AgentRecall vs Engram Rs

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.

Compare
A
AgentRecall
Goldentrii
🧠 Knowledge & Memory
E
Engram Rs
kael-bit
🧠 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-mcpHierarchical memory engine for AI agents with automatic decay, promotion, semantic dedup, and self-organizing topic tree. Single Rust binary, zero external dependencies.
Quality signal28/100 (Emerging)20/100 (Emerging)
Install pathnpx · highnpx · low
Engagement 0 0 0 311 0 0 0
ToolsNot listed yetNot listed yet
Verified / officialNoNo
Open listingView AgentRecallView Engram Rs
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