Gingugu vs Claude Soul

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
C
Claude Soul
DomDemetz
🧠 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 ginguguSelf-improving learning engine for Claude Code. Extracts signals from every session (corrections, successes, confusion), runs periodic reflections, and evolves behavioral frameworks through evidence tiers (hypothesis → observed → validated). Frameworks that keep working get promoted, bad ones get retired. 9 MCP tools, automatic hooks, phase-adaptive learning. Single dependency, local-only. npx claude-soul init --starter
Quality signal24/100 (Emerging)29/100 (Emerging)
Install pathpip · highnpx · high
Engagement 0 0 0 0 0 0 86
ToolsNot listed yetNot listed yet
Verified / officialNoNo
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