LangGraph
New
Build stateful, multi-step AI agents that loop, branch, and pause for human input — modeled as graphs so you see exactly what your agent does at every step.
Agents
★ 4.6(3,700 reviews)freeOverview
LangGraph is a graph-based agent orchestration framework from the LangChain team that models complex agent workflows as stateful directed graphs. Each node is an action or decision step; edges define transitions based on state and conditions. This gives you precise control over branching, loops, human-in-the-loop interrupts, and parallel execution — patterns that are impractical to implement reliably with linear chain frameworks.
Key Features
- Stateful directed graph model for complex multi-step agent workflows
- Human-in-the-loop interrupt support at any graph node
- Parallel node execution for independent agent branches
- Persistent state checkpointing across workflow runs
- Built-in streaming of intermediate steps and reasoning
- LangGraph Cloud for managed deployment with built-in observability
Pros
- • Best framework for agents that need loops, branches, and human checkpoints
- • Graph visualization makes complex agent logic debuggable
- • Tightly integrated with LangChain's 600+ integrations and tools
Cons
- • Steeper learning curve than simpler sequential frameworks
- • Graph mental model is overkill for straightforward linear pipelines
- • LangGraph Cloud adds cost compared to self-hosted options
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