Ebb
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kairnofficial
AlicenseNot gradedqualityAmaintenanceProvides AI assistants with a persistent knowledge graph and experience memory, featuring context-aware routing, progressive disclosure, decay-based forgetting, and automatic promotion of important knowledge. It offers 22 MCP tools for storing, recalling, connecting, and querying knowledge, experiences, preferences, and ideas.13MIT- FlicenseNot gradedqualityCmaintenanceProvides persistent, causal memory for AI agents with semantic recall, causal tracking, and importance-based forgetting through MCP tools.-
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- AlicenseNot gradedqualityAmaintenanceEnables AI assistants to have a living memory with atomic knowledge storage, multi-factor recall, organic decay, automatic learning, and graph traversal via MCP.1MIT
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TDQS
Scored across 10 tools
Each tool serves a distinct operation: node creation/update, edge creation, edge reinforcement, query, neighbor listing, deletion, pinning, maintenance pass, review queue access, and statistics. No two tools overlap in purpose.
All tool names are single lowercase words, with most being verbs (remember, connect, reinforce, recall, forget, pin, maintain) and a few nouns (neighbors, review_queue, stats). The style is consistent but mixes verb and noun forms, a minor deviation from a pure verb-noun pattern.
With 10 tools, the server is well-scoped for a knowledge graph with memory decay and archival. Each tool earns its place, covering creation, linking, querying, deletion, and maintenance without unnecessary bloat.
The surface covers the full node lifecycle (remember/forget), edge operations (connect/reinforce), querying (recall/neighbors), and archival (pin/maintain/review_queue). Minor gaps exist—no explicit edge deletion and no direct node fetch by ID—but recall and forget adequately work around these.