AG-UI (Agent-User Interaction Protocol) is an open, lightweight, event-based protocol that standardizes how AI agents connect to front-end applications through real-time streaming, state management, and human-in-the-loop interactions.
https://ag-ui.com/?ref=aipure
AG-UI

Product Information

Updated:May 20, 2025

What is AG-UI

AG-UI addresses a critical gap in the AI agent ecosystem by providing a standardized communication layer between backend AI agents and frontend applications. While tools like LangChain, LangGraph, and CrewAI excel at orchestrating complex AI workflows, the interaction layer between agents and user interfaces has remained fragmented. AG-UI solves this by establishing a structured protocol that enables seamless, real-time communication through a stream of JSON events, making it easier for developers to build interactive AI-powered applications.

Key Features of AG-UI

AG-UI is an open, lightweight, event-based protocol that standardizes communication between AI agents and frontend applications. It provides real-time streaming, bidirectional interaction, and tool orchestration capabilities while maintaining perfect synchronization between agent backends and frontend interfaces through a series of standardized events, making it easy to build interactive AI-powered applications.
Real-time Event Streaming: Supports token-by-token streaming of LLM outputs and enables instant UI updates without blocking on full responses through 16 standardized event types
Transport Layer Flexibility: Supports multiple transport mechanisms including Server-Sent Events (SSE), WebSockets, and webhooks, allowing developers to choose the best method for their architecture
Tool Orchestration: Enables agents to call functions, run code, and interact with APIs while maintaining context and supporting human-in-the-loop approval processes
Shared Mutable State: Maintains synchronized state between frontend and backend for evolving plans, tables, or code folders that change step-by-step

Use Cases of AG-UI

AI-Powered Chat Interfaces: Building interactive chat applications with real-time streaming responses and dynamic UI updates
Collaborative Development Tools: Creating coding assistants and development tools where AI agents work alongside human developers with shared context
Multi-Agent Systems: Developing applications where multiple AI agents collaborate and interact with users through a unified interface
Human-in-the-Loop Workflows: Building systems that require human oversight and approval while maintaining continuous interaction with AI agents

Pros

Lightweight and easy to integrate with existing systems
Framework-agnostic with support for multiple transport methods
Standardized event system ensures consistent communication patterns

Cons

Relatively new protocol with evolving specifications
Limited ecosystem compared to more established protocols

How to Use AG-UI

Install AG-UI: Install AG-UI protocol and required dependencies using your package manager (npm/yarn/poetry) depending on your tech stack
Set up environment: Set your OpenAI API key as an environment variable: export OPENAI_API_KEY=your-api-key
Create an AG-UI agent: Implement an agent class that extends AbstractAgent from @ag-ui/client and implements the required event emitters
Define event handlers: Set up handlers for the 16 standardized AG-UI events like RUN_STARTED, TEXT_MESSAGE_START, TEXT_MESSAGE_CONTENT, etc.
Set up HTTP endpoint: Create an HTTP endpoint that implements the AG-UI protocol to handle agent-UI communication using Server-Sent Events (SSE)
Connect frontend UI: Use CopilotKit React components or build custom UI components that consume the AG-UI event stream
Enable bidirectional communication: Implement handlers for user input and feedback to enable collaborative workflows between human and agent
Test the integration: Run your server (e.g. poetry run uvicorn endpoint:app --reload) and test the agent-UI interaction
Add advanced features: Implement additional features like tool calls, reasoning steps, multi-modality support as needed for your use case
Deploy and scale: Deploy your AG-UI implementation and scale using the proxy service to manage multiple agents if needed

AG-UI FAQs

AG-UI is an open, lightweight, event-based protocol that standardizes how AI agents connect to front-end applications. It acts as a universal translator for AI-driven systems to ensure fluent communication between agents and user interfaces.

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