---
title: "LangGraph"
type: agent
id: "langgraph"
category: "dev-framework"
category_label: "Dev Framework"
description: "Graph-based multi-agent orchestration framework by the LangChain team. Enables stateful workflows with cycles, persistence, and human-in-the-loop patterns. The most searched agent framework with 27,100 monthly searches."
last_updated: "2026-04-10"
website: "https://langchain-ai.github.io/langgraph/"
github: "https://github.com/langchain-ai/langgraph"
stars: "8,200+"
license: "Apache 2.0"
pricing: "Free / Open Source (LangSmith cloud plans available)"
languages:
- "Python"
- "JavaScript"
tags:
- "dev-framework"
- "python"
- "javascript"
best_for:
- "Complex multi-step workflows"
- "Multi-agent systems"
- "Stateful agent applications"
- "Production agent pipelines"
---

# LangGraph

The most searched agent framework on the internet -- 27,100 monthly searches -- and the go-to choice when you need complex, stateful agent workflows with cycles, branching, and human-in-the-loop checkpoints.

LangGraph's graph-based model is genuinely different from the role-playing approach of CrewAI or the linear pipelines most frameworks default to. You define nodes and edges, which means your agents can loop, retry, branch conditionally, and checkpoint state at any point. This makes it the right tool for production workflows where agents need to handle failure gracefully, wait for human approval, or revisit earlier steps. Built-in persistence means you can resume interrupted workflows, which is table stakes for anything beyond demos.

The LangChain ecosystem is both the strength and the baggage. You get LangSmith for observability, a massive integration library, and strong community support in both Python and JavaScript. But the abstraction layers can feel heavy if you just want a simple agent -- you are paying a complexity tax for capabilities you might not need. The 8,200 stars trail CrewAI's 28K and AutoGen's 42K, though search volume suggests real production usage over hype.

**When to pick something else:** If you want the simplest multi-agent setup with role-based collaboration, CrewAI is faster to prototype. If you are locked into OpenAI, their Agents SDK has less overhead. If you want TypeScript-first with built-in RAG, Mastra is purpose-built for that. If you just need a vendor SDK, the Anthropic or Google ADK options are thinner and more direct.