LangChain vs LangGraph
A side-by-side comparison of LangChain and LangGraph, two Orchestration tools, drawn from Ignaite's continuously-verified listings.
Compared from listings verified as of
LangGraph
OrchestrationGraph-based agent orchestration. Stateful loops with checkpoints.
View LangGraphAt a glance
| Attribute | LangChain | LangGraph |
|---|---|---|
| Category | Orchestration | Orchestration |
| Pricing | FREE | FREE |
| License | Open source | Open source |
| Deployment | — | — |
| Platforms | API, CLI | API, CLI |
| Model support | Model-agnostic | Model-agnostic |
| Vendor | LangChain | LangChain |
The honest brief
LangChain
The default, most-integrated LLM framework — broadest connector ecosystem plus LangGraph + LangSmith in one stack.
- Huge ecosystem of integrations
- Python + TypeScript parity
- Pairs with LangGraph + LangSmith
- Ubiquitous docs and examples
- Abstraction layers add overhead
- Often overkill for simple RAG
- Black-box debugging at scale
- Frequent breaking API churn
LangGraph
Durable checkpointed state-graph with human-in-the-loop — long agent runs pause and resume, unlike one-shot chains.
- Durable checkpointed state
- Low-level graph control
- Debuggable long-running agents
- Runs in production at major firms
- Steeper learning curve
- More boilerplate than chains
- Tied to LangChain conventions