Langflow vs Agno

Side-by-side comparison of two AI agent tools

Short answer

  • Langflow is growing faster: +1,446 GitHub stars in the last 30 days vs +560 for Agno.
  • Pick Langflow for: langflow is a powerful tool for building and deploying AI-powered agents and workflows. Pick Agno for: build, run, manage agentic software at scale.

From GitHub data refreshed daily.

Langflowopen-source

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

Agnoopen-source

Build, run, manage agentic software at scale.

Metrics

LangflowAgno
Stars155.5k42.5k
Star velocity /mo1.4k560.0526315789474
Commits (90d)842351
Releases (6m)1010
Downloads (30d, npm + PyPI)40.1K1.7M
Overall score0.86484473969884070.7960554542558297

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
  • +Production-ready runtime with built-in scalability, session isolation, and native tracing capabilities
  • +Comprehensive monitoring and management through AgentOS UI for testing, debugging, and production oversight
  • +Simple development experience - build sophisticated agents with memory and tools in approximately 20 lines of Python code

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
  • -Python-focused platform with limited examples for other programming languages
  • -Requires multiple dependencies and proper configuration of API keys and database connections
  • -May have a learning curve for implementing complex multi-agent workflows and team coordination

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
  • •Building production AI agents with persistent state, memory, and custom tool integrations for customer service or automation
  • •Creating multi-agent teams and workflows for complex business processes that require coordination between specialized agents
  • •Enterprise deployment of AI agents with comprehensive monitoring, user session management, and production-grade reliability requirements

FAQ

Which is more popular, Langflow or Agno?
Langflow has more GitHub stars (155,471 vs 42,524).
Which is more actively developed, Langflow or Agno?
Langflow had more commits in the last 90 days (842 vs 351).
Should I use Langflow or Agno?
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.