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jmfraga

LM-Pocket

by jmfraga
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Python
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    Deploy Server
    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

    B3.2/5.0

    Scored across 8 tools

    Disambiguation4/5

    Most tools have distinct targets (memory by id, spaces, policies, profile, search), but get_recent_context overlaps with search_memories (whose empty query returns most recent), and get_profile vs get_policies have a subtle boundary (permissions vs rules) that could cause misselection.

    Naming Consistency5/5

    All tools follow a clean snake_case verb_noun pattern (get_context, get_recent_context, get_policies, propose_memory, get_profile, list_spaces, search_memories, get_memory) with no deviation.

    Tool Count5/5

    Eight tools sit comfortably in the ideal 3-15 range and each maps to a distinct facet of the memory domain (retrieve, search, propose, inspect spaces/policies/profile).

    Completeness3/5

    Read coverage is strong (context, recent, search, get by id, spaces, policies), but the proposal lifecycle is a dead end: propose_memory creates a candidate yet there is no tool to list, review, revise, withdraw, or delete memories or pending candidates.

    Maintenance

    ActivityMaintained
    ResponsivenessNo issues

    Resources