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LangGraph
LangGraph is a low-level orchestration framework from the LangChain team for building stateful, multi-step agent workflows. It provides fine-grained control over execution flow with persistent state, human-in-the-loop checkpoints, and cycle support — ideal for complex agents that need more than simple chain sequencing.
Overview
"LangGraph" is a "Open Source" resource curated by AI Resource Hub, filed under the AI Agents category and suited to Advanced-level learners. It is provided by LangChain, was last updated on 2026-06-25, and holds an editorial score of 4.6/5 from our team. Click "Visit Resource" on the right to open the original page.
Tags
LangGraphAgentWorkflowFramework
Key Features
- ▹Model agents as explicit state graphs
- ▹Control, loops, and persistence
- ▹Built on the LangChain ecosystem
Pros
- +Reliable, controllable agent workflows
- +Good for complex, stateful agents
- +First-class persistence, streaming, and human-in-the-loop
Cons
- −More concepts to learn
- −Graph abstraction is overkill for simple prompts
- −Fast-moving API; docs can lag behind
FAQ
Visit Resource →
Details
- Pricing
- Free and open source
- Author
- LangChain
- Editorial score
- ★ 4.6 / 5
- Last updated
- Jun 25, 2026