AG-UI is an open, lightweight, event-based protocol that standardizes how AI agents connect to user-facing applications. Built for simplicity and flexibility, it enables seamless integration between AI agents, real time user context, and user interfaces.
Join our Discord → Read the Docs → Go to the AG-UI Dojo → Follow us →
Create a new AG-UI application in seconds:
npx create-ag-ui-app my-agent-app- The AG-UI Dojo
- Build AG-UI-powered applications(Quickstart)
- Build new AG-UI framework integrations (Quickstart)
- Book a call to discuss an AG-UI integration with a new framework
- Join the Discord Community
AG-UI is an open, lightweight, event-based protocol for agent-human interaction, designed for simplicity & flexibility:
- During agent executions, agent backends emit events compatible with one of AG-UI's ~16 standard event types
- Agent backends can accept one of a few simple AG-UI compatible inputs as arguments
AG-UI includes a flexible middleware layer that ensures compatibility across diverse environments:
- Works with any event transport (SSE, WebSockets, webhooks, etc.)
- Allows for loose event format matching, enabling broad agent and app interoperability
It also ships with a reference HTTP implementation and default connector to help teams get started fast.
AG-UI was developed based on real-world requirements and practical experience building in-app agent interactions.
AG-UI is complementary to the other 2 top agentic protocols
- MCP gives agents tools
- A2A allows agents to communicate with other agents
- AG-UI brings agents into user-facing applications
- 💬 Real-time agentic chat with streaming
- 🔄 Bi-directional state synchronization
- 🧩 Generative UI and structured messages
- 🧠 Real-time context enrichment
- 🛠️ Frontend tool integration
- 🧑💻 Human-in-the-loop collaboration
AG-UI was born from CopilotKit's initial partnership with LangGraph and CrewAI - and brings the incredibly popular agent-user-interactivity infrastructure to the wider agentic ecosystem.
1st party = the platforms that have AG‑UI built in and provide documentation for guidance.
| Framework | Status | AG-UI Resources |
|---|---|---|
| Direct to LLM | ✅ Supported | ➡️ Docs |
| Framework | Status | AG-UI Resources |
|---|---|---|
| LangGraph | ✅ Supported | ➡️ Docs 🎮 Demos |
| CrewAI | ✅ Supported | ➡️ Docs 🎮 Demos |
| Framework | Status | AG-UI Resources |
|---|---|---|
| Microsoft Agent Framework | ✅ Supported | ➡️ Docs 🎮 Demos |
| Google ADK | ✅ Supported | ➡️ Docs 🎮 Demos |
| Mastra | ✅ Supported | ➡️ Docs 🎮 Demos |
| Pydantic AI | ✅ Supported | ➡️ Docs 🎮 Demos |
| Agno | ✅ Supported | ➡️ Docs 🎮 Demos |
| LlamaIndex | ✅ Supported | ➡️ Docs 🎮 Demos |
| AG2 | ✅ Supported | ➡️ Docs |
| AWS Bedrock Agents | 🛠️ In Progress | – |
| AWS Strands Agents | 🛠️ In Progress | – |
| Framework | Status | AG-UI Resources |
|---|---|---|
| Vercel AI SDK | ✅ Supported | ➡️ Docs |
| OpenAI Agent SDK | 🛠️ In Progress | – |
| Cloudflare Agents | 🛠️ In Progress | – |
| Protocols | Status | AG-UI Resources | Integrations |
|---|---|---|---|
| A2A | ✅ Supported | ➡️ Docs | Partnership |
| SDK | Status | AG-UI Resources | Integrations |
|---|---|---|---|
| Kotlin | ✅ Supported | ➡️ Getting Started | Community |
| Golang | ✅ Supported | ➡️ Getting Started | Community |
| Dart | ✅ Supported | ➡️ Getting Started | Community |
| Java | ✅ Supported | ➡️ Getting Started | Community |
| Rust | ✅ Supported | ➡️ Getting Started | Community |
| .NET | 🛠️ In Progress | ➡️ PR | Community |
| Nim | 🛠️ In Progress | ➡️ PR | Community |
| Flowise | 🛠️ In Progress | ➡️ GitHub Source | Community |
| Langflow | 🛠️ In Progress | ➡️ GitHub Source | Community |
| Client | Status | AG-UI Resources | Integrations |
|---|---|---|---|
| CopilotKit | ✅ Supported | ➡️ Getting Started | 1st Party |
| Terminal + Agent | ✅ Supported | ➡️ Getting Started | Community |
| React Native | 🛠️ Help Wanted | ➡️ GitHub Source | Community |
View all supported integrations →
Video:
agui-hello-world-2.mp4
The AG-UI Dojo demonstrates AG-UI's core building blocks through simple, focused examples—each just 50-200 lines of code.
View the source code for the Dojo and all framework integrations here.
dojo.mp4
Check out the Contributing guide
- Bi-Weekely AG-UI Working Group 📅 Follow the CopilotKit Luma Events Calendar
Check out the AG-UI Roadmap to see what's being built and where you can jump in.
AG-UI is open source software licensed as MIT.