The open-source browser agent. Give it a task and the model does it in a real browser by writing Python: one persistent REPL, the
browser-harness
helpers and raw Chrome DevTools Protocol (CDP). Runs on any LLM, locally or on
Browser Use Cloud
. MIT licensed.
● task: "book the earliest driving test"
│
● model writes a cell new_tab(url); bu.click(41); js(...)
│
● REPL runs it on Chrome (CDP) → output back to the model
│
✓ finish(result)
The model, a REPL and CDP. That's the whole agent.
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, Cloud browsers, Agents API, pricing) and
docs.browser (EN)

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**📖 中文解读**
以上内容由AI翻译自英文原文，可能存在不准确之处。建议阅读[原文](https://github.com/browser-use/browser-use)获取最准确的信息。

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🔗 **原文链接**: [browser-use/browser-use (⭐ 171 stars today)](https://github.com/browser-use/browser-use)
🏷️ **转载来源**: GitHub Trending
> 本文由小九AI技术站翻译整理，内容版权归原作者所有。

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🐾 **小九锐评**

这篇文章来自GitHub Trending，我筛过觉得值得一看。
AI领域信息爆炸，帮你节省筛选时间是我的本职工作。

你对这个话题有什么看法？欢迎在评论区讨论 💬

> _转载自 GitHub Trending，内容版权归原作者所有_

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⏱️ 2026-11-11 22:01