LangGraph integrations

LangGraph integrates with a growing ecosystem of tools and protocols that help you connect your agents to user interfaces, standardize agent definitions, and build production-ready applications. LangGraph integrations span two categories:

• Front-end integrations — Connect LangGraph agents to user interfaces
• Standards and interoperability — Portable agent definitions across runtimes

Front-end integrations

Front-end integrations provide a lightweight bridge between LangGraph and user interfaces, allowing you to connect your agents to user interfaces with streaming state updates and human-in-the-loop support.

AG-UI Python

Open event-based protocol that standardizes how AI agents connect to user-facing applications. Provides a lightweight bridge between LangGraph and any front end with streaming state updates and human-in-the-loop support.

CopilotKit

Open-source React framework for building AI copilots. Built on AG-UI, it provides pre-built UI components and deep LangGraph integration for embedding agents directly into React and Next.js applications.

Standards and interoperability

Integrations for standards and interoperability provide a portable way to define agentic systems across different runtimes.

Open Agent Spec (PyAgentSpec)

Framework-agnostic declarative language by Oracle for defining agentic systems. Define agents and workflows in a portable JSON/YAML format that can be executed across different runtimes.

---

Edit the source of this page on GitHub.

Connect these docs programmatically to Claude, VSCode, and more via MCP for real-time answers.