Memary vs MemOS

Side-by-side comparison of two AI agent tools

Short answer

  • Memary has had no commit in 23 months; MemOS is actively maintained (261 commits in the last 90 days).
  • MemOS is growing faster: +225 GitHub stars in the last 30 days vs +12 for Memary.
  • Pick Memary for: the Open Source Memory Layer For Autonomous Agents. Pick MemOS for: memory OS for LLMs and AI agents with graph-structured, multimodal storage and retrieval.

From GitHub data refreshed daily.

Memaryopen-source

The Open Source Memory Layer For Autonomous Agents

M
MemOSopen-source

Memory OS for LLMs and AI agents with graph-structured, multimodal storage and retrieval

Metrics

MemaryMemOS
Stars2.7k11.7k
Star velocity /mo12.063492063492063225
Commits (90d)0261
Releases (6m)010
Overall score0.211314346784907320.7181250897770423

Pros

  • +开源透明的记忆管理系统，允许完全自定义和扩展记忆机制
  • +同时支持本地模型（Ollama）和云端模型（OpenAI），提供灵活的部署选择
  • +内置模型切换功能，可以无缝在不同AI提供商之间切换而无需重写代码

    Cons

    • -严格的Python版本限制（<=3.11.9），可能与较新的开发环境不兼容
    • -复杂的初始配置，需要设置多个API密钥和数据库连接
    • -依赖特定的模型框架和外部服务，增加了系统的复杂性和维护成本

      Use Cases

      • •构建需要跨会话保持记忆的AI客服或助手系统，提供个性化的用户体验
      • •开发具有长期学习能力的自主AI智能体，用于复杂的决策和规划任务
      • •创建多轮对话AI应用，如教育助手或咨询系统，需要记住历史交互内容
        View Memary DetailsView MemOS Details

        FAQ

        Which is more popular, Memary or MemOS?
        MemOS has more GitHub stars (11,675 vs 2,654).
        Which is more actively developed, Memary or MemOS?
        MemOS had more commits in the last 90 days (261 vs 0).
        Should I use Memary or MemOS?
        Compare their capabilities, limitations and "best for" notes above. Both are open source, so trying each on a small task is the fastest way to decide.