Side-by-side comparison of two Model Context Protocol servers — install paths, tools, quality signals, and directory engagement so you can pick the right one for Claude, Cursor, and other MCP clients.
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.
Local-first task bus for CLI-based AI agents. Route work, persist state in SQLite, and let Codex, Claude Code, and other agents collaborate through a shared MCP server.