AgentRecall vs Longhand

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
L
Longhand
Wynelson94
🧠 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-mcpPersistent local memory for Claude Code. Indexes every session JSONL verbatim into SQLite + ChromaDB for semantic recall (126ms) across your entire history. Never summarizes, zero API calls, 17 MCP tools including fuzzy recall, deterministic replayfile, and git-aware recallprojectstatus. Published on PyPI as longhand and registered in the MCP Registry.
Quality signal28/100 (Emerging)27/100 (Emerging)
Install pathnpx · highnpx · low
Engagement 0 0 0 311 0 0 0 12
ToolsNot listed yetNot listed yet
Verified / officialNoNo
Open listingView AgentRecallView Longhand
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