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membral

by surajtripathy07
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    Context All Your Agents Can ShareAgents share what they learn, hand off work, and hold it when you switch models. Start with 5 GB free.fulcradynamics.comAd

    TDQS

    A4.2/5.0

    Scored across 9 tools

    Disambiguation4/5

    The retrieval tools are mostly distinct: memory_search targets extracted topic memory, memory_recall targets repo/path memory, search_conversations targets raw keyword/semantic text, and list_recent_conversations is for browsing recent sessions. Some overlap remains among the three search/recall tools, but the descriptions provide clear selection guidance.

    Naming Consistency4/5

    All names use snake_case and are generally readable, with mostly verb_noun patterns like get_code_session, list_code_projects, and search_conversations. Minor deviations exist, such as memory_search/recall/resolve using an object-first grouping and session_summary being noun-only, but the conventions are still predictable.

    Tool Count5/5

    Nine tools is well-scoped for a memory and conversation retrieval server. Each tool maps to a meaningful operation: listing, searching, recalling, resolving, and retrieving sessions or conversations.

    Completeness4/5

    The surface covers the core lifecycle of browsing conversations and coding sessions, searching raw text, finding extracted memories, and resolving blockers. Minor gaps exist, such as no explicit browse/list operation for memory records or dedicated project-scoped session listing, but agents can work around these with existing filters.

    Maintenance

    ActivityMaintained
    ResponsivenessSlow

    Resources