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Alternatives to goldfish

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    Related Servers

    • A
      license
      A
      quality
      B
      maintenance
      Provides persistent memory for AI coding agents via MCP, enabling teams to share and recall facts across sessions. Automatically captures, classifies, and curates knowledge from supported transcript sources.
      18
      8 npm
      1
      AGPL 3.0
    • A
      license
      Not graded
      quality
      A
      maintenance
      Gives coding agents a persistent memory by searching a local, read-only index of existing markdown and letting them write findings back as notes that the next session can retrieve. It serves ranked, context-sized results over MCP, injects standing conventions at session start, and keeps data on your machine with secret redaction and archive-only deletion.
      65 PyPI
      MIT
    • A
      license
      Not graded
      quality
      C
      maintenance
      A local MCP server that provides a shared context and learning foundation across multiple AI tools (Claude, Copilot, Codex) for multiple projects, enabling persistent knowledge, decisions, and gap reflection through note storage.
      MIT
    • A
      license
      Not graded
      quality
      A
      maintenance
      Provides shared long-term memory for AI coding agents via MCP, allowing tools like Claude Code and Codex to store and retrieve distilled facts, notes, and conversation history to persist context across sessions.
      8 npm
      3
      MIT
    • A
      license
      Not graded
      quality
      A
      maintenance
      Provides persistent, searchable memory across coding projects and machines, letting agents record and retrieve projects, reusable assets, sessions, decisions, commits, and handoffs via MCP.
      19 PyPI
      2
      Apache 2.0
    • A
      license
      Not graded
      quality
      A
      maintenance
      Persistent memory MCP server that remembers decisions and context across coding sessions, automatically logging and surfacing relevant knowledge as you work.
      25 npm
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    TDQS

    A3.6/5.0

    Scored across 7 tools

    Disambiguation4/5

    The seven tools map onto three distinct memory tiers (raw transcript, session summaries, curated notes), and read/write roles for notes are cleanly split between goldfish_recall and goldfish_remember. The main overlap is goldfish_search vs goldfish_reflect, which both query brain transcript history; descriptions differentiate them (reflect is restricted to role='user' and pattern-oriented), but an agent could still misselect between them.

    Naming Consistency4/5

    All tools use a consistent goldfish_ prefix with snake_case, which is highly predictable. However, the suffix is a mix of verbs (search, recall, remember, reflect) and resource nouns (context, persona, status), so it is not a strict verb_noun pattern.

    Tool Count5/5

    Seven tools is well-scoped for a three-tier memory server, with each tool earning its place across search, summarization, note read/write, reflection, aggregation, and health. No obvious redundancy or bloat.

    Completeness4/5

    The surface covers read/search, write, aggregation, and health across all three memory tiers. The one notable gap is the absence of a delete/prune or update operation for curated notes, despite the descriptions explicitly saying insights should be revisited and pruned over time.

    Maintenance

    ActivityMaintained
    ResponsivenessNo issues