plus, Pro, and Max plans. **Strengths:** @@ -372,7 +372,7 @@ The list is ordered for AI agent workflows, set by the publisher; it is not a ve | 9 | Botpress | Chat and voice agents | Proprietary; managed | $150/mo billed annually | | 10 | Workato | Governed enterprise integration | Proprietary; managed | $75/mo | | 11 | Gumloop | Hosted AI agents for non-developers | Proprietary; cloud only | $37/mo | -| 12 | Lindy | Template-led business agents | Proprietary; cloud only | $29.99/user/mo | +| 12 | Lindy | Template-led business agents | Proprietary; cloud only | $49.99/user/mo | ## How do n8n and Sim compare on licensing and pricing?