Kestra vs Langflow

Side-by-side comparison of two AI agent tools

Short answer

  • Kestra is growing faster: +3,540 GitHub stars in the last 30 days vs +1,446 for Langflow.
  • Pick Kestra for: event Driven Orchestration & Scheduling Platform for Mission Critical Applications. Pick Langflow for: langflow is a powerful tool for building and deploying AI-powered agents and workflows.

From GitHub data refreshed daily.

K
Kestraopen-source

Event Driven Orchestration & Scheduling Platform for Mission Critical Applications

Langflowopen-source

Langflow is a powerful tool for building and deploying AI-powered agents and workflows.

Metrics

KestraLangflow
Stars28.9k155.5k
Star velocity /mo3.5k1.4k
Commits (90d)1.5k842
Releases (6m)1010
Downloads (30d, npm + PyPI)—40.1K
Overall score0.90890926929955320.8648447396988407

Pros

    • +可视化拖拽界面让非技术用户也能快速构建AI工作流
    • +支持多种部署方式包括API、MCP服务器和桌面应用，集成灵活性极高
    • +内置对所有主流LLM和向量数据库的支持，生态系统完整

    Cons

      • -需要Python 3.10-3.13环境，对非Python用户有技术门槛
      • -复杂的企业级功能可能对简单用例过于繁重
      • -学习曲线较陡，充分利用所有功能需要时间投入

      Use Cases

        • •构建多代理协作系统处理复杂业务流程和决策
        • •将AI工作流部署为API服务供其他应用程序调用
        • •快速原型制作和可视化测试AI工作流的效果和逻辑
        View Kestra DetailsView Langflow Details

        FAQ

        Which is more popular, Kestra or Langflow?
        Langflow has more GitHub stars (155,471 vs 28,908).
        Which is more actively developed, Kestra or Langflow?
        Kestra had more commits in the last 90 days (1,491 vs 842).
        Should I use Kestra or Langflow?
        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.