Ratary 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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Ratary
ontorata
🧠 Knowledge & Memory
A
AgentRecall
Goldentrii
🧠 Knowledge & Memory
SummaryPersistent coding memory for AI assistants — hybrid search, knowledge graph, token-efficient context. MCP stdio (28 tools), npm @ratary/mcp-server, optional remote Streamable HTTP. Self-host D1, Postgres, MariaDB, or Docker.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 signal21/100 (Emerging)28/100 (Emerging)
Install pathnpx · lownpx · high
Engagement 0 0 0 0 0 0 311
ToolsNot listed yetNot listed yet
Verified / officialNoNo
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