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engram

engram

by TushaeBXN
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Python
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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

    C2.8/5.0

    Scored across 31 tools

    Disambiguation3/5

    Several clusters overlap: engram_check vs engram_audit, engram_recall vs engram_search, engram_supersede vs engram_correct vs engram_link(supersedes), engram_source vs engram_link(based_on), and engram_history vs engram_why. Descriptions help distinguish them, but an agent must read carefully to avoid misselection among memory-lifecycle and maintenance tools.

    Naming Consistency4/5

    All tools use the engram_ prefix and snake_case, with a clear kg_ subgroup. Most names are verb_noun or noun_resource, but bare verbs/nouns like status, recall, why, history, audit, and pin are minor deviations rather than inconsistent conventions.

    Tool Count2/5

    At 31 tools, the surface is heavy for a memory server and exceeds the typical well-scoped range. Several operations could be consolidated (check/audit, supersede/correct/link, recall/search), making the set feel over-expanded rather than tightly scoped.

    Completeness4/5

    Coverage is broad: add/search/correct/supersede/dispute/link/source/why/history, temporal KG operations, wing/room/drawer structure, context loading, diary, compression, and audits. Minor gaps like deleting wings/rooms or directly editing drawer metadata remain, but there are no core workflow dead ends.

    Maintenance

    ActivityMaintained
    ResponsivenessNo recent community issues

    Resources