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Alternatives to memory-mcp

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      Provides persistent, cloud-based memory for AI agents, letting them remember preferences, skills, and decisions across sessions via an MCP-compatible interface.
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    TDQS

    A3.9/5.0

    Scored across 5 tools

    Disambiguation5/5

    Each tool targets a distinct action: remember stores, recall searches, forget deletes, list_memories lists, and memory_status reports system status. There is no ambiguity or overlap between them.

    Naming Consistency4/5

    Names are mostly verb-based and readable, but there is a slight inconsistency: remember, recall, and forget are bare verbs, while list_memories is verb_noun and memory_status is noun_noun. A more uniform pattern like get_memory_status would improve consistency.

    Tool Count5/5

    With 5 tools, the server is well-scoped for a memory system. Each tool covers a necessary function without redundancy, making the set neither too thin nor overly heavy.

    Completeness4/5

    The tools cover the core CRUD operations (create, read, delete) plus status. The only minor gap is the lack of an explicit update tool, but users can forget and re-remember to modify entries, so the shortfall is easily worked around.

    Maintenance

    ActivityInactive
    ResponsivenessNo issues