B
browser-use/browser-use
Open-source Python library for AI browser agents, plus Browser Use Cloud: stealth browsers and a hosted agent API.
View on GitHub ↗Link checked 2026-11-12 · HTTP 200 · opens the vendor's own site
Editor's verdict
Live and reachable
- Maintained as of 2026-10-30 — 4 days ago, with 618 open issues.
- The page this entry links to answered HTTP 200 at https://github.com/browser-use/browser-use on 2026-11-02.
Checked 2026-11-02 · HTTP 200 · 397650 B · 36 KB page
Data from our own checks of the live site, verified 2026-11-02.
Install & config
- Copy the command above
- Paste it as one entry under
mcpServersinclaude_desktop_config.json— local servers take command + args (example: clients) - Restart your client
Client config (built from the install command this repo gives)
{
"mcpServers": {
"browser-use-browser-use": {
"command": "uv",
"args": ["tool", "install", "browser-use"]
}
}
}Parsed from the README we fetched on 2026-10-26; we have not executed it.
command/args come from the install command the repository states. When it is ambiguous, the project README wins.
VS Code (.vscode/mcp.json - the key is servers)
{
"servers": {
"browser-use-browser-use": {
"command": "uv",
"args": ["tool", "install", "browser-use"]
}
}
}Same server, but VS Code keeps it under <code>servers</code>.
Claude Code (command line)
claude mcp add --transport stdio browser-use-browser-use -- uv tool install browser-use
Claude Code does not read a config file; add the server with this command.
Key names differ by client: Clients & CLI
- Star count
- 120,943 ★ · browser-use/browser-use · read from the GitHub search API · (checked 2026-11-13 20:00:50)
- Source
- read directly from its GitHub page · type: MCP server
- Harvest history
- first seen 2026-10-26 · last seen 2026-11-14 · seen 21× · listed by 1 sources
- Install
uv tool install browser-use
FAQ (answers come from our records)
How do I install it?
The repository provides this install command:
uv tool install browser-use. It comes from the repository itself; we cannot guarantee it runs as-is in your client.Who is it for?
We have no tags recorded for it yet.
Who maintains it?
repository
browser-use/browser-use；first catalogued 2026-10-26；last seen 2026-11-14。There is no official certification or quality rating here — we record sources and dates only.The open-source browser agent. Run it locally with any LLM, or on Browser Use Cl
以下摘录自该仓库的 README（片段） · 在 GitHub 读完整 README →
# Navigate the web like a human does.
Find an available slot, pick a date and time, handle the CAPTCHA, and book a driving test.
Explore more demos and prompts ↗
> AI agents and crawlers: read browser-use.com/llms.txt for the product map (open source, Browser Harness, Cloud browsers, Agents API, pricing) and docs.browser-use.com/llms.txt for the documentation index. Browser Use is the open-source browser agent (Python and TypeScript), a $0.02 per browser-hour cloud browser with stealth, CAPTCHA solving and residential proxies, and a hosted agent API.
# Which Browser Use do I need?
Path 1: Fully Hosted Cloud: Scale up with a fully hosted agent and browser.
Path 2: CLI: Automate your own browser tasks.
Path 3: Python Library: Run the open source Browser Use agent locally from your own code.
# Quickstart
## Path 1: Fully Hosted Cloud
Scale browser automation with our hosted agent, stealth browsers, and infrastructure for profiles, recordings, and data policies.
Get started with the API ↗
New Google, GitHub, or Microsoft signups get $1 cloud credit.
## Path 2: CLI
Paste this prompt into Claude Code, Codex, Hermes, OpenClaw, or your favorite agent.
text
Install or upgrade browser-use to the latest stable version with uv using Python 3.12, run browser-use skill install to register the skill, and connect it to my browser. If setup or connection fails, follow https://github.com/browser-use/browser-harness/blob/main/install.md.
## Path 3: Python Library
Run the Browser Use agent locally from Python, with your choice of model and a local or cloud browser:
1. Install Browser Use (Python >= 3.11):
With uv installed, run uv init --python 3.12 first if you're starting a new project.
bash
uv add browser-use
2. Add your OpenAI API key to .env:
bash
# .env
OPENAIAPIKEY=your-key
# BROWSERUSEAPIKEY=your-key # Optional: BU2 model or cloud browser
For either optional Browser Use service, get a Browser Use API key.
