RecooAsk

Product comparison

Dify vs LangGraph

Choose Dify when the team wants an application-oriented AI workflow and agent builder. Choose LangGraph when engineers need graph-level control over agent state, branching, and orchestration.

Short answer: Dify is stronger as an AI application and workflow platform. LangGraph is stronger for engineering teams that need graph-based agent orchestration and control.

Agent Builders

Dify

Open-source LLM app and agent workflow platform covering agents, workflows, RAG, and application publishing.

Choose Dify when

  • The team wants a productized builder for internal AI applications.
  • Prompting, workflow setup, and deployment support matter more than framework-level control.
  • Non-framework users need to participate in building or operating AI workflows.
View product details dify.ai

Agent Builders

LangGraph

Graph-based agent orchestration framework for stateful, controllable agent workflows.

Choose LangGraph when

  • Engineers need explicit state graphs, branching, and agent control.
  • The team is comfortable building with code and framework primitives.
  • The agent workflow has complex orchestration requirements.
View product details www.langchain.com/langgraph

Shared fit

  • AI agent applications
  • Tool calling and workflow orchestration
  • Internal AI systems

Poor fit

  • Neither product is a simple consumer chatbot by itself.
  • A no-code builder may be too limiting for LangGraph-style engineering needs, while raw framework control may be too heavy for Dify-style application teams.

Sources

  • Dify official site: https://dify.ai/
  • LangGraph official site: https://www.langchain.com/langgraph

Check again with your real need.

Buyer context, data sources, deployment constraints, budget, and workflow depth can all change the answer.

If there is no strong fit, Recoo will say so.