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.

41.9k 43.2k 44.5k Sep 24, 2026 Nov 2, 2026
GitHub stars for LangGraph: 42,062 on Sep 24, 2026, 44,321 on Nov 2, 2026. Source: GitHub.

Ranking history

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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Last updated Nov 2, 2026. Tracked since Oct 28, 2026. The summary was written by an AI model from the project's own description and checked against our copy rules. Spotted an error? Tell us.