gossipcat-ai/gossipcat-ai

多智能体共识代码审查。 AI审核员自信地撒谎。Gossipcat让他们互相核对——对照你的实际代码。

TypeScript ·MCP ·Claude Code ·光标 ·多智能体

快速入门 · 工作原理· 指南· 手册 · 更新日志

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单个AI审核员会自信地报告不存在的漏洞。你看了结果，去查看，浪费了二十分钟——代码没问题。没有第二意见，没有记录，没付钱之前无法分辨真发现和幻觉。

Gossipcat并行运行多个代理，让每个**将同行的发现与你的真实file:line**进行验证，只展示幸存的部分。当代理编造发现时，同行会发现，代理的准确率会下降——随着时间推移，系统会将每种工作分配给在该领域有可测量可靠性的人。结论来自对你来源的引用检查，而不是一个模型对另一个模型的评分。

它作为 MCP 服务器运行于 Claude Code 和光标内，配备实时操作仪表盘和双向浏览器聊天桥接，连接到运行中的编排器。

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阅读报告

Multi-agent consensus code review. AI reviewers lie confidently. Gossipcat makes them check each other — against your actual code.

TypeScript · MCP · Claude Code · Cursor · multi-agent

Quick start · How it works · Guide · Handbook · Changelog

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A single AI reviewer will, with total confidence, report bugs that aren’t there. You read the finding, you go look, you waste twenty minutes — the code was fine. No second opinion, no track record, no way to tell a real catch from a hallucination until you’ve paid for it.

Gossipcat runs several agents in parallel, has each one verify its peers’ findings against your real file:line, and only surfaces what survives. When an agent invents a finding, a peer catches it and the agent’s accuracy score drops — over time the system routes each kind of work to whoever is measurably reliable at it. The verdict comes from citation checks against your source, never from one model grading another.

It runs as an MCP server inside Claude Code and Cursor, with a live operator dashboard and a two-way browser chat bridge into the running orchestrator.

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Reading a report

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