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Related Servers

Alternatives to wanyi

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    Related Servers

    • A
      license
      Not graded
      quality
      D
      maintenance
      Enables AI agents to maintain persistent, local memory with retrieval-augmented search, knowledge graphs, and context surfacing, without any cloud dependencies.
      2,052 npm
      MIT
    • F
      license
      Not graded
      quality
      C
      maintenance
      Enables AI agents to automatically capture durable knowledge and retrieve only relevant, token-bounded context from a secure local-first long-term memory, with support for progressive disclosure, snapshots, health diagnostics, and background tasks.
      -
    • A
      license
      A
      quality
      A
      maintenance
      Provides a local, adaptive memory layer that lets AI agents persist and retrieve decisions, constraints, and lessons across sessions without requiring an LLM API key.
      5
      11
      AGPL 3.0
    • A
      license
      A
      quality
      A
      maintenance
      Gives AI agents persistent, local-first memory using SQLite and on-device embeddings, enabling semantic search and recall across sessions with no cloud calls.
      8
      7
      MIT
    • A
      license
      Not graded
      quality
      B
      maintenance
      Enables AI agents to store, recall, update, delete, and analyze persistent memories with semantic search, decay, and anomaly retrieval across hosted, self-hosted, or fully local storage modes.
      53 npm
      22
      MIT
    • F
      license
      Not graded
      quality
      C
      maintenance
      Provides AI agents with persistent, local cross-session shared memory by combining vector semantic retrieval with knowledge graph relationships, and supports short/long-term memory management and local backups.
      -

    TDQS

    B3.2/5.0

    Scored across 23 tools

    Disambiguation4/5

    Most tools target a distinct memory lifecycle or guardrail function, and the detailed descriptions help separate recall from graph search, consolidation from deep gardening, and the various moat tools. A few pairs (LOAD hook vs. proactive partner's brief, sleep consolidation vs. gardener) could still be confused at first glance.

    Naming Consistency3/5

    All tools share the consistent 万忆 prefix, but the second element mixes noun-style names like 错题本 and 园艺师 with verb-object names like 记录见闻 and 更新交易锚点. The naming is readable, but there is no uniform verb_noun convention across the set.

    Tool Count3/5

    With 23 tools, this sits in the heavy range, and many tools bundle multiple subcommands, making the actual surface even larger. The count is not absurd for a comprehensive memory-and-reflection system, but it feels over-scoped for a typical MCP server.

    Completeness3/5

    The server covers memory writing, recall, compression, consolidation, self-checks, hooks, progress persistence, and proactive guardrails very extensively. However, there is no explicit general memory update or delete/forget tool, which leaves a notable gap in the core CRUD lifecycle for arbitrary memories.

    Maintenance

    ActivitySlowing
    ResponsivenessNo issues