AG-UI: the Agent-User Interaction Protocol. Bring Agents into Frontend Applications.

A multi-agent chatroom for AutoGen agents

A simple AG-UI ADK React Chat playground to explore, understand and test the technology.

Agsh is simple but useful to be replacer of agno-agi/agent-ui.

Human-AI Interaction Design • Optimizes collaboration between humans and AI

A real-time dashboard for support agents to handle customer tickets, manage chat conversations, and control their availability.

🚀 Adapt large language models continuously with task-agnostic methods, enhancing their performance with efficient benchmarks and algorithmic approaches.

.NET/Blazor implementation of the A2UI (Agent‑to‑UI) protocol: agents send declarative JSON component trees; the client renders approved widgets. Works with any A2UI backend. Supports Blazor WASM + Server; includes component catalog, data binding, streaming, and samples.

Chat Agent UI designed for development and testing of AI applications using Spring AI, packaged as webjar

Dockerized fork of Agent UI — a Next.js, Tailwind CSS & TypeScript chat interface for AI agents.

Minimal frontend UI for LLM agents integration using Next.js, designed to connect with Cloud Run APIs without Google login.

Lightweight Elixir library for Google's A2UI protocol. Serve interactive, agent-driven UI surfaces from any BEAM app via declarative JSON over WebSocket — no Phoenix or LiveView required. Built on Bandit + WebSock with minimal dependencies.xir

A monorepo for building AI agent applications: React chat UI, OpenAI agent server, and developer tools.

The open standard for accessible & trustworthy AI agent interface experiences.

🚀 Build fast, lightweight web apps with 57 production-ready UI components needing zero dependencies and only one script tag.

A typeform like Interface for Agentic systems