Gingugu 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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Gingugu
gingugu
🧠 Knowledge & Memory
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Skill Seekers
skill-seekers
🧠 Knowledge & Memory
SummaryPersistent memory for AI coding assistants. Local SQLite, no cloud. 16 MCP tools: store, recall, search, relate, consolidate, export, and credential vault (OS keychain). Typed memories with confidence lifecycle (verified/inferred/stale/deprecated), namespaces, knowledge graph, and hybrid BM25 + semantic search via fastembed ONNX. Works with Cursor, Windsurf, Claude, and any MCP client. pip install ginguguTransform 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 signal24/100 (Emerging)33/100 (Emerging)
Install pathpip · highnpx · low
Engagement 0 0 0 0 0 0 14,669
ToolsNot listed yetNot listed yet
Verified / officialNoNo
Open listingView GinguguView Skill Seekers
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