Kagan vs Llm Council

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.

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Kagan
kagan-sh
🤖 Coding Agents
🤖 Coding Agents
SummaryAI-powered Kanban TUI and MCP server for autonomous development workflows. Orchestrates 14 coding agents across task tracking, isolated git worktrees, review, and merge.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.
Quality signal21/100 (Emerging)25/100 (Emerging)
Install pathnpx · lowRemote · high
Engagement 2 0 0 2 0 0 8
ToolsNot listed yetNot listed yet
Verified / officialNoNo
Open listingView KaganView Llm Council
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