AgentRecall vs Devrag

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
D
Devrag
tomohiro-owada
🧠 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-mcpLightweight local RAG MCP server for semantic vector search over markdown documents. Reduces token consumption by 40x with sqlite-vec and multilingual-e5-small embeddings. Supports filtered search by directory and filename patterns.
Quality signal28/100 (Emerging)27/100 (Emerging)
Install pathnpx · highnpx · low
Engagement 0 0 0 311 0 0 0 62
ToolsNot listed yetNot listed yet
Verified / officialNoNo
Open listingView AgentRecallView Devrag
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