Integrations

This page showcases various Agent User Interaction Protocol (AG-UI) integrations that demonstrate the protocol's capabilities and versatility.

Frontend Integrations

• CopilotKit - AI Copilots for your product.

Agent Frameworks

• LangGraph - Balance agent control with agency
• Microsoft Agent Framework - A framework for building, orchestrating, and deploying AI agents and multi-agent workflows with support for Python and .NET.
• Google ADK - Google's Agent Development Kit for building AI agents with Gemini models
• AWS Strands Agents - A model-driven approach to building AI agents
• Mastra - The TypeScript Agent Framework
• Pydantic AI - Production-ready AI agents in Python
• Agno - A full-stack framework for building Multi-Agent Systems
• LlamaIndex - Data framework for LLM applications with RAG capabilities and workflow orchestration
• CrewAI - Streamline workflows across industries with powerful AI agents.
• AG2 - The Open-Source AgentOS

Infrastructure / Deployment

• Amazon Bedrock AgentCore - Fully managed infrastructure for deploying AG-UI agents to production with native protocol support, managed authentication, session isolation, and auto-scaling. See the deployment guide and the announcement.

Specification (standard)

• Oracle Open Agent Spec - A portable language for defining agentic systems
• A2A Middleware - Provides the definitive common language for agent interoperability

Generative UI

• **A2UI Declarative generative UI for generating rich, interactive interfaces
• MCP Apps - Render interactive UI components from MCP servers directly in your chat interface

SDKs

| Kotlin | Golang | Dart | Java | Rust | Ruby

(coming soon)

| .NET | Nim | Flowise | Langflow | Cloudflare Agents

Clients

| CopilotKit | Terminal + Agent

Join Discord to engage with the AG-UI community.