{"repo":"ahmad2b/langgraph-voice-call-agent-web","free":true,"listed":false,"github":"https://github.com/ahmad2b/langgraph-voice-call-agent-web","clone":"git clone https://github.com/ahmad2b/langgraph-voice-call-agent-web.git","description":"A real-time voice/call AI agent UI that lets you talk to a LangGraph agent over LiveKit — similar to \"voice mode\" experiences in ChatGPT Voice, OpenAI Realtime API sessions, and Gemini Live. This repo demonstrates adapting a LangGraph agent into a full-duplex, low-latency voice assistant using LiveKit's real-time communication infrastructure.","language":"TypeScript","stars":16,"topics":["agents","call-agent","livekit","livekit-sdk","nextjs","voice","voice-assistant","voice-chat"],"license":"MIT","category":"ai-agents","readme_excerpt":"LangGraph Voice Call Agent Web A real-time voice/call AI agent UI that lets you talk to a LangGraph agent over LiveKit — similar to \"voice mode\" experiences in ChatGPT Voice, OpenAI Realtime API sessions, and Gemini Live. This repo demonstrates adapting a LangGraph agent into a full-duplex, low-latency voice assistant using LiveKit's real-time communication infrastructure. This frontend provides a seamless interface for both text chat and voice calls with your LangGraph agent, built with Next.js and LiveKit's real-time communication platform. Features - Real-time voice interaction with LangGraph agents - Audio visualization and level monitoring - Light/dark theme switching with system preference detection - Customizable branding, colors, and UI text via configuration This application is built with Next.js and LiveKit's real-time communication platform, providing a production-ready interface for your LangGraph voice agent. Project structure Getting started This application is designed to work with your existing LiveKit backend and LangGraph agent. You'll need: 1. LiveKit Server - Your backend that provides real-time communication services 2. LangGraph Agent - Your AI agent that processes conversations 3. Environment Configuration - API keys and endpoints Then run the app with: And open http://localhost:3000 in your browser. You'll also need to configure your LangGraph agent to work with LiveKit's real-time communication platform. The application supports both text chat and voi","default_branch":null,"files":null,"tree":[],"storefront":"/r/ahmad2b","claimed":false,"request_supported":{"post":"https://gitbuyer.com/r/ahmad2b/langgraph-voice-call-agent-web/request-supported","requests":0},"note":"indexed from public GitHub; nothing is for sale on this page. Clone it from GitHub. Paid listings live at /search."}