Agentflow vs DeepSeek Harness

Side-by-side comparison of two AI agent tools

Short answer

  • Agentflow has had no commit in 38 months; DeepSeek Harness is actively maintained (19,802 commits in the last 90 days).
  • DeepSeek Harness is growing faster: +16,130 GitHub stars in the last 30 days vs +0 for Agentflow.
  • Pick Agentflow for: complex LLM Workflows from Simple JSON. Pick DeepSeek Harness for: deepSeek Harness: Everything is a Plugin.

From GitHub data refreshed daily.

Agentflowopen-source

Complex LLM Workflows from Simple JSON.

D
DeepSeek Harnessopen-source

DeepSeek Harness: Everything is a Plugin.

Metrics

AgentflowDeepSeek Harness
Stars321242.6k
Star velocity /mo016.1k
Commits (90d)019.8k
Releases (6m)010
Overall score0.12960518418209220.9562973226855356

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 DeepSeek Harness?
        DeepSeek Harness has more GitHub stars (242,644 vs 321).
        Which is more actively developed, Agentflow or DeepSeek Harness?
        DeepSeek Harness had more commits in the last 90 days (19,802 vs 0).
        Should I use Agentflow or DeepSeek Harness?
        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.