LangGraph
LangChain's runtime for stateful AI agents, orchestrated as graphs.
LangGraph is LangChain's library for orchestrating agents (and multi-agent systems) as graphs: nodes, conditional edges, loops and shared state. Checkpointing makes every run persistent and resumable, interrupts enable human validation, and streaming exposes progress in real time. It's our choice when an agent outgrows the linear chain: decisions, loops and human oversight in production.
What LangGraph brings to your project.
Typical use cases: Supervised autonomous agents, multi-agent workflows, long-running business assistants.
- 01
Explicit graphs: nodes, conditional edges, loops, multi-agent.
- 02
Persistence and checkpointing: resumable runs, durable memory.
- 03
Human-in-the-loop: interrupts to validate or correct a step.
- 04
Native streaming of tokens and steps for responsive interfaces.
Entrust your project
to our experts.
Entrust your project to our
experts.
Entrust your project
to our experts.
Our experts build your project, delivering superior technical and functional quality within shorter timeframes.
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us.
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A project with LangGraph?
Describe your project. Our team replies within 24 hours with free technical scoping, along with a clear estimate of costs and timelines. No commitment.
- Reply within 24 hours from a project manager
or engineer.Reply within 24 hours from a project manager or engineer. - Technical scoping and quote, with no fees.
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Your company may qualify for a tax credit equal to 20% of the costs linked to developing its solution.
Free scoping & estimate in less than 24h
Describe your project and we'll get back to you with a costed estimate and a roadmap.