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CP Memory

CP Memory

by CJhuochai
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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

    C2.9/5.0

    Scored across 40 tools

    Disambiguation2/5

    Several tools have unclear boundaries: memory_add vs memory_update vs memory_personal_add overlap, and memory_correct, memory_review_apply, and memory_personal_resolve all support similar marking actions. The review cluster (memory_personal_review, memory_review_digest, memory_review_inbox) and retrieval cluster (memory_search, memory_recall, memory_restore_context) also create confusion.

    Naming Consistency3/5

    Most tools follow a memory_<noun>_<verb> pattern, but there are notable exceptions like memory_add, memory_list, memory_recall, memory_restore_context, memory_review_digest, and memory_review_inbox. The naming is readable and consistently prefixed with memory_, but the mixed verb/noun order and noun-only names prevent a higher score.

    Tool Count2/5

    At 40 tools, this server is overbuilt for a coherent tool set. Many tools could be consolidated, especially the review, correction, and inspection clusters, which inflate the count without adding clear distinct value.

    Completeness4/5

    The core memory lifecycle is well covered with add, update, remove, search, inspect, aliases, links, conflicts, maintenance, and governance tools. Minor gaps exist in subdomains such as workflows, decisions, aliases, and links, where add/list/save exists but dedicated remove/update operations are missing or indirect.

    Maintenance

    ActivitySlowing
    ResponsivenessSyncing

    Resources