LangGraph

What it does

A low-level framework for building long-running, stateful agents as graphs. It provides durable execution (agents resume after failures), human-in-the-loop interrupts and short- and long-term memory. It works on its own or with LangChain and LangSmith. A JS version (LangGraph.js) is also available. MIT licensed.

Who it's for

Developers who need fine control over agent steps and state, beyond a simple tool-calling loop.

How to set it up

1. Install:

   bashCopy

   pip install -U langgraph

2. Follow the official quickstart at docs.langchain.com/oss/python/langgraph/quickstart to build your first graph.

3. Want something higher-level? LangChain's Deep Agents package is built on LangGraph for agents that plan and use subagents.

Check the official LangGraph docs for the latest steps.

Example prompts

Build a LangGraph agent that drafts an email, pauses for my approval, then sends it.

Add persistence so this LangGraph agent can resume after a crash.

Turn this chain of three LLM calls into a LangGraph graph with a retry branch.

Demo