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TMCRA Agent Memory

by reshuibuduo
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Python
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    TDQS

    B3/5.0

    Scored across 7 tools

    Disambiguation3/5

    Most tools have distinct roles, but tmcra_recall and tmcra_turn_prepare both perform memory recall, and tmcra_ingest and tmcra_turn_commit both persist conversation-related content. The descriptions clarify timing and use, but an agent could still misselect between the overlapping read/write tools.

    Naming Consistency3/5

    All names share the tmcra_ prefix and snake_case, but the verb pattern is inconsistent: recall/ingest/reconcile are bare verbs, get_job/wait_job are verb_noun, and turn_prepare/turn_commit are object_verb. This is readable but not a uniform convention.

    Tool Count5/5

    Seven tools is well-scoped for a memory/turn-lifecycle server: recall/ingest cover core memory operations, turn_prepare/turn_commit cover the turn cycle, and get_job/wait_job/reconcile support asynchronous durability. Each tool has a clear place in the workflow.

    Completeness4/5

    The core memory lifecycle is covered: recall, ingest, turn preparation/commit, reconciliation, and async job handling. The main gap is the lack of explicit memory update/delete/forget operations, though the system may be designed as append-only evidence.

    Maintenance

    ActivityMaintained
    ResponsivenessNo issues

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