Multi-LLM deliberation with anonymized peer review. Runs a 3-stage council: parallel responses → anonymous ranking → synthesis. Based on Andrej Karpathy's LLM Council concept.
Partial audit · 2/5 dimensions · Audit v1-github · today · imported from awesome mcp
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Multi-LLM deliberation with anonymized peer review. Runs a 3-stage council: parallel responses → anonymous ranking → synthesis. Based on Andrej Karpathy's LLM Council concept.
Yes, llm-council is completely free to use with no usage limits on the free tier.
llm-council is listed under the developer-tools category in the AgentForge MCP registry.
llm-council has a current uptime of 99.9% with an average response time of 0ms.
To connect llm-council, click the "Connect Agent" button on this page to get the configuration snippet. Add it to your MCP client (Claude Desktop, Cursor, or any MCP-compatible tool). Your AI agent will then have access to all of llm-council's tools via the Model Context Protocol.