LangGraph: Stateful Agent Orchestration as Graphs#
Production-grade framework from the LangChain ecosystem. Models agent workflows as explicit state-machine graphs — nodes are LLM calls or tools, edges define transitions. The most production-ready open-source multi-agent framework.
Core Architecture#
- Directed finite graphs with conditional edges and cycle support
- Checkpointing: pause/resume at any point, survive restarts
- Human-in-the-loop at any node (first-class, not bolted on)
- Streaming intermediate results
- Stateful execution with persistent state across steps
Key Differentiator: Checkpointing#
Workflows can pause mid-execution, resume later, survive process restarts, and support human review at any node. This is what makes it production-ready where others are research-grade.
Plan-then-Execute Pattern#
Planner node → executor node → optional re-planner. Formal security invariants enforceable at graph level.
Convergence Signal#
AutoGen’s Microsoft Agent Framework is also moving to graph-based workflows with typed nodes and edges. This convergence suggests graphs are becoming the consensus architecture for production multi-agent systems.