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NeuroMedia Agent Memory

by GeniusBotsLab
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Python
Hybrid

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    Deploy Server
    One endpoint for every MCP toolRayrun runs every MCP server behind one URL and holds the credentials. Each call is decided per client, tool, and argument, then recorded.ray.runAd

    TDQS

    A3.5/5.0

    Scored across 43 tools

    Disambiguation3/5

    Several tool families overlap: memory_list vs deprecated memory_list_compact, memory_list query vs memory_semantic_search vs memory_hybrid_search, and memory_create vs memory_absorb vs memory_create_batch. Descriptions are detailed enough to guide an expert agent, but an agent could still misselect among these similar read/write/search paths.

    Naming Consistency4/5

    All tools use a memory_ prefix and snake_case, making the surface highly predictable. However, the pattern is not strictly verb_noun throughout; noun-first tools like memory_stats, memory_insights, and memory_clusters are common, which is a minor deviation from the strongest convention.

    Tool Count2/5

    43 tools is too many for a coherent memory server surface, especially with maintenance, diagnostics, rate-limited rebuilds, and a deprecated alias. While the domain is broad, the count feels heavy and increases selection cost for agents.

    Completeness5/5

    The surface covers create/read/update/delete, batch operations, semantic and hybrid search, tags, documents, issues/todos/sections, linking, merging, deduplication, import/export, image migration, events, and analytics. No major lifecycle gap is apparent for an agent memory system.

    Maintenance

    ActivityMaintained
    ResponsivenessNo issues

    Resources