genesys-memory
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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- AlicenseBqualityFmaintenanceMemory for AI coding agents. Persistent code graph + AI architecture diagrams. 32 MCP tools3236 npm5MIT
TDQS
Scored across 13 tools
Each tool targets a distinct operation: store, amend, recall, filtered search, graph traversal, explanation, pinning, unpinning, deletion, stats, preferences, and visibility promotion. memory_recall and memory_search are clearly differentiated as hybrid retrieval versus structured filtering/enumeration.
The memory_* prefix is used consistently for several core operations, but other tools switch to verb_memory forms (pin_memory, delete_memory), noun-like names (memory_stats), or unrelated forms (list_core_memories, set_core_preferences, promote_to_org). The naming is readable but not a uniform verb_noun pattern.
Thirteen tools is well within the ideal range for a memory graph server. Each tool covers a meaningful lifecycle or administrative function without unnecessary redundancy.
The tool set covers the full memory lifecycle: create, read via multiple retrieval modes, amend/supersede, pin/unpin, delete, and administrative operations like stats and preferences. Graph traversal and explanation tools add strong domain coverage with no obvious dead ends.