Recallnest vs Claude Engram

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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Recallnest
AliceLJY
🧠 Knowledge & Memory
C
🧠 Knowledge & Memory
SummaryPersistent memory MCP server for AI coding agents (Claude Code, Codex, Gemini CLI). Hybrid retrieval (vector + BM25), cross-encoder reranking, knowledge graph with PPR traversal, session checkpoint/resume, and multi-scope isolation. Local-first with LanceDB + SQLite, zero external dependencies.Persistent memory and session intelligence for Claude Code. Auto-tracks mistakes, decisions, and context via hooks. Mines session history for patterns and cross-session search. Loop detection, pre-edit warnings, context compaction survival. Runs locally with Ollama.
Quality signal25/100 (Emerging)27/100 (Emerging)
Install pathnpx · lowpip · high
Engagement 1 0 0 15 7 0 0 16
ToolsNot listed yetNot listed yet
Verified / officialNoNo
Open listingView RecallnestView Claude Engram
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