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Basic Information

Activepieces is an open-source, extensible AI automation platform positioned as an alternative to Zapier. The repository provides a type-safe pieces framework written in TypeScript where integrations are implemented as npm-packaged pieces. Contributed pieces are exposed as MCP servers that can be used by LLMs and agent tools such as Claude Desktop, Cursor and Windsurf. The project includes a visual no-code flow builder for non-technical users and developer tooling for creating, testing and publishing custom pieces. The codebase, documentation and contributor guides in this repo support local development with hot reloading, publishing to npm, and self-hosted deployments so teams can customize branding, control security and run automations on private infrastructure.

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Features
Visual builder capabilities include loops, branches, auto retries, HTTP actions, code steps using npm and fully versioned flows. AI-first features include native AI pieces, an AI SDK and a Copilot assistant to help build flows. Human-in-the-loop support and human input interfaces such as chat and form triggers are provided. The TypeScript pieces framework supports hot reloading for local development. The ecosystem contains hundreds of integrations and pieces; the README references over 200 supported integrations and lists 280+ pieces available as MCPs. The project provides templates, translations, contributor guides and both an MIT-licensed community edition and enterprise features under a commercial license.
Use Cases
Activepieces helps organizations automate workflows by combining prebuilt and custom integrations into reusable, versioned flows that both developers and non-technical users can use. Developers get a type-safe SDK, npm packaging and hot reloading to build and publish integrations, while business users can assemble automations in the no-code builder with Copilot assistance. Self-hosting and network-gapped deployment options address enterprise security and data control. Exposing pieces as MCP servers enables LLM-driven agents and AI workflows. Community contributions, documentation and templates accelerate adding new services, localization and operational controls such as approvals and delayed execution.

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