Skip to main content
Glama

Related Servers

Alternatives to amnesic

No user-submitted related servers found.

    Related Servers

    • A
      license
      A
      quality
      C
      maintenance
      Persistent semantic memory for AI agents. SQLite-backed, local-first, zero config. Semantic search via Ollama embeddings with keyword fallback. Tools: remember, recall, history, forget, stats.
      17
      37 npm
      1
      MIT
    • A
      license
      A
      quality
      B
      maintenance
      Simple, fast, long-term memory for your AI chatbots, agents, and MCP tools. Give your LLM a persistent memory using a local SQLite file. No complex database servers, no heavy cloud setup, and zero C++ compilation errors. Works everywhere.
      14
      5
      132 npm
      1
      MIT
    • A
      license
      Not graded
      quality
      D
      maintenance
      Provides persistent long-term memory for LLMs via local SQLite storage and semantic search, enabling recall across sessions without external APIs.
      15 npm
      5
      MIT
    • A
      license
      Not graded
      quality
      D
      maintenance
      Lightweight persistent memory for AI agents using a single SQLite file with hybrid search (keywords + semantics). Zero to 12MB install, no cloud or server required.
      7
      MIT

    TDQS

    A4.7/5.0

    Scored across 12 tools

    Disambiguation5/5

    Each tool has a clear, distinct purpose. There is no overlap: annotation management (annotate, deprecate, forget), schema retrieval (get_schema, list_tables), querying (query), searching (search), relationship discovery (discover_relationships, get_relationships), drift detection (detect_drift), and knowledge sync (sync_knowledge) are all separate concerns.

    Naming Consistency5/5

    All tools follow the consistent pattern `db_<verb>_<noun>` using snake_case. The verbs are descriptive and indicate the action (e.g., annotate, query, list_tables). No mixing of conventions or vague names.

    Tool Count5/5

    With 12 tools, the server is well-scoped for a database knowledge management system. Each tool serves a necessary function in the lifecycle of schema understanding, annotation, querying, and maintenance. Not overloaded nor sparse.

    Completeness4/5

    The tool set covers the core workflow: connection listing, table discovery, schema retrieval, querying, annotation CRUD (annotate, deprecate, forget), relationship discovery, drift detection, and knowledge sync. Missing a direct tool to view all annotations in isolation, but schema retrieval and search provide access.

    Maintenance

    ActivityActive
    ResponsivenessLimited data