Engram vs Skill Seekers

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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Engram
HBarefoot
🧠 Knowledge & Memory
S
Skill Seekers
skill-seekers
🧠 Knowledge & Memory
SummaryLocal-first persistent memory for AI agents. SQLite + local embeddings (all-MiniLM-L6-v2), hybrid semantic + FTS5 recall, secret detection, and contradiction handling. 6 MCP tools (remember, recall, forget, feedback, context, status) over stdio. Zero cloud, no API keys, fully offline. Works with Claude Desktop/Code, Cursor, and Windsurf. npm install -g @hbarefoot/engramTransform 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.
Quality signal27/100 (Emerging)33/100 (Emerging)
Install pathnpx · highnpx · low
Engagement 0 0 0 7 0 0 0 14,669
ToolsNot listed yetNot listed yet
Verified / officialNoNo
Open listingView EngramView Skill Seekers
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