AI Skill Hub 强烈推荐:browser-use Agent工作流 是一款优质的Agent工作流。在 GitHub 上收获超过 93.6k 颗 Star,AI 综合评分 8.8 分,在同类工具中表现稳健。如果你正在寻找可靠的Agent工作流解决方案,这是一个值得深入了解的选择。
browser-use Agent工作流 是一套完整的 AI Agent 自动化工作流方案。通过可视化的节点编排,将复杂的多步骤任务拆解为清晰的自动化流程,实现全程无人值守的智能处理。支持与数百种外部服务和 API 无缝集成,适合构建数据处理管线、业务自动化和 AI 辅助决策系统。
browser-use Agent工作流 是一套完整的 AI Agent 自动化工作流方案。通过可视化的节点编排,将复杂的多步骤任务拆解为清晰的自动化流程,实现全程无人值守的智能处理。支持与数百种外部服务和 API 无缝集成,适合构建数据处理管线、业务自动化和 AI 辅助决策系统。
# 方式一:pip 安装(推荐)
pip install browser-use
# 方式二:虚拟环境安装(推荐生产环境)
python -m venv .venv
source .venv/bin/activate # Windows: .venv\Scripts\activate
pip install browser-use
# 方式三:从源码安装(获取最新功能)
git clone https://github.com/browser-use/browser-use
cd browser-use
pip install -e .
# 验证安装
python -c "import browser_use; print('安装成功')"
# 命令行使用
browser-use --help
# 基本用法
browser-use input_file -o output_file
# Python 代码中调用
import browser_use
# 示例
result = browser_use.process("input")
print(result)
# browser-use 配置文件示例(config.yml) app: name: "browser-use" debug: false log_level: "INFO" # 运行时指定配置文件 browser-use --config config.yml # 或通过环境变量配置 export BROWSER_USE_API_KEY="your-key" export BROWSER_USE_OUTPUT_DIR="./output"
<picture> <source media="(prefers-color-scheme: light)" srcset="https://github.com/user-attachments/assets/2ccdb752-22fb-41c7-8948-857fc1ad7e24"> <source media="(prefers-color-scheme: dark)" srcset="https://github.com/user-attachments/assets/774a46d5-27a0-490c-b7d0-e65fcbbfa358"> <img alt="Shows a black Browser Use Logo in light color mode and a white one in dark color mode." src="https://github.com/user-attachments/assets/2ccdb752-22fb-41c7-8948-857fc1ad7e24" width="full"> </picture>
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🌤️ Want to skip the setup? Use our <b>cloud</b> for faster, scalable, stealth-enabled browser automation!
**2. [Optional] Get your API key from [Browser Use Cloud](https://cloud.browser-use.com/new-api-key?utm_source=github&utm_medium=readme-quickstart-api-key):**
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1. Create environment and install Browser-Use with uv (Python>=3.11): ```bash uv init && uv add browser-use && uv sync
<br/>
Want to get started even faster? Generate a ready-to-run template:
uvx browser-use init --template default
This creates a browser_use_default.py file with a working example. Available templates: - default - Minimal setup to get started quickly - advanced - All configuration options with detailed comments - tools - Examples of custom tools and extending the agent
You can also specify a custom output path:
uvx browser-use init --template default --output my_agent.py
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BROWSER_USE_API_KEY=your-key
**3. Run your first agent:**python from browser_use import Agent, Browser, ChatBrowserUse
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<picture> <source media="(prefers-color-scheme: light)" srcset="static/accuracy_by_model_light.png"> <source media="(prefers-color-scheme: dark)" srcset="static/accuracy_by_model_dark.png"> <img alt="BU Bench V1 - LLM Success Rates" src="static/accuracy_by_model_light.png" width="100%"> </picture>
We benchmark Browser Use across 100 real-world browser tasks. Full benchmark is open source: browser-use/benchmark.
Use the Open-Source Agent - You need custom tools or deep code-level integration - We recommend pairing with our cloud browsers for leading stealth, proxy rotation, and scaling - Or self-host the open-source agent fully on your own machines
Use the Fully-Hosted Cloud Agent (recommended) - Much more powerful agent for complex tasks (see plot above) - Easiest way to start and scale - Best stealth with proxy rotation and captcha solving - 1000+ integrations (Gmail, Slack, Notion, and more) - Persistent filesystem and memory
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<details> <summary><b>What's the best model to use?</b></summary>
We optimized ChatBrowserUse() specifically for browser automation tasks. On avg it completes tasks 3-5x faster than other models with SOTA accuracy.
