agui

Build real-time streaming AI agent applications using the AG-UI protocol.

3|Updated Jan 28, 2026
One-click install
npx skills add https://github.com/ldmrepo/michael --skill agui
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: agui
Source: https://github.com/ldmrepo/michael/tree/main/.claude/skills/agui
Command: npx skills add https://github.com/ldmrepo/michael --skill agui

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

The AG-UI Skill provides a comprehensive guide and tooling for building AI agent applications that use the AG-UI protocol, enabling real-time streaming, tool execution, and human-in-the-loop workflows across web interfaces.

Core Features & Use Cases

  • Real-time streaming of assistant responses via Server-Sent Events (SSE) and bidirectional communication between frontend and backend.
  • Backend and frontend tool execution to support complex agent workflows, including human approvals and session management.
  • Reference architectures and practical examples for building web-based AI agents that integrate with common frameworks and clients.

Quick Start

Set up a minimal AG-UI server, connect a client, and send a simple greeting to observe streaming responses and tool events.

Frequently Asked Questions about agui

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I build real-time streaming AI agent applications with SSE?

Real-time streaming AI agents use Server-Sent Events (SSE) to push assistant responses from backend to frontend as they generate. AG-UI provides a protocol and reference implementation for bidirectional communication, tool execution, and session management across web clients, enabling live agent interactions without polling.

What is the AG-UI protocol and when should I use it?

AG-UI is a protocol for web-based AI agents that supports streaming responses, backend and frontend tool execution, and human-in-the-loop workflows. Use it when you need real-time agent interaction, multi-client sessions, tool invocation, and human approval loops in a web interface.

Can I execute both backend and frontend tools in an AI agent application?

Yes. AG-UI agents support dual tool execution—backend tools for server-side operations and frontend tools for client-side actions. This enables complex workflows like human approvals, session management, and distributed processing across your application stack.

What infrastructure do I need to set up an AG-UI server?

An AG-UI server requires SSE streaming capability, tool invocation support, and session management. You also need a frontend client to render responses. AG-UI provides minimal quick-start examples and reference architectures to integrate with common frameworks.

How do I set up human-in-the-loop workflows in an AI agent?

Human-in-the-loop workflows in AG-UI agents involve streaming responses to a frontend client, pausing for user approval or input via frontend tools, and resuming backend execution. Session management preserves state across client interactions, enabling asynchronous human decision points.

Does AG-UI work with multiple concurrent clients?

Yes. AG-UI's session management and bidirectional communication support multiple clients connecting to the same backend server. Each client receives streamed responses and can execute frontend tools independently while sharing backend state through the session.