Activepieces
Activepieces is an open-source workflow automation tool that lets users connect apps and automate tasks through a visual, no-code builder, positioned as a self-hostable alternative to platforms like Zapier.
Definition
Activepieces is an open-source workflow automation tool that lets users connect apps and automate tasks through a visual, no-code builder, positioned as a self-hostable alternative to platforms like Zapier.
Overview
Activepieces follows the now-familiar trigger-and-action automation model popularized by tools like Zapier: a workflow (called a "flow") starts with a trigger — a new row in a spreadsheet, an incoming webhook, a form submission — and then runs a sequence of actions across connected apps. What distinguishes it is that it's fully open source, so teams can self-host it on their own infrastructure instead of relying solely on a vendor's cloud, which matters for organizations with data-residency or compliance requirements. Each integration in Activepieces is built as an independent "piece," a plugin-style module that defines the triggers and actions available for a given app, and the project accepts community-contributed pieces, which has helped it grow its library of supported integrations relatively quickly for an open-source tool. It also supports custom code steps for logic that doesn't fit a pre-built action, and increasingly includes AI-related building blocks for calling language models as part of a flow. Because it can be deployed via Docker or Kubernetes alongside a company's other self-hosted tools, Activepieces tends to appeal to engineering-minded teams and organizations already running open-source infrastructure who want automation without vendor lock-in, rather than to non-technical marketers looking for the largest possible integration marketplace.
Key Features
- Open-source, self-hostable workflow automation engine
- Visual no-code flow builder with triggers and multi-step actions
- Plugin-based "pieces" architecture for community-built integrations
- Custom code steps for logic outside pre-built actions
- Docker and Kubernetes-friendly self-hosted deployment
- AI-oriented building blocks for incorporating language models into flows