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The premier no-code platform for automating legal, HR, and compliance service delivery workflows.

The open-source standard for AI-first workflow automation and embedded orchestration.

ActivePieces is a modern, AI-centric workflow automation engine architected as an open-source alternative to Zapier and Make. Built on a modular TypeScript-based framework (the 'Pieces' framework), it offers a highly extensible environment where developers can contribute custom connectors while non-technical users leverage a visual drag-and-drop builder. In the 2026 market, ActivePieces positions itself as the preferred choice for privacy-conscious enterprises and SaaS vendors who require embeddable automation (PaaS). Its technical architecture is designed to handle complex asynchronous tasks, featuring a robust retry mechanism, version control via Git-Sync, and a dedicated AI Piece that streamlines LLM integration (OpenAI, Anthropic, and Local models). Unlike proprietary competitors, ActivePieces enables full self-hosting via Docker or Kubernetes, ensuring data residency and compliance. The platform's 'AI-First' approach includes native features for prompt engineering within flows, making it a critical component for businesses looking to automate RAG (Retrieval-Augmented Generation) pipelines and autonomous agentic workflows.
ActivePieces is a modern, AI-centric workflow automation engine architected as an open-source alternative to Zapier and Make.
Explore all tools that specialize in automate workflows. This domain focus ensures ActivePieces delivers optimized results for this specific requirement.
Explore all tools that specialize in data synchronization. This domain focus ensures ActivePieces delivers optimized results for this specific requirement.
A TypeScript-based framework allowing developers to build and publish custom integrations as NPM packages.
Expose the ActivePieces workflow builder inside your own SaaS application for end-user automations.
Inline execution of Node.js code with access to common NPM packages within any workflow step.
First-class support for OpenAI, Anthropic, and Pinecone for building RAG pipelines.
Synchronize workflow definitions with GitHub/GitLab for CI/CD and production staging.
Deployable on-premise or in private clouds via Docker/Kubernetes.
Define global or step-specific error catchers to redirect failed flows into recovery paths.
Sign up for ActivePieces Cloud or deploy via Docker using 'docker compose up'.
Initialize a new Project or Organization via the dashboard.
Access the 'Pieces' library to select a trigger (e.g., Webhook, Schedule, or App-specific event).
Configure API credentials using the secure 'Connections' vault.
Add logic steps using the visual builder for branching and looping.
Insert an 'AI Piece' to process data using LLMs like GPT-4o or Claude 3.5.
Write custom TypeScript code snippets directly in the browser if complex logic is required.
Perform a dry run using the 'Test Flow' button to inspect JSON payloads at each step.
Enable 'Git-Sync' to version control your workflows and push to a repository.
Activate the flow and monitor execution history via the 'Runs' tab.
All Set
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Verified feedback from other users.
"Users praise the open-source nature and developer-first approach, though some note the library of 'pieces' is still smaller than Zapier's."
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