LangGraph
Information
LangGraph is a framework for building stateful, graph-based LLM and agent workflows.
It is commonly used when simple chains are not enough and you need explicit control over workflow steps, branching, loops, retries, checkpoints, or multi-agent orchestration.
What is it for?
Typical LangGraph use cases include:
- agent workflows with multiple steps and decision points
- long-running tasks with persisted state
- human-in-the-loop approvals
- tool-calling flows with retries and fallback paths
- multi-agent systems where specialized agents cooperate
Usage
LangGraph is closely related to the LangChain ecosystem and is typically used when you want a graph/state-machine
approach rather than only linear chains.
Similar Software
- LangChain: General framework for LLM applications and chains.
- CrewAI: Role-based multi-agent orchestration.
- Haystack: Search, retrieval, and RAG pipelines.