LangGraph
LangGraph organizes stateful agent workflows as graphs, supporting branching, loops, memory and human-in-the-loop steps.
Overview
LangGraph helps teams move from one-shot prompts to controlled agent workflows. Developers model nodes, edges and state transitions for customer support, research, approval, coding and operations automation.
Source note
Official docs and public repository are used as references.
Use cases
- Build stateful agent applications
- Add human approval or fallback steps
- Implement branching and looping automation tasks
Best for
- Developers familiar with the LangChain ecosystem
- Product teams building complex agent flows
- Engineering teams integrating agents into business systems
Setup
Choose an SDK, define graph nodes and state, then connect models and business tools.
Risk note
Complex state flows need logging and guardrails to avoid loops, excessive permissions or unexplainable outputs.
FAQ
Can I download LangGraph from this directory?
This listing currently provides official source links only and does not mirror third-party assets.
Who is LangGraph best for?
Developers familiar with the LangChain ecosystem, Product teams building complex agent flows, Engineering teams integrating agents into business systems
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