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mcp-memory

by oneKn8
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    • memento

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      A
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      A
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      Provides persistent memory for AI coding agents via MCP, enabling agents to store and semantically recall facts, events, and lessons across sessions, all running locally without cloud dependencies.
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    • Synapto

      ramonlimaramos
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      Provides persistent, searchable memory for MCP-compatible agents, enabling recall by meaning, automatic decay, trust scoring, and cross-agent handoffs.
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    • memento-mcp-server

      jee1
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      A
      maintenance
      Provides AI agents with persistent, human-like memory infrastructure via MCP, enabling them to store, search, summarize, and forget episodic, semantic, procedural, and working memories across sessions.
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    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

    A3.6/5.0

    Scored across 4 tools

    Disambiguation5/5

    Each tool has a distinct purpose: remember stores, recall searches semantically, list_memories browses with filtering, and forget deletes. There is no overlap or ambiguity.

    Naming Consistency4/5

    Most tools use single verb names (remember, recall, forget), but 'list_memories' breaks the pattern with a verb_noun style. The naming is clear but not fully consistent.

    Tool Count5/5

    With 4 tools covering create, read (two retrieval methods), and delete, the count is well-scoped for a memory server. No tools feel redundant or missing.

    Completeness3/5

    The set covers create, read (list and search), and delete, but lacks an update operation. There is no way to modify an existing memory, which is a notable gap for a typical CRUD lifecycle.

    Maintenance

    ActivityInactive
    ResponsivenessNo issues

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