LangGraph is an agent runtime and low-level orchestration framework from the LangChain team, positioned around balancing agent control with agency. It uses graph-based primitives to build customizable single-agent, multi-agent, and hierarchical control flows, with memory, human-in-the-loop checks, persistence, and production deployment patterns for reliable agent systems.
Features
- Graph-based agent orchestration
- State and persistence
- Human-in-the-loop controls
- Multi-agent and hierarchical flows
- Built-in memory
- Production deployment patterns
Use Cases
- Reliable agent workflows
- Multi-step task orchestration
- Human-approved agents
- Recoverable execution flows
- Multi-agent systems
- Enterprise agent prototype-to-production
FAQ
LangGraph is an agent runtime and low-level orchestration framework from the LangChain team, positioned around balancing agent control with agency. It uses graph-based primitives to build customizable single-agent, multi-agent, and hierarchical control flows, with memory, human-in-the-loop checks, persistence, and production deployment patterns for reliable agent systems. Core capabilities include: Graph-based agent orchestration, State and persistence, Human-in-the-loop controls.
Common scenarios include: Reliable agent workflows, Multi-step task orchestration, Human-approved agents.
