LangGraph vs Dify
LangGraph and Dify both work in AI Agents. Here is how they stack up on pricing, access, context and our editorial scores, and which one to pick.
Side by side
The verdict
Dify edges ahead overall, with a 4.5 Setuproll editorial score and a strong fit for llm app and agent building. LangGraph is the better pick when you want agent workflows in ai agents, and it stays in the running on price and access. Most teams choose Dify as the default and reach for LangGraph when their workflow leans that way.
Frequently asked questions
Is LangGraph or Dify better?
LangGraph holds a 4.1 Setuproll editorial score and is best for agent workflows in ai agents, while Dify holds a 4.5 and is best for llm app and agent building. Pick LangGraph for agent workflows in ai agents and Dify for llm app and agent building.
What is the difference between LangGraph and Dify?
LangGraph is reached as API (open source) with n/a, while Dify is reached as Local (open source) with n/a. They overlap on AI Agents and AI Backend but lead in different parts of the workflow.
Is LangGraph cheaper than Dify?
LangGraph is free, self-host or bring your own key, and Dify is free self-host + cloud plans. Both have a path to start without a large upfront cost.