AG-UI Working Group Meeting #2 (Webinar)

Support open source and star ⭐ the AG-UI GitHub repo: github.com/ag-ui-protocol​

Get started with the Agent User Interaction Protocol (AG-UI)
docs.ag-ui.com/quickstart/build

​AG-UI standardizes how front-end applications connect to AI agents through an open protocol. Think of it as a universal translator for AI-driven systems- no matter what language an agent speaks: AG-UI ensures fluent communication.

​Why AG-UI?

​AG-UI helps developers build next-generation AI workflows that need real-time interactivity, live state streaming and human-in-the-loop collaboration.

​AG-UI provides:

​A straightforward approach to integrating AI agents with the front-end through frameworks such as CopilotKit 🪁

​Building blocks for an efficient wire protocol for human⚡️agent communication

​Best practices for chat, streaming state updates, human-in-the-loop and shared state

​Existing Integrations

​AG-UI has been integrated with several popular agent frameworks, making it easy to adopt regardless of your preferred tooling:

​LangGraph: Build agent-native applications with shared state and human-in-the-loop workflows using LangGraph’s powerful orchestration capabilities.

​CrewAI Flows: Create sequential multi-agent workflows with well-defined stages and process control.

​CrewAI Crews: Design collaborative agent teams with specialized roles and inter-agent communication.

​Mastra: Leverage TypeScript for building strongly-typed agent implementations with enhanced developer experience.

​AG2: Utilize the open-source AgentOS for scalable, production-ready agent deployments.

​These integrations make it straightforward to connect your preferred agent framework with frontend applications through the AG-UI protocol