Dify vs LangGraph
Detailed side-by-side comparison to help you choose the right tool
Dify
Orchestration & Chains
LLMOps platform for prompt apps, workflows, and agents.
Starting Price
Custom
LangGraph
Agent Frameworks
Graph-based stateful orchestration runtime for agent loops.
Starting Price
Custom
Feature Comparison
| Feature | Dify | LangGraph |
|---|---|---|
| Category | Orchestration & Chains | Agent Frameworks |
| Pricing Plans | 19 tiers | 19 tiers |
| Starting Price | ||
| Key Features |
|
|
Dify - Pros & Cons
Pros
- ✓Open-source platform for building and deploying LLM applications
- ✓Visual workflow builder with RAG, agents, and chatbot templates
- ✓Self-hostable with Docker for full data control
- ✓Supports multiple model providers out of the box
- ✓Good for teams wanting a GUI-based AI development platform
Cons
- ✗Self-hosting requires infrastructure management
- ✗Can be opinionated about workflow structure
- ✗Performance overhead from the platform layer
- ✗Enterprise features require commercial license
LangGraph - Pros & Cons
Pros
- ✓State-machine approach provides fine-grained control over agent flows
- ✓Tight integration with the broader LangChain ecosystem
- ✓Built-in persistence for durable, long-running workflows
- ✓Cloud deployment option via LangSmith for production scale
- ✓Supports cyclic graphs enabling iterative agent reasoning
Cons
- ✗Tightly coupled to LangChain — harder to use standalone
- ✗Graph-based paradigm has a learning curve for new developers
- ✗Cloud features require a LangSmith subscription
- ✗Verbose configuration for simple linear workflows