AI AGENTS
LangGraph
by LangChain
Overview
Low-level orchestration framework and runtime for building, managing, and deploying long-running, stateful AI agents and multi-agent workflows.
Details
LangGraph is a LangChain project described by its official site, documentation, and GitHub page as a low-level orchestration framework and runtime for building, managing, and deploying long-running, stateful AI agents and multi-agent workflows. It is positioned around agent orchestration and multi-agent workflow development rather than a single hosted assistant.
When to Use
Use LangGraph when you need a low-level framework for orchestrating stateful AI agents. Use LangGraph when building long-running agent workflows or multi-agent workflows. Use LangGraph when you need a runtime associated with managing and deploying agent workflows.
Getting Started
- Review the LangGraph product page for the high-level positioning.
- Read the LangGraph documentation overview.
- Inspect the LangGraph GitHub repository before implementation or production use.
Key Features
- •Low-level orchestration framework for AI agents
- •Runtime for long-running
- •stateful AI agents
- •Supports building multi-agent workflows
- •Official documentation and GitHub repository are available
Capabilities
- •agent orchestration
- •stateful agent workflows
- •multi-agent workflows
- •agent runtime
Last updated Jun 6, 2026