Skip to main content
Glama

Related Servers

Alternatives to engram-global

No user-submitted related servers found.

    Related Servers

    • A
      license
      Not graded
      quality
      D
      maintenance
      An MCP server that provides AI agents with persistent, multi-layered memory inspired by the human brain, including consolidation, self-reflection, and generative replay.
      1
      MIT
    • A
      license
      Not graded
      quality
      D
      maintenance
      A self-hosted MCP server that gives AI agents persistent, searchable memory with importance scoring, knowledge graphs, and autonomous memory consolidation.
      1
      MIT
    • A
      license
      Not graded
      quality
      B
      maintenance
      MCP server that gives AI coding agents persistent memory across sessions, storing architecture decisions, past bugs, and codebase conventions locally.
      5 npm
      MIT
    • A
      license
      A
      quality
      B
      maintenance
      This MCP server enables AI agents to store memories with sensory fingerprints and automatically surface relevant recollections when incoming cues such as location, time, text, images, or audio align, alongside explicit recall and forgetting tools.
      4
      7
      87 PyPI
      Apache 2.0
    • A
      license
      A
      quality
      D
      maintenance
      MCP server providing persistent memory for AI agents, enabling them to read, write, and query memories across sessions.
      9
      15 npm
      MIT

    TDQS

    A4.2/5.0

    Scored across 11 tools

    Disambiguation5/5

    Each tool has a clearly distinct purpose: remember saves, recall searches, forget soft-deletes, correct replaces erroneous memories, reinforce boosts relevance, link creates explicit connections, consolidation_candidates and skill_candidates surface different cluster types, mark_consolidated finalizes consolidation, reindex rebuilds the index, and stats reports metrics. Even the superficially similar candidates tools are well-differentiated by their described use cases.

    Naming Consistency3/5

    Naming uses a mix of simple verbs (remember, recall, forget, reinforce, correct, link, reindex), a noun (stats), and underscore-separated phrases (consolidation_candidates, skill_candidates, mark_consolidated). The convention is not uniform, but names are still readable and descriptive enough to infer their functions.

    Tool Count5/5

    With 11 tools, the server is well-scoped for a comprehensive memory management system. Each tool addresses a distinct lifecycle phase (creation, retrieval, correction, reinforcement, linking, consolidation, maintenance, and statistics), and none feel redundant or missing.

    Completeness4/5

    The tool surface covers the core memory lifecycle (create, read, soft-delete, correct, reinforce, link, consolidate, extract skills) plus maintenance and stats. Minor gaps exist, such as no direct update tool for editing a memory's content or a restore-from-trash operation, but these are workaroundable and the provided workflow is intentional.

    Maintenance

    ActivityInactive
    ResponsivenessNo recent community issues