A production-ready voice agent implementation using LiveKit and Python, featuring advanced conversational AI capabilities and optional telephony integration. It provides intelligent turn detection, function calling, comprehensive logging, telephony integration, and audio enhancement.

A real-time voice/call AI agent 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 any LangGraph agent into a full-duplex, low-latency voice assistant using LiveKit Agents.

A production-ready voice agent implementation using LiveKit and Python, featuring advanced conversational AI capabilities and optional telephony integration.

A Voice-to-Voice AI Agent that lets you naturally talk to documents in real time. Powered by LiveKit's ultra-low-latency STT → LLM → TTS pipeline, it uses RAG for instant document insights and Redis for persistent memory—delivering a fully immersive voice-first experience.

Quickstart template to build real-time voice AI solutions using the LiveKit Agent framework with WebRTC, open-source and local or 3rd party services such as AWS, Deepgram, Groq or OpenAI. Designed for low-latency.

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.

The "livekit-voice-ai-agent-setup" repository provides a comprehensive guide and resources for setting up a voice-enabled AI agent using the LiveKit platform. It includes step-by-step instructions, code samples, and documentation to help users quickly deploy their own voice AI agent solutions.

This project creates an AI-powered voice agent that can make outbound calls via SIP using LiveKit and Twilio. The agent listens, understands, and responds to the user's voice in real-time. 🏦 In this implementation, the voice agent acts as a debt reminder bot automatically calling bank defaulters to notify them of pending dues.

AI Voice Agent — real-time STT → LLM → TTS pipeline using OpenAI, ElevenLabs, LiveKit, FastAPI

Replaxy: Multi-agent voice AI orchestration platform for complex, high-value use cases. Build and coordinate specialist voice agents with routing, handoffs, and shared context using LiveKit. Python-based, Dockerized, deployed to LiveKit Cloud. Designed to evolve into a production-grade system for sophisticated, real-world voice AI workflows.

LiveKit Agent (Python) is an open-source project designed to integrate AI voice assistants with real-time communication using LiveKit. This Python-based agent captures audio input from users, processes it using AI models (like OpenAI or others), and streams responses back — enabling voice-driven intelligent interactions in real-time.

Celestia is a realtime voice AI girlfriend assistant built using LiveKit Agents and Google Realtime API.

An autonomous AI platform to streamline HR interviews using conversational voice agents. Built with Next.js, Supabase, LiveKit, and Gemini.

🎙 Building 10 AI Voice Agents in 10 Days using Murf Falcon TTS (fastest TTS API) and LiveKit. Part of the #MurfAIVoiceAgentsChallenge

AI-powered hospital voice assistant using RAG, LiveKit Agents, and LlamaIndex to answer patient queries, schedule appointments, and provide context-aware, multilingual responses.

🤖 AI Agent System with RAG & Voice Calling - Create intelligent AI agents with custom knowledge bases and real-time outbound calling capabilities using FastAPI, LiveKit, OpenAI Realtime API & Pinecone vector database

🎓 AI-powered Active Recall Coach with 3 learning modes (Learn, Quiz, Teach-Back) using Murf Falcon TTS, AssemblyAI STT, and LiveKit Agents. Built for the Murf AI Voice Agents Challenge - Day 4.

An intelligent inbound call-handling agent that uses Twilio SIP, LiveKit and OpenAI to receive real phone calls and respond with AI-generated voice replies.

AI voice agent built with LiveKit that handles vehicle insurance inquiries, extracts customer information, and stores it in a PostgreSQL database. The agent uses a Neo4j Graph RAG system to retrieve relevant car information scraped from CarDekho.com using Firecrawl API.

A fully custom inbound AI voice agent — built from scratch using LiveKit, Sarvam AI, and Python. It picks up real phone calls, speaks natural Hindi and English, books appointments into Google Calendar, and fires Telegram confirmations — all for ₹2 per minute. No Vapi. No Retell.

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LiveKit Agents project with frontdesk agent implementation using voice AI

This project contains voice AI agent implementations using the LiveKit Agents framework

AI 112 Emergency Dispatcher for Berlin - Voice agent using LiveKit, Groq, and ElevenLabs

LiveKit outbound AI voice agent using Groq LLM, Deepgram STT/TTS, and SIP trunking.

M4Markets Voice Sales Agent - AI-powered voice assistant for forex trading lead generation using LiveKit + OpenAI Realtime API

AI-powered voice shopping assistant with real-time voice interaction, product search, and order management using LiveKit Agents SDK.

Real-time AI voice agent with LiveKit, Google Gemini 2.5 Flash, and RAG using FAISS

This project integrates Murf.ai TTS with Falcon Voice Agents using LiveKit. It contains scripts, demos, and setup instructions to build fully functional voice agents.

An end-to-end Voice AI customer support agent for Armenian banks using the open-source LiveKit framework.