Editorial note: AI coding plans, quotas, model access, and product features change frequently. Verify current details directly before subscribing or deploying.
Overview
LangGraph is an open-source orchestration framework for building stateful AI agents and workflows with explicit control over routing, memory, checkpoints, retries, human approval, and long-running execution.
Best for
Developers and AI engineering teams building complex agents that require state, branching, checkpoints, human review, and durable execution
Key features
- Stateful agent orchestration
- Conditional routing
- Checkpoints and persistence
- Human-in-the-loop workflows
- Retries and recovery
- LangSmith integration
Pricing
The LangGraph framework is open source. Hosted deployment, tracing, evaluation, and production services may use LangSmith plans and usage-based pricing. Verify current terms directly.
Check current official pricing
Pros
- Fine-grained workflow control
- Designed for durable agents
- Open-source framework
- Strong LangChain ecosystem
Cons and cautions
- More complex than simple agent loops
- Requires engineering skill
- Hosted costs are separate
- Overkill for basic chatbots
Frequently asked questions
Is LangGraph free?
The core framework is open source, while hosted LangSmith services may have separate costs.
What is LangGraph best for?
It is best for long-running, stateful, multi-step agent workflows that need explicit control.
Does LangGraph require coding?
Yes. It is primarily a developer framework.
Before you choose
- Verify current pricing and model limits
- Review repository privacy and data-retention policies
- Test the tool on a noncritical project first
- Review every generated change and terminal action
- Compare at least one alternative
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