Skill Seekers 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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Skill Seekers
skill-seekers
🧠 Knowledge & Memory
A
AgentRecall
Goldentrii
🧠 Knowledge & Memory
SummaryTransform 17 source types (docs, GitHub repos, PDFs, videos, Jupyter, Confluence, Notion, Slack/Discord) into AI-ready skills and RAG knowledge. 35 MCP tools for scraping, packaging, enhancing, and exporting to vector databases (Weaviate, Chroma, FAISS, Qdrant). Supports 16+ target platforms.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 signal33/100 (Emerging)28/100 (Emerging)
Install pathnpx · lownpx · high
Engagement 0 0 0 14,669 0 0 0 311
ToolsNot listed yetNot listed yet
Verified / officialNoNo
Open listingView Skill SeekersView AgentRecall
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