Build generative UI for AI agents on Amazon Bedrock AgentCore with the AG-UI protocol

This article demonstrates how to build interactive AI agent frontends on Amazon Bedrock AgentCore using the AG-UI protocol, enabling generative UI, shared state, and human-in-the-loop interactions.

• AG-UI is an open protocol that standardizes communication between agent backends and frontends, supporting multiple frameworks like Strands Agents, LangGraph, and CrewAI
• FAST (Fullstack AgentCore Solution Template) provides two new AG-UI patterns that allow a single frontend parser to work with both Strands and LangGraph backends
• AgentCore Runtime acts as a transparent proxy, handling authentication, session isolation, scaling, and observability for deployed agent containers
• CopilotKit extends AG-UI with generative UI capabilities, allowing agents to render custom React components inline in conversations
• Shared state synchronization enables bidirectional updates between agent and UI, such as a todo canvas that updates in real time
• Human-in-the-loop interactions allow agents to pause execution and wait for user input through UI components like time pickers
• Both FAST and CopilotKit samples deploy on AgentCore with managed authentication via Amazon Cognito and persistent conversations through AgentCore Memory

AG-UI enables decoupled, framework-agnostic agent frontends with rich interactive capabilities, simplifying development of sophisticated agentic applications on AWS.