A browser runtime that lets AI agents control your real Chrome browser via MCP. Agents can explore websites, generate operation manuals, and reuse them to save tokens. AI操控你的真实浏览器。
Show your agent how to use websites, or let it explore autonomously. Pilot Browse MCP turns website interactions into reusable manuals, making future tasks faster and cheaper.
Install a skill, let the agent explore a website. When done, it generates an operation manual. You can share manuals with others.
After exploration, the manual is saved in website-manuals/:
Stuck on exploration? Record or mark elements manually to help the agent through.
Given a task, the agent checks for existing manuals. If found, it operates based on the manual -- fewer tokens, faster execution.
Build various workflows, simple demo showcase.
Search a keyword, find a video, like and comment.
Search a novel, save the first 5 chapters.
Example - fill args with the actual path to server/dist/index.js:
Check scripts/Skill for available skills.
Refer to agent-examples/ for ready-to-use agent workspace examples. Run your agent in one of those directories and it will automatically load the MCP config, skills, and project prompts. (Remember to update the MCP path to your actual setup.)
- 40+ MCP tools -- tab management, content extraction, DOM operations, network interception, file saving, workflow recording - Element picker -- click any element on the page and tell the agent what it is - Workflow recording -- demonstrate operations to the agent, it learns and reuses - Network API discovery -- intercept XHR/Fetch to find JSON APIs behind SPAs - Token-efficient saving -- save page content directly to disk, bypassing the LLM - Shadow DOM + contenteditable
From the project README.
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