LibreAI / AI Agents / browser-use
// agents · browser-use/browser-use

browser-use

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.

The open-source library that lets AI agents control a real browser.

★ 117.4k stars⑂ 13.0k forksMITupdated 2026-10
▦ visual — this project's README ships no embeddable screenshot,
so here's a placeholder. The guide below is complete regardless.
// project facts

Project facts

GitHub stars
117,442
Forks
12,968
License
MIT
Last updated on GitHub
7 October 2026
Category
AI Agents
Listing
Full install guide
Official site
Official site
// how it works

How it works

  1. Define the job

    Write down the task or workflow you want the agent to handle.

  2. Get the code

    Clone the repository and read the README's prerequisites.

  3. Set up your environment

    Install dependencies and configure keys or endpoints.

  4. Try the quickstart

    Run the sample script and check the output against the docs.

// features

Why people love it

Real browser control

Drives Chromium through Playwright for faithful rendering.

Python-native

Integrates with the Python agent ecosystem.

LLM-agnostic

Works with whichever model you wire up.

Action grounding

Maps agent intentions to concrete page elements.

MIT licensed

Free for commercial products.

Huge community

Tens of thousands of stars and forks mean examples abound.

Advertisement
// run it

Run it yourself

  1. Step 1 - Clone the repo

    Download the source and move into the project folder.

    git clone https://github.com/browser-use/browser-use.git
    cd browser-use
  2. Step 2 - Install dependencies

    Create a virtual environment and install the requirements.

    python -m venv .venv && source .venv/bin/activate
    pip install -r requirements.txt
  3. Step 3 - Run an example

    Treat these as starting points - the README documents the exact commands.

    python examples/quickstart.py
// use cases

What you can build

  • Automate form-filling and data entry across web apps.
  • Scrape dynamic JavaScript-heavy sites via an agent.
  • Build a research agent that browses and summarizes pages.
  • Test web UIs with an agent that clicks through flows.
Advertisement
// faq

Questions, answered

Who is behind browser-use?

The 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.

Is browser-use free to use?

Yes - it is MIT licensed, so you can use, modify, and distribute it freely, including in commercial projects.

Do I need a paid API to use it?

Browser control runs locally and is free; you only pay if you pair it with a hosted model API.

How does it compare to agent-browser or steel-browser?

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.

Where should I start?

The README and the official docs site are the fastest path: run the quickstart example first, then adapt it to your use case.

// keep exploring

Similar tools

AI Agents

Jev Ultrafast

Jev Ultrafast — the fastest browser agent from browser-use: one decision-model request per action cycle drives a real browser, MIT

★ 23.7k starsMIT
View guide →
AI Agents

playwriter

Playwriter lets AI agents drive your real Chrome — your logins, extensions, and cookies — via Playwright

★ 4.0k starsMIT
View guide →
AI Agents

OSWorld-V2

Benchmark computer-use agents on long, real-world desktop tasks.

★ 353 starsApache-2.0
View guide →
AI Agents

chrome-devtools-mcp

Chrome DevTools for coding agents: an MCP server that lets agents debug and inspect real Chrome

★ 53.1k starsApache-2.0
View guide →
AI Agents

klavis

An MCP integration platform that lets AI agents use tools reliably at any scale.

★ 5.8k starsApache-2.0
View guide →
AI Agents

mobile-use

AI agents that use real Android and iOS apps like a human — from minitap.

★ 3.2k starsApache-2.0
View guide →
// alternatives

Alternatives in AI Agents

The most-starred other AI Agents projects in the LibreAI catalogue — the realistic shortlist if browser-use is not the right fit.

  • openclaw★ 391.6k

    A personal AI that really does things — on any OS, with your data staying yours.

  • superpowers★ 294.9k

    An agentic skills framework & software development methodology that works.

  • ECC★ 275.2k

    Agent harness optimization system with skills, memory and security for Claude Code, Codex and more

  • hermes-agent★ 252.0k

    The agent that grows with you — a Python framework for adaptive AI agents.

  • deepseek-harness★ 245.5k

    DeepSeek's plugin-based agent harness where everything is a plugin.

// more in agents

More in AI Agents

Nearby AI Agents projects in the catalogue, closest in stars to browser-use — keep exploring the shelf either side of it.

  • awesome-llm-apps★ 140.6k

    100+ AI Agents, Agent Skills and RAG Apps - Free and Open Source.

  • pi★ 113.3k

    A TypeScript toolkit for building agents: unified LLM API, loop, TUI, and CLI.

  • system-prompts-and-models-of-ai-tools★ 144.0k

    FULL Augment Code, Claude Code, Cluely, CodeBuddy, Comet, Cursor, Devin AI, Junie, Kiro, Leap.new, Lovable, Manus, NotionAI, Orchids.app, Perplexity, Poke, Q…

  • TradingAgents★ 110.3k

    Multi-agent LLM framework that mirrors a trading firm: analysts, researchers, trader and risk team

  • Langchain★ 147.4k

    The agent engineering platform

  • claude-mem★ 97.9k

    Give your coding agents a persistent memory that survives every session.

Get browser-use

Free and open — grab the source, star the repo, and start creating.