hermes-agent vs Ray

Side-by-side comparison of two AI agent tools

Short answer

  • hermes-agent is growing faster: +5,760 GitHub stars in the last 30 days vs +330 for Ray.
  • Pick hermes-agent for: the agent that grows with you. Pick Ray for: ray is an AI compute engine.

From GitHub data refreshed daily.

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hermes-agentopen-source

The agent that grows with you

Rayopen-source

Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.

Metrics

hermes-agentRay
Stars250.7k44.0k
Star velocity /mo5.8k330.31746031746036
Commits (90d)32.9k1.0k
Releases (6m)107
Overall score0.95017616633487660.773229438636488

Pros

    • +统一的分布式框架，将数据处理、训练、调优和服务集成在单一平台中，减少了技术栈复杂性和学习成本
    • +平台无关设计，支持从本地开发到云端生产的无缝部署，兼容所有主流云提供商和Kubernetes环境
    • +强大的生态系统，拥有41000+GitHub星数和活跃的社区，提供丰富的集成和扩展能力

    Cons

      • -分布式系统的学习曲线较陡峭，需要理解分布式计算概念和Ray特有的编程模式
      • -对于简单的单机任务可能存在过度工程化的问题，引入了不必要的复杂性
      • -资源消耗较高，运行分布式集群需要相当的内存和计算资源投入

      Use Cases

        • •大规模机器学习训练：利用Train库在多GPU/多节点环境下进行深度学习模型的分布式训练，显著缩短训练时间
        • •超参数优化：使用Tune库对机器学习模型进行大规模并行的超参数搜索和调优，找到最优模型配置
        • •强化学习应用：通过RLlib构建和训练复杂的强化学习算法，适用于游戏AI、机器人控制和自动化决策系统
        View hermes-agent DetailsView Ray Details

        FAQ

        Which is more popular, hermes-agent or Ray?
        hermes-agent has more GitHub stars (250,690 vs 43,963).
        Which is more actively developed, hermes-agent or Ray?
        hermes-agent had more commits in the last 90 days (32,889 vs 1,028).
        Should I use hermes-agent or Ray?
        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.
        hermes-agent vs Ray (2026): GitHub Stats, Features & Which to Choose