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AG-UI - An open-source license for AI Agent interaction with front-end applications.

AG-UI (Agent-User Interaction Protocol) is an open-source, lightweight, event-based protocol that supports standardized interactions between AI agents and front-end applications. AG-UI defines 16 standard event types...

What is AG-UI?

AG-UI (Agent-User Interaction Protocol) is an open-source, lightweight, event-based protocol that supports standardized interaction between AI agents and front-end applications. AG-UI defines 16 standard event types and supports multiple transmission methods such as SSE, WebSocket, and Webhook, enabling streaming communication and bidirectional state synchronization. AG-UI boasts high flexibility and compatibility, supporting seamless integration with multiple agent frameworks such as LangGraph and CrewAI. AG-UI facilitates developers in quickly building interactive AI applications, such as intelligent customer service and intelligent question-and-answer interfaces, significantly improving development efficiency and user experience.

AG-UI's main functions

  • Event-driven communicationDefines 16 standard event types and supports real-time interaction.
  • Bidirectional state synchronizationThe Agent synchronizes with the front-end status in real time to ensure UI updates.
  • Streaming supportSupports transmission methods such as SSE, WebSocket, and Webhook.
  • Structured Messaging and UI ControlsSupports generative UI and card-style replies.
  • Multi-Agent IntegrationSupports multi-agent collaboration and works in conjunction with protocols such as MCP and A2A.
  • Flexible framework compatibilityIt is compatible with frameworks such as LangGraph and CrewAI, and provides TypeScript and Python SDKs.

AG-UI's technical principles

  • Event-driven architectureThis is an event-driven communication method where the Agent emits a series of events during execution, which are captured and processed by the front-end application. Standardized event types ensure compatibility and interoperability between different Agents and front-end applications.
  • Flexibility of transmission mechanismAG-UI does not force the use of a specific transmission mechanism and supports multiple transmission methods such as SSE, WebSocket, and Webhook. Developers can choose the most suitable transmission method according to their specific needs to ensure the efficiency and reliability of data transmission.
  • Middleware layerAG-UI includes a flexible middleware layer that ensures the event formats of different agent frameworks are compatible with the AG-UI standard. The middleware layer allows agent frameworks to adapt to the AG-UI protocol with minimal modifications, improving the protocol's versatility and ease of use.
  • Reference ImplementationAG-UI provides a reference HTTP implementation and a default connector to help developers quickly get started with their projects. The reference implementation provides concrete examples to reduce the difficulty of development.
  • Security AgentSecure agents ensure secure request routing and protect communication between the agent and the front-end application. They also prevent data leaks and malicious attacks, ensuring application security.

AG-UI project address

Application scenarios of AG-UI

  • Intelligent Customer Service SystemQuickly build AI customer service to enable functions such as automatic replies, question answering, and work order generation, thereby improving customer service efficiency.
  • Intelligent question and answer interfaceDevelop an intelligent question-and-answer UI to provide users with real-time, accurate answers and enhance user experience.
  • Multi-Agent Collaboration Platform: To create a platform for multi-agent collaboration, supporting interaction and task allocation between different agents, and improving the ability to handle complex tasks.
  • Embedded device interactionIntegrating AI Agents into embedded devices enables intelligent control and interaction of the devices.
  • Real-time collaboration toolsBuild real-time collaboration tools that support multi-person online collaboration, synchronize data and status in real time, and improve team collaboration efficiency.
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