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Alternatives to Hypermnesic

No user-submitted related servers found.

    Related Servers

    • A
      license
      Not graded
      quality
      C
      maintenance
      Enables AI agents to persist and share durable memory — appending session logs with checkpoints and handoffs, claiming and completing tasks, and recording decision records — all stored as plain Markdown and JSONL files in a git repository. Everything written is full-text searchable, and the server speaks MCP so MCP-aware clients can plug in directly with zero vendor lock-in.
      MIT
    • A
      license
      Not graded
      quality
      C
      maintenance
      Open, Git-native memory protocol for MCP agents: stores memories as Markdown files in a Git repo, enabling portability, auditability, and human-editable memory across different AI agents.
      61 npm
      15
      MIT
    • A
      license
      Not graded
      quality
      A
      maintenance
      Local-first, file-based memory layer for AI agents — one shared Markdown vault across Claude, Codex, Gemini, Cursor and any MCP client. Provides read/write memory tools with an audit trail, per-agent trust levels, and Git sync; no cloud and no lock-in.
      2
      MIT
    • A
      license
      Not graded
      quality
      B
      maintenance
      MCP server providing persistent, local-first memory for AI agents via Markdown files in a git repo, with search, branching, and auditability.
      5 npm
      2
      MIT

    TDQS

    A4.1/5.0

    Scored across 7 tools

    Disambiguation2/5

    There are two tools that perform identical search functionality (search and hypermnesic_search), creating ambiguity about which to use. Other tools are distinct but the overlap is confusing.

    Naming Consistency4/5

    Most tools follow a verb or verb_noun pattern with consistent lowercase underscore naming. The hypermnesic_search is a namespaced alias that deviates from the pattern, but it is still clear.

    Tool Count5/5

    With 7 tools covering read-only operations like search, read, resolve, list, and context building, the count is well-scoped for a read-focused knowledge vault assistant.

    Completeness2/5

    The tool set lacks any write operations such as creating or updating notes. This is a significant gap for a personal knowledge management system, as agents cannot record new information or modify existing notes.

    Maintenance

    ActivityActive
    ResponsivenessUnresponsive