Engram Mcp 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 Mcp
Cartisien
🧠 Knowledge & Memory
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Skill Seekers
skill-seekers
🧠 Knowledge & Memory
SummaryPersistent semantic memory for AI agents. SQLite-backed, local-first, zero config. Semantic search via Ollama embeddings (nomic-embed-text) with keyword fallback. remember, recall, history, forget, and stats tools. Works with Claude Desktop, Cursor, and any MCP client.Transform 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 signal25/100 (Emerging)33/100 (Emerging)
Install pathnpx · lownpx · low
Engagement 2 0 0 1 0 0 0 14,669
ToolsNot listed yetNot listed yet
Verified / officialNoNo
Open listingView Engram McpView Skill Seekers
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