Dify vs LangChain

Side-by-side comparison of two AI agent tools

Short answer

  • LangChain is growing faster: +23,217 GitHub stars in the last 30 days vs +3,652 for Dify.
  • Pick Dify for: production-ready platform for agentic workflow development. Pick LangChain for: the agent engineering platform.

From GitHub data refreshed daily.

Difyfree

Production-ready platform for agentic workflow development.

LangChainopen-source

The agent engineering platform

Metrics

DifyLangChain
Stars157.7k147.4k
Star velocity /mo3.7k23.2k
Commits (90d)2.3k546
Releases (6m)910
Overall score0.89050878848995390.9025020701905048

Pros

  • +生产级稳定性和企业级功能支持，适合大规模部署应用
  • +可视化工作流编辑器，大幅降低 AI 应用开发门槛
  • +活跃的开源社区和丰富的生态系统，持续更新迭代
  • +Extensive ecosystem with seamless integration between LangGraph, LangSmith, and hundreds of third-party components
  • +Future-proof architecture that adapts to evolving LLM technologies without requiring application rewrites
  • +Strong community support with 131k+ GitHub stars and comprehensive documentation for both Python and JavaScript

Cons

  • -学习曲线存在，需要时间熟悉平台的各种组件和配置
  • -复杂工作流的性能优化需要深入了解平台机制
  • -自部署版本需要一定的运维能力和资源投入
  • -Significant learning curve due to the framework's extensive feature set and multiple abstraction layers
  • -Potential over-engineering for simple use cases that might be better served by direct API calls
  • -Heavy dependency on the LangChain ecosystem which can create vendor lock-in concerns

Use Cases

  • •企业客服机器人和智能助手的快速开发与部署
  • •复杂业务流程的自动化处理，如文档分析、数据处理等
  • •知识库问答系统和内容生成应用的构建
  • •Building complex multi-agent systems that require planning, tool use, and coordination between different AI components
  • •Creating production LLM applications with observability, debugging, and deployment infrastructure via LangSmith
  • •Developing chatbots and conversational AI with memory, context management, and integration with external data sources
View Dify DetailsView LangChain Details

FAQ

Which is more popular, Dify or LangChain?
Dify has more GitHub stars (157,730 vs 147,383).
Which is more actively developed, Dify or LangChain?
Dify had more commits in the last 90 days (2,338 vs 546).
Should I use Dify or LangChain?
Compare their capabilities, limitations and "best for" notes above. Trying each on a small task is the fastest way to decide.