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io.github.hermes-labs-ai/fidelis-memory

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    Deploy Server
    One endpoint for every MCP toolRayrun runs every MCP server behind one URL and holds the credentials. Each call is decided per client, tool, and argument, then recorded.ray.runAd

    TDQS

    B3.4/5.0

    Scored across 4 tools

    Disambiguation3/5

    fidelis_recall and fidelis_query both retrieve memories and are distinguished mainly by filtering/LLM behavior, so an agent could easily choose the wrong one. fidelis_orient adds another retrieval-like path, though fidelis_health is clearly distinct.

    Naming Consistency4/5

    All tools share the fidelis_ prefix and use consistent snake_case, making the style predictable. The minor deviation is that fidelis_health is a noun rather than an action verb like recall, query, or orient.

    Tool Count5/5

    Four tools is a tight, manageable surface for a focused memory-retrieval server. The count is well within the ideal range and each tool has a recognizable role.

    Completeness2/5

    The domain is memory, yet the toolset only reads, queries, checks health, and orients. There are no operations to store, update, or delete memories, so agents cannot persist new information or correct stale memories.

    Maintenance

    ActivityActive
    ResponsivenessWithin a week

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