Skill Seekers vs Memex

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
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Memex
STiFLeR7
🧠 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.Developer context continuity system. Watches your git repos and builds a temporal knowledge graph of modules, symbols, decisions, and open problems via Graphiti + Neo4j, then serves it to any AI coding agent over MCP. Every edge carries a validity window and a confidence score that decays over time. 12 tools across read and write. Install via npx -y stifler-memex-mcp. MIT licensed.
Quality signal33/100 (Emerging)27/100 (Emerging)
Install pathnpx · lownpx · high
Engagement 0 0 0 14,669 0 0 0 12
ToolsNot listed yetNot listed yet
Verified / officialNoNo
Open listingView Skill SeekersView Memex
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