LangChain vs LangGraph (May 2026)
TL;DR: LangChain composes linear chains. LangGraph composes stateful, cyclical graphs. They coexist, and most production agents import both. For a managed alternative that includes routing, caching, eval, and orchestration, see Swfte.
Spec comparison
| Spec | LangChain | LangGraph |
|---|---|---|
| Type | LLM application framework | Stateful agent orchestration framework |
| Mental model | Chains and runnables. linear composition | Explicit graphs with nodes and edges |
| State management | Implicit per-chain | Explicit checkpoints and reducers |
| Cycles + retries | Limited | First-class, supports loops, branches, human-in-the-loop |
| Best for | RAG, chat, single-step LLM apps | Multi-agent systems, long-running workflows |
| Observability | LangSmith | LangSmith + graph trace |
| Hosted runtime | None (BYO infra) | LangGraph Platform from $39/seat |
| Maturity | Earliest open-source LLM framework | Newer: built on LangChain primitives |
Choose LangChain when
- Building a RAG pipeline, single-prompt app, or linear chain of LLM calls
- Prototyping in Python or TypeScript with research-grade speed
- You want the largest open ecosystem of integrations
- Workflow is fundamentally request → process → respond
Choose LangGraph when
- Multi-agent systems with explicit handoffs
- Long-running workflows with retries and human approvals
- Stateful agents that pause, resume, and persist across hours/days
- Loops, branching, and cycle detection are required
Choose Swfte when
- You want the runtime, not the framework; managed gateway + orchestration
- Multi-model routing, prompt caching, and per-team cost ceilings are first-class
- Eval harness and observability ship in the same product
- On-prem / VPC deployment is non-negotiable
FAQ
Is LangGraph replacing LangChain?
No, and they coexist. LangGraph imports from LangChain for tools, prompts, and LLM wrappers. The graph layer is additive: use LangChain for the linear pieces, LangGraph for the cyclical / multi-agent pieces.
Can I migrate a LangChain app to LangGraph?
Yes, incrementally. The pattern is to wrap an existing LangChain runnable as a single LangGraph node, then split it into multi-node graphs as orchestration complexity grows.
What is the alternative to both?
For research-grade prototyping, neither has a strong replacement. For production runtime, teams move to a managed gateway like Swfte that bundles routing, caching, eval, and orchestration. eliminating the need to run a framework upgrade lane.
Does LangGraph support cycles?
Yes, that's a primary reason to choose it. LangChain runnables are mostly acyclic; LangGraph nodes can loop, branch on state, and resume from checkpoints.
What about LangSmith?
LangSmith is the observability + eval product. It works with both LangChain and LangGraph and is usually bundled in any production deployment using either.
Skip the framework upgrade lane
Swfte hosts the orchestration, retries, caching, and eval that LangChain and LangGraph leave to you. OpenAI-compatible API.
Free tier · OpenAI-compatible API · SOC2 Type II · On-prem available