EverOS vs Memary

Side-by-side comparison of two AI agent tools

Short answer

  • Memary has had no commit in 23 months; EverOS is actively maintained (83 commits in the last 90 days).
  • EverOS is growing faster: +195 GitHub stars in the last 30 days vs +12 for Memary.
  • Pick EverOS for: one portable memory layer for every AI agent: local-first, Markdown-native, user-owned, and self-evolving. Pick Memary for: the Open Source Memory Layer For Autonomous Agents.

From GitHub data refreshed daily.

E
EverOSopen-source

One portable memory layer for every AI agent: local-first, Markdown-native, user-owned, and self-evolving across apps, tools, and workflows.

Memaryopen-source

The Open Source Memory Layer For Autonomous Agents

Metrics

EverOSMemary
Stars13.3k2.7k
Star velocity /mo19512.063492063492063
Commits (90d)830
Releases (6m)100
Overall score0.6973225034840690.21131434678490732

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 EverOS DetailsView Memary Details

        FAQ

        Which is more popular, EverOS or Memary?
        EverOS has more GitHub stars (13,326 vs 2,654).
        Which is more actively developed, EverOS or Memary?
        EverOS had more commits in the last 90 days (83 vs 0).
        Should I use EverOS or Memary?
        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.