AI Agent Platforms / Open-source and self-hostable workflow automation platforms

Open-source and self-hostable workflow automation platforms

Workflow automation platforms run repeatable processes from triggers, schedules, and integrations, and many now include AI steps or embedded agents. This page lists the open-source and source-available options, with the license and hosting model for each. Read license terms carefully here, because several use fair-code or source-available licenses rather than standard open source. There are 14 in this directory.

What to look for

Platforms

Activepieces

Open-source no-code automation platform with integrations, AI steps, and MCP servers.

MIT core, separately licensed enterprise features self-hosted or vendor cloud

Apache Airflow

Platform to programmatically author, schedule, and monitor workflows defined as Python code.

Apache-2.0 self-hosted; third-party managed services available

Automatisch

Business automation tool that connects services like Twitter and Slack to run workflows.

AGPL-3.0 core, separately licensed enterprise files self-hosted; vendor cloud available

Dagster

Python orchestrator that models data pipelines as declarative software-defined assets.

Apache-2.0 self-hosted; vendor cloud available

Huginn

Self-hosted system of agents that read the web, watch for events, and act on your behalf.

MIT self-hosted

Kestra

Event-driven orchestration platform with YAML workflows for data, AI, and infrastructure.

Apache-2.0 core, separately licensed enterprise features self-hosted or vendor cloud

n8n

Fair-code platform for building AI agents and workflows on a visual canvas with code.

Sustainable Use License (fair-code, source-available) self-hosted or vendor cloud

Node-RED

Low-code, flow-based programming tool for wiring devices, APIs, and online services.

Apache-2.0 self-hosted

Pipedream

Hosted integration platform for event-driven automations with prebuilt and custom code steps.

Pipedream Source Available License vendor-hosted

Prefect

Python workflow orchestration framework for building resilient data pipelines.

Apache-2.0 self-hosted server or vendor cloud

StackStorm

Event-driven automation platform that maps triggers to actions through rules and workflows.

Apache-2.0 self-hosted

Temporal

Durable execution platform that runs workflows resiliently and retries failed operations.

MIT self-hosted or vendor cloud

Trigger.dev

Open-source TypeScript platform for background jobs and long-running AI workflows.

Apache-2.0 self-hosted or vendor cloud

Windmill

Developer platform that turns scripts into APIs, background jobs, workflows, and UIs.

AGPL-3.0 and Apache-2.0 core, separately licensed enterprise features self-hosted or vendor cloud

Common questions

How do workflow automation platforms differ from AI agents?

Automation platforms execute flows you define in advance, which makes them predictable. Agents decide their own steps toward a goal. Many teams combine both: a workflow handles the reliable parts and calls an agent for the open-ended step.

Are these platforms fully open source?

Some are, and some are source-available or fair-code, which publishes the code but restricts certain uses. Each entry states its exact license so you can judge fit before adopting it.

Other categories

Open-source AI coworkers and teammatesOpen-source agent builders and frameworksOpen-source browser agentsOpen-source coding agents

See also the guide to choosing a platform and the full landscape and market map.