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LangGraph

Build resilient AI agents with LangGraph — LangChain's stateful orchestration framework

★ 35,909 GitHub MIT agentsorchestrationlangchainstate-graphworkflow AI Agents

Overview

LangGraph is a framework by LangChain for building stateful, multi-actor AI agent workflows. It lets developers define agent behavior as graphs combining reasoning, tool use, and memory in a modular, composable architecture. With 35k+ GitHub stars, it has become the go-to framework for production-grade agent orchestration, enabling everything from simple ReAct agents to complex multi-actor systems with parallel execution and human-in-the-loop feedback.

Requirements

Min vCPU
1
Min RAM
1024 MB
Min Disk
10 GB
Rec vCPU
2
Rec RAM
2048 MB
Rec Disk
20 GB

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Guides & articles

Why LangGraph Is the Framework of Choice for Production AI Agents

Discover why LangGraph's graph-based architecture, stateful execution, and human-in-the-loop support make it the go-to framework for building reliable, production-grade AI agents.

Jun 28, 2026

LangGraph: A Practical Guide to Building Agent Workflows with State Graphs

Learn how LangGraph uses state graphs to build resilient, production-grade AI agent workflows with branching logic, parallel execution, and human-in-the-loop feedback.

Jun 28, 2026