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Alternatives to memory-engine

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    • A
      license
      Not graded
      quality
      C
      maintenance
      Provides coding agents with durable, cross-session lessons-learned memory, enforcing that success or failure verdicts can only come from human approval, human correction, or objective metrics—never from the agent itself.
      Apache 2.0
    • A
      license
      Not graded
      quality
      D
      maintenance
      Enables AI agents to learn from their work by recording tasks, extracting patterns, detecting mistakes, and proactively surfacing insights, all using the agent's own model through a cooperative intelligence pattern.
      MIT
    • A
      license
      A
      quality
      A
      maintenance
      Enables AI agents to persistently recall, apply, and reinforce solutions to previously solved problems across different models and tools, so mistakes are not repeated.
      14
      397 npm
      1
      MIT
    • F
      license
      Not graded
      quality
      B
      maintenance
      Persistent, self-curating memory for coding agents. It enables local, zero-cost context recall through MCP tools with hybrid retrieval and autonomous consolidation.
      -

    TDQS

    B3.2/5.0

    Scored across 15 tools

    Disambiguation5/5

    每个工具都有明确且独特的用途:记录观察、捕获信号、获取待办、获取反思提示、保存反思、批量获取提示、搜索技能、统计、创建技能、获取技能提示、列出技能、获取技能、检查整合、获取上下文、搜索记忆。即使有相似工具(如get_pending_observations与get_reflection_prompt),它们分别针对观察记录和提示生成,边界清晰。

    Naming Consistency5/5

    所有工具名称均采用小写蛇形命名,且遵循动词_名词模式(如record_observation, search_skill, create_skill)。命名风格统一,没有混合约定,动词选择也符合操作语义。

    Tool Count5/5

    15个工具覆盖了记忆引擎的核心功能:记录、分析、反思、技能管理、上下文检索等,每个工具都有明确的存在价值,没有冗余或重叠。数量在合理范围内(接近上限但仍紧凑)。

    Completeness4/5

    工具表面覆盖了记忆引擎的主要生命周期:观察记录->反思->技能创建->检索。缺少明确的删除/更新操作(如删除记忆或技能),但对于该领域并非核心需求,且其他关键步骤齐全。

    Maintenance

    ActivityMaintained
    ResponsivenessNo issues