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.
A TypeScript-based framework allowing developers to build and publish custom integrations as NPM packages.
Verified feedback from the global deployment network.
Post queries, share implementation strategies, and help other users.
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.
Manually researching and writing blog posts is time-consuming and inconsistent.
Registry Updated:2/7/2026
Post to WordPress and Slack.
Urgent tickets getting lost in the noise of general support channels.
Discrepancy between Shopify stock levels and internal ERP systems.