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Alternatives to mcp-ariel-memory

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    Related Servers

    • A
      license
      A
      quality
      A
      maintenance
      Enables AI agents to gain persistent, structured memory that is semantically searchable and graph-traversable, allowing them to store and query records and relationships without managing embeddings or schemas.
      43
      40 npm
      Apache 2.0
    • F
      license
      Not graded
      quality
      D
      maintenance
      Provides AI agents with persistent, searchable memory that survives across conversations using semantic search, temporal versioning, and smart organization. Enables long-term context retention and cross-session continuity for AI assistants.
      14
      -
    • A
      license
      Not graded
      quality
      D
      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.
      31 npm
      22
      MIT
    • A
      license
      Not graded
      quality
      A
      maintenance
      Enables AI agents to capture, classify, synthesize, and retrieve persistent knowledge through MCP and REST APIs, so multiple agents can share memory and improve across sessions. It provides full-text, semantic, and hybrid search with token-optimized context retrieval from sources like Obsidian, code, transcripts, and terminal sessions.
      14 npm
      MIT

    TDQS

    B3/5.0

    Scored across 7 tools

    Disambiguation3/5

    The metaphorical names (dream=search, think=routing/store, evolve=personality, forget=delete) obscure the underlying actions, so an agent wanting to store or retrieve could plausibly misselect between think and dream. Descriptions disambiguate reasonably well once read, but the boundaries are not self-evident from the names.

    Naming Consistency3/5

    Most tools are single imperative verbs (evolve, think, dream, forget, project, wake_up), which is fairly consistent, but memory_hook breaks the pattern with a noun_noun form and several names are metaphorical rather than descriptive. It reads cleanly but the convention is not uniform.

    Tool Count5/5

    Seven tools is well-scoped for a memory server covering store, search, forget, lifecycle, session lift, projects, and evolution. Each tool has a distinct role and none feels redundant.

    Completeness4/5

    The surface covers a full memory lifecycle: ingest (think), retrieval (dream, wake_up), deletion/undo (forget), lifecycle events (memory_hook), project context (project), and personality (evolve). Only minor gaps remain, such as no explicit standalone get/recall beyond the search-oriented tools.

    Maintenance

    ActivityActive
    ResponsivenessResponsive