Agentflow vs hermes-agent

Side-by-side comparison of two AI agent tools

Short answer

  • Agentflow has had no commit in 38 months; hermes-agent is actively maintained (33,428 commits in the last 90 days).
  • hermes-agent is growing faster: +5,710 GitHub stars in the last 30 days vs +0 for Agentflow.
  • Pick Agentflow for: complex LLM Workflows from Simple JSON. Pick hermes-agent for: the agent that grows with you.

From GitHub data refreshed daily.

Agentflowopen-source

Complex LLM Workflows from Simple JSON.

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hermes-agentopen-source

The agent that grows with you

Metrics

Agentflowhermes-agent
Stars321250.9k
Star velocity /mo05.7k
Commits (90d)033.4k
Releases (6m)010
Overall score0.12960518418209220.946551175635728

Pros

  • +人类可读的JSON格式使非技术用户也能轻松创建和修改AI工作流程
  • +在聊天式交互和完全自主系统之间提供了良好的平衡,确保工作流程的可靠性和可控性
  • +支持自定义函数和变量系统,允许用户扩展功能并创建动态内容生成流程

    Cons

    • -目前仍在开发阶段,可能缺乏生产环境所需的稳定性和完整功能
    • -依赖OpenAI API,需要外部服务和API密钥,可能产生使用成本
    • -需要Python环境和手动配置,对非技术用户存在一定的技术门槛

      Use Cases

      • •自动化内容生成管道,如批量创建营销文案、产品描述或技术文档
      • •构建需要多个步骤的数据处理工作流程,如信息提取、分析和报告生成
      • •创建可重复的AI辅助业务流程,如客户服务响应模板或内容审核工作流

        FAQ

        Which is more popular, Agentflow or hermes-agent?
        hermes-agent has more GitHub stars (250,877 vs 321).
        Which is more actively developed, Agentflow or hermes-agent?
        hermes-agent had more commits in the last 90 days (33,428 vs 0).
        Should I use Agentflow or hermes-agent?
        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.