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Related Servers

Alternatives to Audrey

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    Related Servers

    • A
      license
      Not graded
      quality
      F
      maintenance
      Local-first, auditable memory for AI agents. Provides durable context for MCP hosts with SQLite storage, CLI, and MCP tools for memory management.
      2
      Apache 2.0
    • A
      license
      C
      quality
      A
      maintenance
      Local-first, governable long-term memory for AI agents. Provides SQLite-backed storage, cross-session recall, and traceable memory corrections through a standard MCP interface.
      40
      55 PyPI
      1
      MIT
    • A
      license
      A
      quality
      F
      maintenance
      Local-first MCP memory server that gives AI coding agents long-term memory via SQLite and sqlite-vec, with optional LLM-powered layering. No gateway or API key required.
      7
      126 npm
      4
      MIT
    • A
      license
      Not graded
      quality
      B
      maintenance
      A local-first MCP memory server providing persistent, searchable memory for AI agents, powered by SQLite.
      1 npm
      1
      Apache 2.0
    • A
      license
      B
      quality
      A
      maintenance
      Local-first, auditable memory for Codex, Claude Code, and MCP clients. It stores scoped user/project memory in SQLite or Postgres, serves read-only recall and inspection tools by default, and supports opt-in governed writeback with review and forget controls.
      8
      145 npm
      18
      MIT
    • A
      license
      Not graded
      quality
      B
      maintenance
      Persistent memory MCP server for AI agents, featuring a visual interface to browse, search, edit, and delete memory. It provides tools for capturing episodes, recalling, consolidating, crystallizing traits, and forgetting, with local SQLite storage and optional authenticated web UI.
      MIT

    TDQS

    D1.6/5.0

    Scored across 23 tools

    Disambiguation2/5

    All tools share the memory_ prefix and many names describe overlapping cognitive operations (e.g., memory_consolidate, memory_reflect, memory_dream, memory_encode, memory_recall, memory_introspect) with no descriptions to clarify boundaries. An agent would struggle to choose between several of these tools.

    Naming Consistency5/5

    Every tool follows the exact snake_case memory_<verb> pattern with a clear prefix and action verb. The naming convention is perfectly consistent across all 23 tools.

    Tool Count3/5

    23 tools is on the heavy side for a single server, even for a memory-focused domain. The count is manageable but begins to feel bloated, especially with many near-synonymous operations.

    Completeness2/5

    Without descriptions, the intended domain is only inferable from names, which suggest a memory lifecycle. Obvious operations like search/list or a clear memory store are absent, while many speculative tools (memory_dream, memory_greeting, memory_capsule) exist, creating significant gaps in a coherent surface.

    Maintenance

    ActivityActive
    ResponsivenessNo issues