Mnemo - Persistent AI Memory
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TDQS
Scored across 15 tools
Most granular memory tools are clearly distinct, but the deprecated 'memory' composite tool overlaps with nearly all of them, and 'config' status overlaps with 'memory_stats' by also reporting database statistics. The detailed action guides help, but the presence of overlapping dispatchers creates avoidable ambiguity.
The core tools mostly follow a verb_noun pattern (add_memory, search_memory, update_memory), but 'archived_memories', 'memory_stats', 'config', 'memory', and 'config__open_relay' break the pattern. The naming is readable and all snake_case, but the mix of bare nouns, noun_noun, and a double-underscore tool prevents it from being highly consistent.
At 15 tools, the server is at the upper bound of a well-scoped set, and the deprecated 'memory' tool plus the composite 'config' dispatcher make it feel slightly heavier than necessary. Excluding deprecated/helper tools, the remaining surface is reasonable for a persistent memory system with configuration and sync features.
The memory lifecycle is well covered: add, search, list, update, delete, archive listing, restore, import, export, stats, and consolidation are all present. Minor gaps exist, such as no direct get-by-ID tool and no explicit user-facing archive action beyond soft-delete/automatic archiving, but these are workable through existing tools.