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Alternatives to engram-global

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    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
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    • F
      license
      Not graded
      quality
      C
      maintenance
      A self-hosted MCP server that gives AI agents persistent, searchable memory with importance scoring, knowledge graphs, and autonomous memory consolidation.
      1
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    • A
      license
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      quality
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      maintenance
      MCP server that gives AI coding agents persistent memory across sessions, storing architecture decisions, past bugs, and codebase conventions locally.
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    • A
      license
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      quality
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      MCP server providing persistent memory for AI agents, enabling them to read, write, and query memories across sessions.
      9
      4 npm
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    • A
      license
      Not graded
      quality
      A
      maintenance
      Self-hosted MCP server giving AI agents persistent memory for personalization and context across conversations.
      277
      Apache 2.0

    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

    ActivityMaintained
    ResponsivenessNo issues