by gossipcat-ai · MCP Server · ★ 41
weightless in-context RL for code review — agents that learn from grounded signals, no weights touched. <a
| Stars | 41 |
| Forks | 4 |
| Language | TypeScript |
| Category | MCP Server |
| License | MIT |
| Quality Score | 65.0298675671479/100 |
| Last Updated | 2026-09-07 |
| Created | 2026-03-19 |
| Platforms | claude-code, mcp, node |
| Est. Tokens | ~26k |
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gossipcat-ai is Multi-agent code review mesh — orchestrates AI agents from multiple providers to review code in parallel, cross-review each other's findings, and build accuracy profiles over time. Agents that catch r. It is categorized as a MCP Server with 41 GitHub stars.
gossipcat-ai is primarily written in TypeScript. It covers topics such as agentic, claude-code, mcp.
You can find installation instructions and usage details in the gossipcat-ai GitHub repository at github.com/gossipcat-ai/gossipcat-ai. The project has 41 stars and 4 forks, indicating an active community.
gossipcat-ai is released under the MIT license, making it free to use and modify according to the license terms.