Cc Sensei vs AgentRecall

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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Cc Sensei
contradictory-body
🧠 Knowledge & Memory
A
AgentRecall
Goldentrii
🧠 Knowledge & Memory
SummaryDistills Claude Code's 310K LoC source into 32 queryable architecture modules via MCP. 6 tools: list modules, query architecture, trace cross-cutting concerns, search patterns, and read source code. Sub-120ms p95, fully local, zero network deps.Persistent, compounding memory for AI agents across sessions. Uses the Intelligent Distance Protocol to surface the most contextually relevant past memories. Five tools: sessionstart, remember, recall, check, sessionend. npx agent-recall-mcp
Quality signal24/100 (Emerging)28/100 (Emerging)
Install pathnpx · lownpx · high
Engagement 2 0 0 0 0 0 311
ToolsNot listed yetNot listed yet
Verified / officialNoNo
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