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Activepieces is an open-source workflow automation platform that serves as a modern alternative to Zapier and Make with a focus on AI agent capabilities and unlimited execution runs. The platform lets you build automated workflows connecting your apps and services through a visual drag-and-drop builder while offering the unique ability to self-host the entire platform on your own infrastructure for complete data sovereignty and zero per-execution costs.
What differentiates Activepieces from Zapier, Make, or even n8n is its combination of open-source transparency, AI-native agent capabilities, and an unlimited runs pricing model. While Zapier charges per task and Make charges per operation, Activepieces cloud pricing is based on the number of active flows rather than execution volume, meaning a workflow that runs thousands of times per month costs the same as one that runs once. The platform also stands out with its built-in AI agent and MCP (Model Context Protocol) server support, allowing you to build intelligent automation workflows that use LLMs to make decisions, process unstructured data, and interact with tools autonomously. The MIT-licensed community edition can be self-hosted with Docker in minutes, giving technically capable teams unlimited everything at no software cost.
Key Features: Visual workflow builder with drag-and-drop canvas for designing multi-step automations with branching logic and loops and error handling, AI agents built directly into the automation platform with support for creating autonomous agents that can reason and take actions across your connected services, MCP server support allowing AI agents to discover and use your workflow automation tools and integrations as capabilities, 270 plus native integrations called Pieces covering popular services like Gmail and Slack and Notion and Google Sheets and HubSpot and Shopify and databases and webhooks, unlimited execution runs on all plans meaning your workflows can run as many times as needed without per-execution charges, self-hostable community edition under MIT license that can be deployed via Docker on your own servers for complete data privacy and zero software costs, code pieces for writing custom JavaScript or TypeScript logic within workflows when pre-built integrations do not cover your use case, webhook triggers for receiving data from any external service and starting workflows in real-time, tables feature providing built-in data storage within the platform for tracking state and storing processed data without needing an external database, team collaboration with personal and team projects and piece access controls and global connections for shared credentials, audit logs and governance features for enterprise compliance requirements, and an active open-source community with 270 plus contributors building new integrations and features.
Pricing: Activepieces offers a usage-based Standard plan that is free for the first 10 active flows and then costs $5 per active flow per month with unlimited runs included on every flow. The Unlimited plan offers an annual contract with custom pricing and adds enterprise features like team and personal projects, piece access controls, global connections, custom RBAC, SSO, and audit logs. The open-source Community Edition is completely free and MIT-licensed for self-hosting with core features and unlimited everything. All plans include unlimited execution runs, AI agents, unlimited MCP servers, unlimited tables, and community support.
Use Cases: Technical founders and startups that want powerful workflow automation without per-task fees eating into margins as their automations scale to thousands of daily runs, AI-forward teams building autonomous agent workflows that need a platform supporting MCP servers and LLM integration natively within automation pipelines rather than as bolted-on features, privacy-conscious organizations in healthcare or finance or government that need to self-host their automation infrastructure on their own servers to comply with data residency and security requirements, small businesses currently paying hundreds per month on Zapier that want to dramatically reduce automation costs by switching to a per-flow pricing model or self-hosting entirely, developers who want an open-source automation platform they can extend with custom code and contribute to rather than being locked into a proprietary vendor, and agencies building automation solutions for clients who benefit from self-hosting to avoid per-client per-task costs that scale linearly with client volume.
About
Activepieces is an open-source workflow automation platform that serves as a modern alternative to Zapier and Make with a focus on AI agent capabilities and unlimited execution runs. The platform lets you build automated workflows connecting your apps and services through a visual drag-and-drop builder while offering the unique ability to self-host the entire platform on your own infrastructure for complete data sovereignty and zero per-execution costs.
What differentiates Activepieces from Zapier, Make, or even n8n is its combination of open-source transparency, AI-native agent capabilities, and an unlimited runs pricing model. While Zapier charges per task and Make charges per operation, Activepieces cloud pricing is based on the number of active flows rather than execution volume, meaning a workflow that runs thousands of times per month costs the same as one that runs once. The platform also stands out with its built-in AI agent and MCP (Model Context Protocol) server support, allowing you to build intelligent automation workflows that use LLMs to make decisions, process unstructured data, and interact with tools autonomously. The MIT-licensed community edition can be self-hosted with Docker in minutes, giving technically capable teams unlimited everything at no software cost.
Key Features: Visual workflow builder with drag-and-drop canvas for designing multi-step automations with branching logic and loops and error handling, AI agents built directly into the automation platform with support for creating autonomous agents that can reason and take actions across your connected services, MCP server support allowing AI agents to discover and use your workflow automation tools and integrations as capabilities, 270 plus native integrations called Pieces covering popular services like Gmail and Slack and Notion and Google Sheets and HubSpot and Shopify and databases and webhooks, unlimited execution runs on all plans meaning your workflows can run as many times as needed without per-execution charges, self-hostable community edition under MIT license that can be deployed via Docker on your own servers for complete data privacy and zero software costs, code pieces for writing custom JavaScript or TypeScript logic within workflows when pre-built integrations do not cover your use case, webhook triggers for receiving data from any external service and starting workflows in real-time, tables feature providing built-in data storage within the platform for tracking state and storing processed data without needing an external database, team collaboration with personal and team projects and piece access controls and global connections for shared credentials, audit logs and governance features for enterprise compliance requirements, and an active open-source community with 270 plus contributors building new integrations and features.
Pricing: Activepieces offers a usage-based Standard plan that is free for the first 10 active flows and then costs $5 per active flow per month with unlimited runs included on every flow. The Unlimited plan offers an annual contract with custom pricing and adds enterprise features like team and personal projects, piece access controls, global connections, custom RBAC, SSO, and audit logs. The open-source Community Edition is completely free and MIT-licensed for self-hosting with core features and unlimited everything. All plans include unlimited execution runs, AI agents, unlimited MCP servers, unlimited tables, and community support.
Use Cases: Technical founders and startups that want powerful workflow automation without per-task fees eating into margins as their automations scale to thousands of daily runs, AI-forward teams building autonomous agent workflows that need a platform supporting MCP servers and LLM integration natively within automation pipelines rather than as bolted-on features, privacy-conscious organizations in healthcare or finance or government that need to self-host their automation infrastructure on their own servers to comply with data residency and security requirements, small businesses currently paying hundreds per month on Zapier that want to dramatically reduce automation costs by switching to a per-flow pricing model or self-hosting entirely, developers who want an open-source automation platform they can extend with custom code and contribute to rather than being locked into a proprietary vendor, and agencies building automation solutions for clients who benefit from self-hosting to avoid per-client per-task costs that scale linearly with client volume.