Iai Personal Memory Engine 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
A
AgentRecall
Goldentrii
🧠 Knowledge & Memory
SummaryLocal memory daemon for any MCP-over-stdio client with three-tier storage (episodic/semantic/procedural). Own SQLite + hnswlib store (Hippo) with bge-small-en-v1.5, MIT-licensed community-detection reranking (MOSAIC), and sleep-cycle consolidation. AES-256-GCM encrypted at rest, no telemetry. Verbatim recall >=99% and post-contradiction Rescue@10 1.000 at honest scale. Ambient capture via shell hooks. Windows support in beta.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 signal25/100 (Emerging)28/100 (Emerging)
Install pathnpx · lownpx · high
Engagement 2 0 0 0 0 0 311
ToolsNot listed yetNot listed yet
Verified / officialNoNo
Open listingView Iai Personal Memory EngineView AgentRecall
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