Tooling
LangGraph vs LangChain
LangGraph is a graph-based orchestration layer for stateful agents and cycles on top of LangChain primitives; LangChain is the broader orchestration ecosystem. Use LangGraph when you need explicit state machines and loops; use LangChain alone when linear chains suffice.
Verdict
LangGraph is a graph-based orchestration layer for stateful agents and cycles on top of LangChain primitives; LangChain is the broader orchestration ecosystem.
LangGraph
Choose LangGraph if…
- Workflow shape: First-class graphs, cycles, and branching—built for non-linear workflows.
- Agents & tools: Strong for agents that revisit tools, branch, or wait for approvals.
Best for
Workflow shape: FirstAgents & tools: Strong for agents that revisit tools, branch, or wait f…
LangChain
Choose LangChain if…
- Workflow shape: Chains, LCEL, and routing are ideal for many linear and lightly branching flows.
- Agents & tools: Broad agent abstractions; LangGraph extends when complexity grows.
Best for
Workflow shape: Chains, LCEL, and routing are ideal for many linear and…Agents & tools: Broad agent abstractions
Matrix
Each cell is intentionally concise — jump to source docs for depth.
| Item | Workflow shape | Agents & tools | State & durability | Learning curve | Interop |
|---|---|---|---|---|---|
| LangGraph | First-class graphs, cycles, and branching—built for non-linear workflows. | Strong for agents that revisit tools, branch, or wait for approvals. | Checkpointing and resume patterns for durable execution. | Higher cognitive load—teams need graph/state discipline. | Designed to compose with LangChain primitives; incremental adoption path. |
| LangChain | Chains, LCEL, and routing are ideal for many linear and lightly branching flows. | Broad agent abstractions; LangGraph extends when complexity grows. | Can be added via LangGraph when needed. | Large ecosystem; many tutorials and integrations. | LangGraph sits on top—start simple and evolve. |