AgentRecall vs Mcp Local Rag

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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AgentRecall
Goldentrii
🧠 Knowledge & Memory
M
🧠 Knowledge & Memory
SummaryPersistent, 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-mcpPrivacy-first document search server running entirely locally. Supports semantic search over PDFs, DOCX, TXT, and Markdown files with LanceDB vector storage and local embeddings - no API keys or cloud services required.
Quality signal28/100 (Emerging)21/100 (Emerging)
Install pathnpx · highnpx · low
Engagement 0 0 0 311 0 0 0
ToolsNot listed yetNot listed yet
Verified / officialNoNo
Open listingView AgentRecallView Mcp Local Rag
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