Dify vs LangGraph
A side-by-side comparison of two ai agents tools — pricing, integrations, and the trade-offs that matter — so you can pick the right fit fast.
| Feature | Dify | LangGraph |
|---|---|---|
| Category | AI Agents | AI Agents |
| Pricing | Freemium · from Free | Freemium · from Free |
| Best for | Developers | Developers |
| Use cases | Building AI agents and chatbots with a visual interface, Self-hosting LLM applications for data control, Integrating knowledge bases into AI agent workflows | Building stateful, multi-step agent applications, Designing complex agent logic with branching and loops, Creating production-grade controllable AI agents |
| Integrations | OpenAI API, GitHub, API | LangChain, OpenAI API, Anthropic API |
| Rating | — | — |
| Website | Visit Dify | Visit LangGraph |
Dify
Open-source LLM app development platform for building and deploying AI agents.
Pros
- +Open-source and self-hostable for full data control
- +Combines prompt orchestration with knowledge base integration
- +Visual interface reduces coding requirements for agent building
Cons
- –Self-hosting requires infrastructure management responsibility
- –Advanced customization still benefits from development knowledge
LangGraph
Framework for building stateful, multi-agent AI workflows with LangChain.
Pros
- +Graph-based structure makes complex agent logic easier to control
- +Supports persistent state across multi-step workflows
- +Backed by the widely adopted LangChain ecosystem
Cons
- –Requires familiarity with graph-based programming concepts
- –Steeper learning curve than simpler linear agent frameworks
Dify vs LangGraph FAQ
- Is Dify better than LangGraph?
- Neither is universally better — both are ai agents tools. Dify (Freemium, from Free) is a strong fit for Building AI agents and chatbots with a visual interface, while LangGraph (Freemium, from Free) suits Building stateful, multi-step agent applications. Pick by your primary use-case and budget.
- What is the main difference between Dify and LangGraph?
- Dify focuses on "Open-source LLM app development platform for building and deploying AI agents." whereas LangGraph focuses on "Framework for building stateful, multi-agent AI workflows with LangChain.". Their pricing starts at Free and Free respectively.
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