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AI agents and automation

OpenHands

by OpenHands

OpenHands Agent Canvas is a self-hosted control panel for running AI coding agents such as OpenHands, Claude Code, Codex and Gemini CLI. It lets you start agent conversations and set up scheduled or webhook-triggered automations, on your own machine, in Docker or on a server.

Worth a lookEstablished, with a few things to check (listed below).

View on GitHubProject website

Stars
92k +55 a day
Licence
MIT
Runs on
A small server
Setup
Moderate
Language
TypeScript
Age
958 days

What you can do with it

  • Run several AI coding agents from one web interface, locally, in Docker or on a server
  • Create automations that run on a schedule or on webhooks, such as splitting GitHub issues into tasks
  • Send automated reports to Slack and connect tools such as GitHub, Linear and Notion

Make money with it

A freelance developer could use it to take on more client coding and maintenance work by letting agents handle routine tasks, or offer agent-automation setup as a service.

An idea, not financial advice. Check the licence before charging for anything built on it.

Ways a business could use it

  • Automate routine engineering chores such as dependency updates, code review and issue triage without hiring extra help
  • Produce scheduled reports and summaries posted to Slack, saving staff time on manual reporting

Can you use it commercially?

Free to use, change and sell, including in paid products. Keep the copyright notice.

Not legal advice. Read the project's licence file before building a product on it.

Getting it running

Install with npm (npm install -g @openhands/agent-canvas, needing Node.js 24 and uv) or run the supplied Docker image.

Follow the official instructions in the project README.

Things to check

  • Needs an LLM provider API key, which usually costs money
  • Without a sandbox the agent has full access to your filesystem
  • Running it on a public server needs careful security hardening
  • Fast-moving project, so features and setup may change

Who's talking about it

Checked 27 Oct 2026. Summary drafted by AI from the project's README.

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