AgentRecall vs 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.

Compare
A
AgentRecall
Goldentrii
🧠 Knowledge & Memory
E
Engram
rwnalds
🧠 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-mcpSecond brain your agents read and write, over a git-backed markdown vault. Authority-aware search ranks superseded and archived notes below live ones (from frontmatter, no vector DB), so agents quote the current doc, not the dead one. Per-agent read-only or write tokens, a git audit trail of every change with diffs, a knowledge-graph dashboard, and Obsidian compatibility.
Quality signal28/100 (Emerging)24/100 (Emerging)
Install pathnpx · highnpx · low
Engagement 0 0 0 311 0 0 0
ToolsNot listed yetNot listed yet
Verified / officialNoNo
Open listingView AgentRecallView Engram
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