Multi-Agent Systems with LangGraph

Build AI Agents with LangGraph

Design and build your own agents with LangGraph! LangGraph is a core part of the LangChain ecosystem, and it's used to build production-ready AI agents with a high degree of customizability. LangGraph allows developers to build agents as graphs with nodes and edges, which allows information flow and decision pathways to be carefully mapped out, and reduces the room for unexpected errors to creep in.

Explore Emerging Multi-Agent Architectures

Since the rise of AI agents, a handful of agentic design patterns have emerged, and you'll learn about two of the most popular: network (or decentralized) multi-agents and supervisor multi-agents. Manage multiple agents effectively by designing a supervisor agent to delegate tasks and encourage collaboration between the worker agents.

Create Your Own Agentic Assistant

You'll use LangGraph to build an agentic assistant to gather information and stock performance data on Fortune 500 companies, and analyze it using visualizations!

You'll see this agent progress from a simple single-agent system to a three-agent supervisor multi-agent! Join the growing number of AI builders and learn to design and build AI agents today!