Gingugu 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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Gingugu
gingugu
🧠 Knowledge & Memory
A
AgentRecall
Goldentrii
🧠 Knowledge & Memory
SummaryPersistent memory for AI coding assistants. Local SQLite, no cloud. 16 MCP tools: store, recall, search, relate, consolidate, export, and credential vault (OS keychain). Typed memories with confidence lifecycle (verified/inferred/stale/deprecated), namespaces, knowledge graph, and hybrid BM25 + semantic search via fastembed ONNX. Works with Cursor, Windsurf, Claude, and any MCP client. pip install ginguguPersistent, 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 pathpip · highnpx · high
Engagement 0 0 0 4 0 0 0 311
ToolsNot listed yetNot listed yet
Verified / officialNoNo
Open listingView GinguguView AgentRecall
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