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

Frontend Integrations

Agent Frameworks

  • LangChain - 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
  • Claude Managed Agents - Anthropic’s hosted agent sessions, bridged to AG-UI in TypeScript, Python, and .NET
  • Claude Agent SDK - Anthropic’s local agent SDK, served over AG-UI
  • Langroid - Lightweight Python framework for building multi-agent LLM applications

Infrastructure / Deployment

Specification (standard)

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 | C++ | .NET

(coming soon)

| Nim | Flowise | Langflow | Cloudflare Agents

Clients

| CopilotKit | Terminal + Agent | Chat platforms — Slack, Microsoft Teams | React Native Join Discord to engage with the AG-UI community.