Activepieces

Open-source automation platform with a clean editor and AI pieces

AI Agents & AutomationFree planOverseasβ˜…β˜…β˜…β˜…β˜† 4.0

What is Activepieces?

Activepieces is an open-source automation tool built around a straightforward visual editor and a piece-based integration model. Pieces are published as npm packages, so anyone can write and share a connector, which keeps the library growing without a gatekeeper. It self-hosts easily, offers a managed cloud, and includes AI steps and agent-like flows alongside ordinary triggers and actions. Teams usually choose it over larger platforms for the licensing, the self-hosting story and an interface that non-technical staff can follow without training.

Last updated: 2026-09-20. This site only provides an index; for exact features, pricing, and licensing, see the official website.

Key features

  • Open-source visual automation with branching and loops
  • Pieces published as npm packages for custom integrations
  • AI steps and agent flows using common model providers
  • Self-hosting via Docker plus a managed cloud option
  • Webhook, schedule, form and manual run triggers
  • Human-in-the-loop approval steps inside a flow

Pros & cons

Strengths

  • Open source with a permissive licence and easy self-hosting
  • Editor is simpler to learn than most rivals
  • Custom pieces mean you are not blocked by a missing connector

Watch out for

  • Smaller integration catalogue than the market leaders
  • Enterprise governance features are less mature
  • Complex flows still favour an engineering mindset

Best for & use cases

small teams, self-hosted automation, internal tools and ai-assisted workflows

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FAQ

Is Activepieces genuinely open source?

Yes, the core platform is open source and can be self-hosted. That removes per-task pricing for teams willing to run it, and it lets you audit how flows and credentials are handled.

How does it compare with Zapier?

It has fewer ready-made integrations but a friendlier licensing model and simpler self-hosting. Writing your own piece is realistic, so gaps in the catalogue are less of a dead end.

Can it build AI agents?

It supports AI steps and agent-style flows alongside standard automation, so a workflow can call a model and then act on the result in connected services.