The 3 AI-native protocols: • MCP (Model Context Protocol): This protocol allows you to connect AI applications to external tools. • A2A (Agent-to-Agent Protocol): Enables AI agents to communicate and coordinate to solve complex tasks. • AG-UI (Agent-User Interaction Protocol): Enables building user-facing AI agents. AG-UI is the newest of all these protocols (less than a month old), and the traction has been wild! If you want to build an agent that co-works with users, you need: • Real-time updates • Tool orchestration • Shared mutable state • Security boundaries • UI synchronization AG-UI gives you all of this. It’s a lightweight, event-streaming protocol (over HTTP/SSE/webhooks) that creates a unified pipe between your agent backend (OpenAI, Ollama, LangGraph, custom code) and your frontend. Here is how it works: • Client sends a POST request to the agent endpoint • Then listens to a unified event stream over HTTP • Each event includes a type and a minimal payload • Agents emit events in real-time • The frontend can react immediately to these events • The frontend emits events and context back to the agent As of right now, AG-UI integrates with LangChain, CrewAI, Mastra, AG2, Agno, and LlamaIndex. They are adding support to AWS, A2A, ADK, AgentOps, among others. This is the way to build interactive, agent-driven applications. You can build your first AG-UI-powered application with a single command: $ npx create-ag-ui-app Check the protocol GitHub repository: github.com/ag-ui-protocol/ag…