Knowledge Rag 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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🧠 Knowledge & Memory
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AgentRecall
Goldentrii
🧠 Knowledge & Memory
SummaryLocal RAG system for Claude Code with hybrid search (BM25 + semantic), cross-encoder reranking, markdown-aware chunking, query expansion, and 28 MCP tools. Runs entirely offline with zero external servers.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 signal21/100 (Emerging)28/100 (Emerging)
Install pathnpx · lownpx · high
Engagement 0 0 0 0 0 0 311
ToolsNot listed yetNot listed yet
Verified / officialNoNo
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