Original Summary

The pain: most browser agents drive off screenshots, so every action is perceive-then-act = two round-trips, and each round-trip is a full model inference. On a real task that doubles your tool calls, your latency, and your token bill. PawBrowse fixes that. It's an open-source Chrome extension + a one-file, zero-dependency MCP server that lets your AI coding agent (Claude Code, Cursor, or any MCP client) see and click your actual logged-in browser tabs. Instead of a screenshot, it hands the agent a compact table of the clickable things in view (real names, values, state). Each ref is stable and every action returns the fresh table, so the agent acts in ONE round-trip, not screenshot-think-screenshot-again. Measured, same task, same model, filmed live (book a 4-star Lisbon hotel on Booking.com): 5 agent round-trips vs 10 for a perceive-then-act driver. ~2x fewer, so ~2x faster in the round-trip-bound agent loop and cheaper in tokens. One run each, reproducible from the repo (that's the gif). It drives your real, logged-in Chrome with no remote-debug port, no relaunch, no second model, and no API key. Free and open source (MIT), built with Claude Code, live on the Chrome Web Store + npm. Repo: github.com/ItaiZeilig/pawbrowse - I built it and would love feedback.   submitted by   /u/Far-Round2092 [link]   [comments]

中文概览

中文标题： PawBrowse：面向 AI 代理的浏览器自动化，约快 2 倍（将页面读作表格而非截图）— 开源

PawBrowse 是开源 Chrome 扩展和单文件、零依赖 MCP 服务器，让 Claude Code、Cursor 等 MCP 客户端读取并点击已登录浏览器标签页。它用可点击元素的紧凑表格代替截图，每次操作返回新表格，使代理一次往返即可行动。实测同一任务（Booking.com 预订里斯本四星酒店）5 次代理往返，对比感知-行动驱动的 10 次，约快 2 倍且更省 token；MIT 许可，已上线 Chrome 应用商店和 npm。

  • 情报分类：开源项目与落地
  • 分类依据：开源工具与落地项目，提供仓库、安装渠道和实测数据，非因来源默认归类。
  • 信息来源：Reddit · SideProject
  • 发布时间：2026/9/27 19:27:11