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light-agent-memory-mcp-server

by AliYar-Khan
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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

    A3.7/5.0

    Scored across 12 tools

    Disambiguation3/5

    The type-specific tools (project/pref/learning) are fairly distinct, but the generic memory_save, memory_search, and memory_list overlap with specialized equivalents like memory_project_save, memory_learning_search, and memory_project_list. The descriptions clarify the generic vs. specific distinction, but an agent still faces multiple paths to accomplish the same operation.

    Naming Consistency4/5

    Tool names consistently use a memory_ prefix and mostly follow a memory_<type>_<action> pattern. Minor inconsistencies exist: 'search' is used for learning where 'list' or 'get' might be expected, and the top-level memory_save/memory_search/memory_delete/memory_list deviate from the type-specific naming pattern.

    Tool Count4/5

    Twelve tools is reasonable for a memory system covering projects, preferences, and learnings. The count is slightly inflated by the generic memory_* tools that duplicate type-specific functionality, but overall the server remains well-scoped and navigable.

    Completeness4/5

    The server covers create, read, list, search, and delete across all memory types, either through type-specific or generic tools. Minor gaps exist—learning has no direct get-by-ID function, and deletion is only exposed through the generic memory_delete—but common workflows can be completed with existing tools.

    Maintenance

    ActivityStale
    ResponsivenessNo issues

    Resources