Ag-ui is a open-source protocol that helps the client application to seamlessly interact with the AI frameworks or agents and help in managing streaming UI updates , state management

So let’s dive into the issues when using AI agents with the frontend :

1. Blocking UI : Till the full response is loaded the ui stays blocked and it results into low application interactivity

2. Streaming UI : The problem of blocking UI was overcomed by streaming ui that streams the info bit by bit as the AI thinks and responses

Where does AG-UI fit in the agentic protocol stack?

Features

• 💬 Real-time agentic chat with streaming

• 🔄 Bi-directional state synchronization

• 🧩 Generative UI and structured messages

• 🧠 Real-time context enrichment

• 🛠️ Frontend tool integration

• 🧑‍💻 Human-in-the-loop collaboration

🛠 Supported Frameworks

AG-UI integrates with many popular agent frameworks

Architecture

At its core, AG-UI bridges AI agents and front-end applications using a lightweight, event-driven protocol:

• Front-end: The application (chat or any AI-enabled app) that communicates over AG-UI

• AI Agent A: An agent that the front-end can connect to directly without going through the proxy

• Secure Proxy: An intermediary proxy that securely routes requests from the front-end to multiple AI agents

• Agents B and C: Agents managed by the proxy service

Technical Overview

AG-UI is designed to be lightweight and minimally opinionated, making it easy to integrate with a wide range of agent implementations. The protocol’s flexibility comes from its simple requirements:

1. Event-Driven Communication: Agents need to emit any of the 16 standardized event types during execution, creating a stream of updates that clients can process.

2. Bidirectional Interaction: Agents accept input from users, enabling collaborative workflows where humans and AI work together seamlessly.

https://agui-demo.vercel.app/ - Check out this demo of copilot

Look carefully at the screenshot as the the query fires it starting its research and it also shows the user what it is working on i.e it is keeping the chat interactive and user’s persistent attention by updating the states of the responses on the client side i.e

State 1 : Agent understands the NLP goes into intialize state

State 2 : Agent searches on the internet ( which is in the action mode )

State 3 : AG-UI updates the above states to update the UI in real-time so that it appears that a actual human is talking

Integrations

Frontend Integrations

• CopilotKit - AI Copilots for your product.

Agent Frameworks

• Mastra - The TypeScript Agent Framework

• LangGraph - Balance agent control with agency

• CrewAI - Streamline workflows across industries with powerful AI agents.

• AG2 - The Open-Source AgentOS

• Agno - A full-stack framework for building Multi-Agent Systems

🚀 Getting Started

Create a new AG-UI application in seconds:

AG-UI provides a CLI tool to automatically create or scaffold a new application with any client and server.

npx create-ag-ui-app@latest

We’ll dive into the implementation of the above in the next blog

See you’all in the next one !