独立运营 · 不出售排名位置  · 我们怎么评估工具 →
Anclum 提交收录
B

browser-use/browser-use

Open-source Python library for AI browser agents, plus Browser Use Cloud: stealth browsers and a hosted agent API.

装之前:有可直接复制的命令 · 许可证 MIT · 链接可访问

在 GitHub 查看 ↗链接已于 2026-11-12 核查 · HTTP 200 · 打开的是厂商自己的官网

编辑判断

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 页面

数据来自我们对官网的实测,核对于 2026-11-02。

安装与配置
  1. 复制上面的命令
  2. 粘成 claude_desktop_config.json 里 mcpServers 的一项(本地服务器用 command + args,示例见 客户端接法)
  3. 重启客户端
客户端配置(取自该仓库的安装命令)
{
  "mcpServers": {
    "browser-use-browser-use": {
      "command": "uv",
      "args": ["tool", "install", "browser-use"]
    }
  }
}

解析自我们于 2026-10-26 抓取的该仓库 README;我们未执行过。

command/args 来自仓库写明的安装命令;不确定时请以该项目 README 为准。
VS Code(.vscode/mcp.json —— 键名是 servers)
{
  "servers": {
    "browser-use-browser-use": {
      "command": "uv",
      "args": ["tool", "install", "browser-use"]
    }
  }
}
VS Code 顶层键是 <code>servers</code>,其余与上面那份相同。
Claude Code(命令行)
claude mcp add --transport stdio browser-use-browser-use -- uv tool install browser-use
Claude Code 不收 JSON 文件,用这条命令直接加。
配置项的键名以你的客户端为准:客户端与 CLI
★ 数取值
120,943 ★ · browser-use/browser-use · 取自 GitHub 搜索 API · (2026-11-13 20:00:50 核对)
来源明细
从该仓库的 GitHub 页面直接读取 · 条目类型:MCP 服务
收录与活跃
收录于 2026-10-26 · 最近见到 2026-11-14 · 共见到 21 次 · 被 1 个来源列出
安装
uv tool install browser-use
常见问题(答案都来自我们的记录)
怎么安装?
该仓库给出的安装命令是 uv tool install browser-use。我们的记录里它是仓库自己提供的;不保证在你的客户端上直接可用。
它适合谁 / 用来做什么?
我们还没有为它记录标签。
谁维护它、还在更新吗?
仓库 browser-use/browser-use;我们收录于 2026-10-26;最近见到 2026-11-14。这里没有"官方认证"或"质量评级"——我们只记录来源与时间。

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.
收录徽章(可选)
想把收录标记放进 README 就复制这行,可选,不影响收录。
[![Listed on Anclum](https://anclum.com/badge/listed.svg)](https://anclum.com/zh/s/browser-use-browser-use/)
来源
github · https://github.com/browser-use/browser-use
Traction
120,943 ★
收录于
今天

同类推荐

← 返回索引