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chat-memory

chat-memory

by mav-rix
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Python
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    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

    B3.2/5.0

    Scored across 9 tools

    Disambiguation4/5

    Each tool maps to a fairly distinct memory lifecycle operation, and descriptions clarify the subtle cases (remember's duplicate/needs_review outcomes, supersede vs forget both hiding but for different reasons). The main soft spot is the boundary between remember (which can update on same topic_key) and update_memory, plus forget vs supersede, which an agent could occasionally misselect.

    Naming Consistency3/5

    Half the tools follow verb_noun (get_memory, update_memory, list_recent, get_profile) while the other half are bare verbs (remember, recall, supersede, forget, review). Each name is readable and reasonably self-describing, but the two conventions are mixed without a clear rule for which applies.

    Tool Count5/5

    Nine tools is well within the sweet spot and every one earns its place in a memory lifecycle (save, search, read, edit, supersede, forget, list, profile, review). No filler tools and no obviously merged concerns.

    Completeness4/5

    The surface covers full lifecycle: create (remember), read (recall/get_memory), update (update_memory/supersede), soft-delete (forget), plus listing, profile briefing, and cleanup review. Minor gaps remain: no hard/permanent delete or purge, and no batch operations, but core workflows are fully served.

    Maintenance

    ActivityMaintained
    ResponsivenessNo recent community issues

    Resources