AI Agents
playwriter
Playwriter lets AI agents drive your real Chrome — your logins, extensions, and cookies — via Playwright
★ 4.0k starsMIT
View guide →The open-source library that lets AI agents control a real browser.
browser-use is an open-source ai agents project by browser-use (browser-use/browser-use on GitHub). It has 117,442 GitHub stars and 12,968 forks, is released under the MIT license, and was last updated on GitHub on 7 October 2026.
Write down the task or workflow you want the agent to handle.
Clone the repository and read the README's prerequisites.
Install dependencies and configure keys or endpoints.
Run the sample script and check the output against the docs.
Drives Chromium through Playwright for faithful rendering.
Integrates with the Python agent ecosystem.
Works with whichever model you wire up.
Maps agent intentions to concrete page elements.
Free for commercial products.
Tens of thousands of stars and forks mean examples abound.
Download the source and move into the project folder.
git clone https://github.com/browser-use/browser-use.git
cd browser-useCreate a virtual environment and install the requirements.
python -m venv .venv && source .venv/bin/activate
pip install -r requirements.txtTreat these as starting points - the README documents the exact commands.
python examples/quickstart.pyThe project lives at browser-use/browser-use and has attracted 12968 forks. Browse its commit history and contributor list for a sense of maintenance pace.
Yes - it is MIT licensed, so you can use, modify, and distribute it freely, including in commercial projects.
Browser control runs locally and is free; you only pay if you pair it with a hosted model API.
browser-use is a Python library you embed in your own code, while agent-browser is a Rust CLI and Steel offers a hosted browser API. Choose browser-use when you want library-level control inside a Python agent.
The README and the official docs site are the fastest path: run the quickstart example first, then adapt it to your use case.
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