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MegaBrain

by dougrn
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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

    A3.5/5.0

    Scored across 7 tools

    Disambiguation4/5

    Most tools are clearly distinct (record_rule vs record_experience vs record_golden_pattern vs require_spec). However, brain_consult overlaps with brain_list_rules since consult already returns active rules, and record_experience with a verified_snippet partially duplicates record_golden_pattern, creating mild selection ambiguity.

    Naming Consistency4/5

    All tools share a consistent brain_ prefix and snake_case verb_noun style (brain_record_rule, brain_list_rules, brain_require_spec). Minor deviations are brain_consult and brain_stats, which lack a noun object but remain readable and unambiguous.

    Tool Count5/5

    Seven tools is well-scoped for a knowledge-base server covering retrieval, rule/spec/experience/pattern recording, and stats. Each tool maps to a distinct operation and none feels redundant or missing.

    Completeness3/5

    Write and read paths are covered (record rules/specs/experiences/patterns, consult, list_rules, stats), but there is no update or delete/retire operation for any stored artifact. Without lifecycle management, stale or wrong rules and vaccines cannot be corrected, which is a notable gap for a long-lived knowledge base.

    Maintenance

    ActivityMaintained
    ResponsivenessNo issues

    Resources