LangGraph
LangGraph is a framework that helps developers build long-running agents that keep their state and resume after failures.
What it is good for
- Building agents that resume after crashes or interruptions
- Adding human review steps into an agent's workflow
- Giving an agent short-term and long-term memory
- Debugging and tracing what an agent did step by step
At a glance
- Who it is for
- Setup
- Requires programming
Level 5 of 5. You need to write code to use it.
- Cost
- Free and open source
- Type
- Framework or SDK
- Tasks
- Works with
- LangChain, LangSmith, Deep Agents, OpenAI, Gemini
Momentum
- Rank this week
- #43 in builder tools
- Best rank
- #36 week 41, 2026
- Stars gained last week
- +435
- GitHub stars
- 44,321
GitHub numbers as of Nov 2, 2026. Updated weekly.
Ranking history
- #43 in week 44, 2026
- #39 in week 43, 2026
- #41 in week 42, 2026
- #36 in week 41, 2026
- #42 in week 40, 2026
Official links
Setup steps are on the official pages. We do not repeat them here, since they change.
Questions
- Is LangGraph free?
- Yes. It is free and open source (MIT license).
- Do I need to know how to code to use LangGraph?
- Yes. You need to write code to use it.
- What does LangGraph work with?
- According to its own documentation, it works with LangChain, LangSmith, Deep Agents, OpenAI, and Gemini.
- What is LangGraph good for?
- Building agents that resume after crashes or interruptions, adding human review steps into an agent's workflow, giving an agent short-term and long-term memory, and debugging and tracing what an agent did step by step.
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