AG-UI: Agent-User Interaction Protocol
Lightning Talk - 10 minutes
๐ Interactive Presentation: View Live Slides
๐น Video Recordingโ
๐ฏ What is AG-UI?โ
AG-UI is the Agent-User Interaction Protocol - think of it as "USB-C for AI agents!"
- Open, lightweight, event-driven protocol
- Universal translator for AI-driven systems
- Standardizes frontend-to-agent communication
- Real-time human-AI collaboration
๐จ The Problem It Solvesโ
Current Pain Pointsโ
- Agents live in backend silos - no standard UI integration
- Custom WebSocket implementations for each framework
- No standard for real-time interaction between humans and agents
- Fragmented agent-to-UI communication across platforms
- Human-in-the-loop workflows are complex to implement
โก Core Capabilitiesโ
- ๐ Real-time interactivity - Sub-100ms latency
- ๐ก Live state streaming - Watch agents work in real-time
- ๐ค Human-in-the-loop collaboration - Interrupt and guide agents
- ๐ Token-by-token text streaming - See AI thinking live
- ๐ Tool execution transparency - Monitor what agents are doing
- โ๏ธ Bidirectional communication - True conversation flow
๐๏ธ Event-Driven Architectureโ
16 Standardized Event Types across 5 Categories:โ
Lifecycle Events (5)โ
RUN_STARTED
,RUN_FINISHED
,RUN_ERROR
STEP_STARTED
,STEP_FINISHED
Text Message Events (3)โ
TEXT_MESSAGE_START
,TEXT_MESSAGE_CONTENT
,TEXT_MESSAGE_END
Tool Call Events (3)โ
TOOL_CALL_START
,TOOL_CALL_ARGS
,TOOL_CALL_END
State Management Events (3)โ
STATE_SNAPSHOT
,STATE_DELTA
,MESSAGES_SNAPSHOT
Special Events (2)โ
RAW
,CUSTOM
Transport Optionsโ
- JSON events over HTTP/SSE
- Optional binary protocol for 60% smaller payloads
- Transport agnostic - HTTP/SSE/WebSockets
๐ง Framework Integrationsโ
โ Currently Supportedโ
- LangGraph - Graph-based agent orchestration
- CrewAI - Multi-agent workflows
- Mastra - TypeScript-first agents
- AG2 - Open-source AgentOS
๐ง Coming Soonโ
- Bedrock - AWS managed agents
๐ Protocol Ecosystemโ
AG-UI complements (doesn't compete with) other protocols:
MCP (Model Context Protocol)โ
- By: Anthropic
- Purpose: Agent โ Tools communication
A2A (Agent-to-Agent Protocol)โ
- By: Google
- Purpose: Agent โ Agent communication
AG-UI (Agent-User Interaction Protocol)โ
- By: CopilotKit
- Purpose: Agent โ Human interaction
These protocols work together to create a complete AI ecosystem!
๐ฏ Real-World Use Casesโ
๐ป Live Code Pairingโ
AI writes code token-by-token, human can interrupt and collaborate
๐ Data Analysis Dashboardsโ
Real-time query execution with human oversight
๐ค Multi-Agent Orchestrationโ
Human supervisors monitoring agent workflows
๐จ Creative Design Toolsโ
AI generates designs with live previews and human feedback
๐ Technical Benefitsโ
- Sub-100ms latency for token streaming
- 60% smaller payloads with binary protocol
- Transport agnostic (HTTP/SSE/WebSockets)
- Framework agnostic - works with any agent system
- State delta syncing reduces bandwidth
- Built-in security and error handling
๐ ๏ธ Getting Startedโ
Resourcesโ
- ๐ Documentation: docs.ag-ui.com
- ๐งช Live Demo: agui-demo.vercel.app
- ๐ป GitHub: github.com/ag-ui-protocol/ag-ui
- ๐ ๏ธ SDKs: TypeScript and Python available
Quick Startโ
Start building human-AI collaborative apps today with standardized real-time interaction!
๐ Related Contentโ
- MCP Architecture & A2A - Deep dive into protocol ecosystem
- AI Ecosystem 2025 - Broader context of AI development tools
- Resources - Implementation guides and tools
AG-UI represents the missing piece in the AI protocol ecosystem - standardized human-agent interaction that enables true collaborative AI applications.