Skip to main content
Glama

Related Servers

Alternatives to Remembra

No user-submitted related servers found.

    Related Servers

    • A
      license
      A
      quality
      D
      maintenance
      Provides persistent memory for AI assistants via MCP, enabling them to store and recall facts, preferences, and tasks across conversations using either local file storage or a cloud backend with semantic search.
      5
      5 npm
      MIT
    • A
      license
      Not graded
      quality
      C
      maintenance
      Enables AI assistants to have persistent long-term memory by automatically storing and retrieving important information via MCP tools.
      MIT
    • A
      license
      Not graded
      quality
      A
      maintenance
      Provides AI agents with persistent, human-like memory infrastructure via MCP, enabling them to store, search, summarize, and forget episodic, semantic, procedural, and working memories across sessions.
      752 npm
      MIT
    • A
      license
      Not graded
      quality
      B
      maintenance
      Provides a persistent, cross-tool memory layer for AI coding agents via MCP, enabling storage and retrieval of decisions, preferences, and context across different tools and models.
      1 npm
      1
      MIT
    • A
      license
      A
      quality
      D
      maintenance
      Provides persistent memory with semantic search for MCP-based AI agents, enabling them to store and recall information across sessions using vector embeddings.
      4
      1
      MIT
    • A
      license
      A
      quality
      C
      maintenance
      Provides AI agents with persistent long-term memory over MCP, extracting durable facts from conversations, storing them as plain files, and injecting ranked memories into later sessions via recall and search tools.
      10
      MIT

    TDQS

    A3.7/5.0

    Scored across 13 tools

    Disambiguation4/5

    Most tools are clearly distinct: store, get, update, forget, archive, revive, search, list, relate, history, and maintain each map to a separate operation. The main ambiguity is memory_batch, which wraps store/update/delete/export and could be confused with the individual write/update/delete tools, though its batch purpose is stated.

    Naming Consistency4/5

    The memory_ prefix is consistent and most suffixes are action verbs: store, search, list, forget, get, relate, update, archive, revive, maintain. memory_batch and memory_history break the verb pattern, but the overall convention remains predictable and readable.

    Tool Count5/5

    Thirteen tools is well within the ideal range and each tool covers a distinct aspect of memory management: CRUD, search, versioning, relationships, archival, batch operations, ingestion, and maintenance. No tool feels redundant or unnecessary.

    Completeness5/5

    The surface fully covers memory lifecycle: store, retrieve, list, search, update, delete, archive, revive, version history, relation management, batch processing, and automated digesting from transcripts. There are no obvious dead ends or missing core operations for the stated purpose.

    Maintenance

    ActivityMaintained
    ResponsivenessUnresponsive