LangGraph is a low-level orchestration framework and runtime for long-running, stateful agents. It is relevant when runtime behavior needs persistence, interrupts, streaming, retries, and explicit state graphs rather than one-shot prompt calls.
At a glance
- Organization
- LangChain
- Runtime role
- Orchestration runtime
- Category
- Agent Frameworks and Orchestration
- Official documentation
- Visit official documentation opens in a new tab
Where it fits in the runtime stack
Layer 5: agentic and application runtime. It coordinates stateful agent execution above model and tool providers.
Primary runtime role
Use LangGraph when workflow state, branching, resumption, and human-in-the-loop behavior are more important than a simple request/response wrapper.
Not the same as
LangGraph is not a low-level model inference engine or model server.
Integration notes
- Define state explicitly and keep durable checkpoints separate from prompt-only context.
- Add policy gates around nodes that invoke privileged tools.
- Export trace events for node transitions, retries, interrupts, and resumed execution.
Questions before production use
- Which graph nodes can produce side effects?
- How does the runtime resume after process, provider, or network failure?
- Where do humans approve or modify state before continuation?
Review and deprecation posture
This profile is reviewed as part of the aRuntime.com quarterly resource audit. If the official documentation moves, the project is archived, or the resource changes scope, this page should be updated with a dated status note rather than silently removed.
Sources and further reading
- LangGraph overview opens in a new tab — LangChain; official documentation; accessed 2026-06-20 UTC.
Last reviewed: .