---
title: "ag-ui"
type: "tool"
slug: "ag-ui-protocol-ag-ui"
canonical_url: "https://www.graphcanon.com/tools/ag-ui-protocol-ag-ui"
github_url: "https://github.com/ag-ui-protocol/ag-ui"
homepage_url: "https://ag-ui.com"
stars: 14607
forks: 1318
primary_language: "TypeScript"
license: "MIT"
categories: ["ai-agents"]
tags: ["agent-user-interaction", "flexible-middleware-layer", "frontend-integration", "standard-event-types", "event-based-protocol"]
updated_at: "2026-07-07T19:47:06.96551+00:00"
---
# ag-ui
> The Agent-User Interaction Protocol
Open, lightweight event-based protocol for AI agents to interact with frontend applications.
## Facts
- Repository: https://github.com/ag-ui-protocol/ag-ui
- Homepage: https://ag-ui.com
- Stars: 14,607 · Forks: 1,318 · Open issues: 305 · Watchers: 86
- Primary language: TypeScript
- License: MIT
- Last pushed: 2026-07-06T21:41:06+00:00
## Categories
- [AI Agents](/categories/ai-agents.md)
## Tags
agent-user interaction, flexible middleware layer, frontend integration, standard event types, event-based protocol
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## README (excerpt)
```text
# 
AG-UI: The Agent-User Interaction Protocol
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 →
## 🚀 Getting Started
Create a new AG-UI application in seconds:
```bash
npx create-ag-ui-app my-agent-app
```
Useful Links:
- [The AG-UI Dojo](https://dojo.ag-ui.com/)
- [Build AG-UI-powered applications(Quickstart)](https://docs.ag-ui.com/quickstart/applications)
- [Build new AG-UI framework integrations (Quickstart)](https://go.copilotkit.ai/agui-contribute)
- [Book a call to discuss an AG-UI integration with a new framework](https://calendly.com/markus-copilotkit/ag-ui)
- [Join the Discord Community](https://discord.gg/Jd3FzfdJa8)
## What is AG-UI?
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.
[Learn more about the specs →](https://go.copilotkit.ai/ag-ui-introduction)
## Why AG-UI?
AG-UI was developed based on real-world requirements and practical experience building in-app agent interactions.
## Where does AGUI fit in the agentic protocol stack?
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
## 🚀 Features
- 💬 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
## 🛠 Supported Integrations
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.
## Frameworks
| Framework | Status | AG-UI Resources |
| ------------------------------------------------------------------ | ------------------------ | -------------------------------------------------------------------------------- |
| Built-in Agent | ✅ Supported | ➡️ [Docs](https://docs.copilotkit.ai/direct-to-llm) |
### 🤝 Partnerships
| Framework | Status | AG-UI Reso
```
---
**Machine-readable endpoints**
- JSON: [`/api/graphcanon/tools/ag-ui-protocol-ag-ui`](/api/graphcanon/tools/ag-ui-protocol-ag-ui)
- LLM index: [/llms.txt](/llms.txt)
- Full corpus: [/llms-full.txt](/llms-full.txt)
_GraphCanon - The knowledge graph for AI development. https://www.graphcanon.com/_