What is LangGraph?
LangGraph is a framework for building stateful agent workflows. It is a developer building block rather than a ready-made assistant. The relevant starting question is what state a process must preserve, which steps can call tools, and where a human needs to inspect or approve the outcome.
What you can do
- Agent orchestration
- Stateful workflows
- Developer framework
How to get started
- Define one workflow and the state it must preserve.
- Build a minimal documented example with restricted tools.
- Test failure paths and human checkpoints before adding autonomy.
Make the workflow explicit
Sketch the steps and the information passed between them before choosing abstractions. Include the path for missing data, a failed tool call, or an interrupted run. A small workflow with visible state is easier to evaluate than a large collection of agents whose responsibilities overlap.
Separate orchestration from model quality
A framework can organize execution without making a model’s conclusions reliable. Evaluate tool permissions, budgets, recovery behavior, and the evidence behind outputs. Compare CrewAI for another way of structuring collaborative agent work, and inspect the actual model or service underneath either framework.
Who it suits
Developers who need explicit control over a stateful agent process.
Before you start
Expect application code, model/service access, and operational testing. A framework listing does not establish A2A compatibility or production safety.
Common questions
Is LangGraph a finished chatbot I can use immediately?
It is a developer framework. You still need to design the application, connect models and tools, and test how the workflow behaves.
What should I verify before using LangGraph?
Expect application code, model/service access, and operational testing. A framework listing does not establish A2A compatibility or production safety.
Sources and review scope
This main-site guide was written on October 18, 2026 using public product information and earlier AINavly source notes. It is an editorial introduction, not a completed hands-on benchmark.