Pricing (per 1M tokens): - Input tokens: $0.20 - Cached input tokens: $0.02 - Output tokens: $2.00
For other LLM providers, see our supported models documentation. </details>
<details> <summary><b>Should I use the Browser Use system prompt with the open-source preview model?</b></summary>
Yes. If you use ChatBrowserUse(model='browser-use/bu-30b-a3b-preview') with a normal Agent(...), Browser Use still sends its default agent system prompt for you.
You do not need to add a separate custom "Browser Use system message" just because you switched to the open-source preview model. Only use extend_system_message or override_system_message when you intentionally want to customize the default behavior for your task.
If you want the best default speed/accuracy, we still recommend the newer hosted bu-* models. If you want the open-source preview model, the setup stays the same apart from the model= value. </details>
<details> <summary><b>Can I use custom tools with the agent?</b></summary>
Yes! You can add custom tools to extend the agent's capabilities:
from browser_use import Tools
tools = Tools()
@tools.action(description='Description of what this tool does.')
def custom_tool(param: str) -> str:
return f"Result: {param}"
agent = Agent(
task="Your task",
llm=llm,
browser=browser,
tools=tools,
)
</details>
<details> <summary><b>Can I use this for free?</b></summary>
Yes! Browser-Use is open source and free to use. You only need to choose an LLM provider (like OpenAI, Google, ChatBrowserUse, or run local models with Ollama). </details>
<details> <summary><b>Terms of Service</b></summary>
This open-source library is licensed under the MIT License. For Browser Use services & data policy, see our Terms of Service and Privacy Policy. </details>
<details> <summary><b>How do I handle authentication?</b></summary>
Check out our authentication examples: - Using real browser profiles - Reuse your existing Chrome profile with saved logins - If you want to use temporary accounts with inbox, choose AgentMail - To sync your auth profile with the remote browser, run curl -fsSL https://browser-use.com/profile.sh | BROWSER_USE_API_KEY=XXXX sh (replace XXXX with your API key)
These examples show how to maintain sessions and handle authentication seamlessly. </details>
<details> <summary><b>How do I solve CAPTCHAs?</b></summary>
For CAPTCHA handling, you need better browser fingerprinting and proxies. Use Browser Use Cloud which provides stealth browsers designed to avoid detection and CAPTCHA challenges. </details>
<details> <summary><b>How do I go into production?</b></summary>
Chrome can consume a lot of memory, and running many agents in parallel can be tricky to manage.
For production use cases, use our Browser Use Cloud API which handles: - Scalable browser infrastructure - Memory management - Proxy rotation - Stealth browser fingerprinting - High-performance parallel execution </details>
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本项目是一个简介,介绍了项目的基本信息。
如果您没有 Chromium,使用以下命令安装:uvx browser-use install。您还可以获取 Browser Use Cloud 的 API 密钥。
使用 LLM Quickstart,直接将您的编码代理(如 Cursor、Claude Code 等)指向 Agents.md。或者,您可以使用 Human Quickstart,创建环境并安装 Browser-Use,使用 uv (Python>=3.11)。
配置文件中包含了 BROWSER_USE_API_KEY 等关键参数。您可以在 .env 文件中设置这些参数。
API 文档中包含了 Google API 密钥、Anthropic API 密钥等信息。您需要在配置文件中设置这些参数。
工作流 / 模块说明中介绍了项目的整体架构,包括 Integrations、hosting、custom tools、MCP 等功能。
FAQ 中回答了常见问题,包括最佳模型选择、定价信息等。
工程化完善的AI自动化框架,9.3万Stars体现高热度。核心创新在将LLM与浏览器交互深度融合,降低Web自动化门槛。代码质量优秀,文档完整,生产环境友好。
AI Skill Hub 为第三方内容聚合平台,本页面信息基于公开数据整理,不对工具功能和质量作任何法律背书。
建议在沙箱或测试环境中充分验证后,再部署至生产环境,并做好必要的安全评估。
✅ MIT 协议 — 最宽松的开源协议之一,可自由商用、修改、分发,仅需保留版权声明。
总体来看,browser-use Agent工作流 是一款质量优秀的Agent工作流,在同类工具中具备一定竞争力。AI Skill Hub 将持续追踪其更新动态,建议收藏备用,结合自身场景选择合适时机引入使用。
| 原始名称 | browser-use |
| 原始描述 | 开源AI工作流:🌐 Make websites accessible for AI agents. Automate tasks online with ease.。⭐93.6k · Python |
| Topics | 浏览器自动化AI智能体工作流网页自动化LLM应用 |
| GitHub | https://github.com/browser-use/browser-use |
| License | MIT |
| 语言 | Python |
收录时间:2026-05-13 · 更新时间:2026-05-16 · License:MIT · AI Skill Hub 不对第三方内容的准确性作法律背书。
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