AI Agents
macos-harness
A minimal harness that lets an LLM fully control a Mac.
★ 902 starsMIT
View guide →A self-healing harness that connects an LLM directly to your real browser
browser-harness is an open-source ai agents project by browser-use (browser-use/browser-harness on GitHub). It has 18,355 GitHub stars and 1,794 forks, is released under the MIT license, and was last updated on GitHub on 27 September 2026.
Use your local browser for logged-in, personal work; Browser Use Cloud is for running many browsers in parallel.
Paste the README's setup prompt into Claude Code or Codex and let the agent install it.
Enable remote debugging at chrome://inspect so the agent can attach over CDP.
Give the agent a real browser task and watch it write any missing helpers on the fly.
Talks to your real browser through one editable CDP websocket - no separate automation browser profile required.
When a capability is missing, the agent writes a reusable helper into its workspace, so repeat tasks get faster.
A SKILL.md teaches the agent the browser workflow; install.md handles connection setup.
browser-harness-mcp exposes the browser-control helpers as MCP tools over stdio for Claude Code, Devin, Cursor and other clients.
Because it drives your real browser, tasks can use your existing logged-in sessions.
Scale out with Browser Use Cloud for parallel browsers with live previews, proxies and stealth when local is not enough.
Get the source code from GitHub and enter the project directory.
git clone https://github.com/browser-use/browser-harness.git
cd browser-harnessThe README's recommended route is pasting its setup prompt into your coding agent; it installs with uv on Python 3.12 and registers the skill.
# Paste the Setup prompt from the README into Claude Code or CodexThe agent opens the remote-debugging settings page; tick the checkbox so it can connect.
# Open chrome://inspect/#remote-debugging and enable the connection as the README showsIt is maintained by the Browser Use team (browser-use) on GitHub.
Yes - Browser Harness is MIT licensed and free for local use. Browser Use Cloud is a separate paid service for scaling.
You need an LLM agent (for example Claude Code or Codex) with its own model access; the local harness itself has no API fee.
Compared with Playwright scripts, the harness is agent-driven and self-healing - it writes missing helpers instead of failing - and it drives your real browser rather than a fresh automation profile.
Paste the README's setup prompt into Claude Code or Codex, enable remote debugging when asked, and assign a small task.
A minimal harness that lets an LLM fully control a Mac.
Reef — infrastructure for continually self-improving agents: weight-training and harness-evolving deployments.
Self-learning browser infrastructure for AI agents — sites remembered, so agents stop rediscovering the web
Self-hosted AI vulnerability research: agents find, validate, deduplicate, and rank real security issues.
One open platform to simulate, evaluate, guardrail, trace, and optimise LLM and agent apps, self-hostable.
The open-source library that lets AI agents control a real browser.
The most-starred other AI Agents projects in the LibreAI catalogue — the realistic shortlist if browser-harness is not the right fit.
A personal AI that really does things — on any OS, with your data staying yours.
An agentic skills framework & software development methodology that works.
Agent harness optimization system with skills, memory and security for Claude Code, Codex and more
The agent that grows with you — a Python framework for adaptive AI agents.
DeepSeek's plugin-based agent harness where everything is a plugin.
Free and open — grab the source, star the repo, and start creating.