3. Save this as agent.py:
python
import asyncio
from browseruse import Agent, Browser, ChatBrowserUse, ChatOpenAI
from dotenv import loaddotenv
loaddotenv()
async def main():
llm = ChatOpenAI(model='gpt-5.6-luna', reasoningeffort='xhigh')
# llm = ChatBrowserUse(model='bu-2-0') # Use BU2 instead; requires BROWSERUSEAPIKEY
agent = Agent(
task="Find the number of stars of the browser-use repo",
llm=llm,
# browser=Browser(usecloud=True), # Use a cloud browser; requires BROWSERUSEAPIKEY
history = await agent.run()
print(history.finalresult())
if name == "main":
asyncio.run(main())
To use BU2, replace the ChatOpenAI line with the commented ChatBrowserUse line. The cloud-browser option works with either model.
4. Run it:
bash
uv run agent.py
The agent opens a browser, looks up the repository, and prints its answer.
5. Run the same agent on a cloud browser (no Chrome to install; works in Docker, CI, and serverless):
Set BROWSERUSEAPIKEY (get a key), then uncomment the browser= line in agent.py and run it again:
python
agent = Agent(
task="Find the number of stars of the browser-use repo",
llm=llm,
browser=Browser(usecloud=True),
Cloud browsers cost $0.02 per browser-hour plus network traffic (pricing), and add stealth, residential proxies, CAPTCHA solving, and a live view URL. Same code, no other changes.
Find an available slot, pick a date and time, handle the CAPTCHA, and book a driving test.
Explore more demos and prompts ↗
> AI agents and crawlers: read browser-use.com/llms.txt for the product map (open source, Browser Harness, Cloud browsers, Agents API, pricing) and docs.browser-use.com/llms.txt for the documentation index. Browser Use is the open-source browser agent (Python and TypeScript), a $0.02 per browser-hour cloud browser with stealth, CAPTCHA solving and residential proxies, and a hosted agent API.
# Which Browser Use do I need?
Path 1: Fully Hosted Cloud: Scale up with a fully hosted agent and browser.
Path 2: CLI: Automate your own browser tasks.
Path 3: Python Library: Run the open source Browser Use agent locally from your own code.
# Quickstart
## Path 1: Fully Hosted Cloud
Scale browser automation with our hosted agent, stealth browsers, and infrastructure for profiles, recordings, and data policies.
Get started with the API ↗
New Google, GitHub, or Microsoft signups get $1 cloud credit.
## Path 2: CLI
Paste this prompt into Claude Code, Codex, Hermes, OpenClaw, or your favorite agent.
text
Install or upgrade browser-use to the latest stable version with uv using Python 3.12, run browser-use skill install to register the skill, and connect it to my browser. If setup or connection fails, follow https://github.com/browser-use/browser-harness/blob/main/install.md.
## Path 3: Python Library
Run the Browser Use agent locally from Python, with your choice of model and a local or cloud browser:
1. Install Browser Use (Python >= 3.11):
With uv installed, run uv init --python 3.12 first if you're starting a new project.
bash
uv add browser-use
2. Add your OpenAI API key to .env:
bash
# .env
OPENAIAPIKEY=your-key
# BROWSERUSEAPIKEY=your-key # Optional: BU2 model or cloud browser
For either optional Browser Use service, get a Browser Use API key.
3. Save this as agent.py:
python
import asyncio
from browseruse import Agent, Browser, ChatBrowserUse, ChatOpenAI
from dotenv import loaddotenv
loaddotenv()
async def main():
llm = ChatOpenAI(model='gpt-5.6-luna', reasoningeffort='xhigh')
# llm = ChatBrowserUse(model='bu-2-0') # Use BU2 instead; requires BROWSERUSEAPIKEY
agent = Agent(
task="Find the number of stars of the browser-use repo",
llm=llm,
# browser=Browser(usecloud=True), # Use a cloud browser; requires BROWSERUSEAPIKEY
history = await agent.run()
print(history.finalresult())
if name == "main":
asyncio.run(main())
To use BU2, replace the ChatOpenAI line with the commented ChatBrowserUse line. The cloud-browser option works with either model.
4. Run it:
bash
uv run agent.py
The agent opens a browser, looks up the repository, and prints its answer.
5. Run the same agent on a cloud browser (no Chrome to install; works in Docker, CI, and serverless):
Set BROWSERUSEAPIKEY (get a key), then uncomment the browser= line in agent.py and run it again:
python
agent = Agent(
task="Find the number of stars of the browser-use repo",
llm=llm,
browser=Browser(usecloud=True),
Cloud browsers cost $0.02 per browser-hour plus network traffic (pricing), and add stealth, residential proxies, CAPTCHA solving, and a live view URL. Same code, no other changes.
Listed badge (optional)
Copy this line into the README if you want the listing mark. Optional, and it does not affect being listed.
[](https://anclum.com/en/s/browser-use-browser-use/)
- Source
- github · https://github.com/browser-use/browser-use
- Traction
- 120,943 ★
- added
- today