AG-UI: How to Bring AI Agents Into Frontend Applications
Get started with the Agent User Interaction Protocol (AG-UI)
AG-UI standardizes how front-end applications connect to AI agents through an open protocol. Think of it as a universal translator for AI-driven systems- no matter what language an agent speaks: AG-UI ensures fluent communication.
Why AG-UI?
AG-UI helps developers build next-generation AI workflows that need real-time interactivity, live state streaming and human-in-the-loop collaboration.
AG-UI provides:
A straightforward approach to integrating AI agents with the front-end through frameworks such as CopilotKit 🪁
Building blocks for an efficient wire protocol for human⚡️agent communication
Best practices for chat, streaming state updates, human-in-the-loop and shared state
Existing Integrations
AG-UI has been integrated with several popular agent frameworks, making it easy to adopt regardless of your preferred tooling:
LangGraph: Build agent-native applications with shared state and human-in-the-loop workflows using LangGraph’s powerful orchestration capabilities.
CrewAI Flows: Create sequential multi-agent workflows with well-defined stages and process control.
CrewAI Crews: Design collaborative agent teams with specialized roles and inter-agent communication.
Mastra: Leverage TypeScript for building strongly-typed agent implementations with enhanced developer experience.
AG2: Utilize the open-source AgentOS for scalable, production-ready agent deployments.
These integrations make it straightforward to connect your preferred agent framework with frontend applications through the AG-UI protocol.