About LangGraph
A low-level orchestration framework (from the Lang ecosystem) that models agent execution as graphs, enabling explicit control flow, state management, long-running stateful agents, and human-in-the-loop checkpoints.
Key Features
- Graph-based execution model for explicit control-flow (branching, loops, retries)
- Stateful agent orchestration with built-in memory and durable execution
- Human-in-the-loop support and moderation checkpoints
- SDKs for Python and JavaScript and integration with LangChain components
Use Cases & Best For
Teams building production-grade agents requiring deterministic control flow and reliability
Use cases needing long-running stateful workflows with observability
About Agent Frameworks
Build autonomous AI agents and workflows