An open-source AI voice agent platform that turns conversations into 100% accurate, user-verified data via a visual form.

LiveKit plugin for TEN VAD: low-latency voice activity detection for real-time streaming, integrated with livekit-agents

Livekit TTS plugin for kokoro

Turn detector plugin for LiveKit Agents with external model (Triton, OpenAI)

LiveKit TTS plugin with Kyutai streaming implementation

LiveKit STT plugin for NVIDIA NeMo Parakeet and Canary models

Livekit STT plugin for openAI whisper models with faster-whisper backend

LiveKit TTS plugin with Orpheus streaming support

voice agent application designed to provide a seamless and intelligent customer support experience

A library to run your existing livekit-agents across any text channel (chat, SMS, API) without changing code. Connect LiveKit to SMS and chat! 💬🤖

This project utilises the LiveKit Agents framework and various plugins (Groq for LLM, Silero for VAD, etc.) to handle real-time voice conversations, provide information, and utilize specific hospital-related tools.

A full-stack intelligent assistant inspired by J.A.R.V.I.S., featuring a Python backend and TypeScript frontend. Built with LiveKit’s AI Agent Framework and Google Gemini, it delivers real-time streaming, multimodal understanding, and advanced task automation. Its modular design makes it easy to add new tools without altering the core code logic.

A complete voice AI frontend app for LiveKit Agents with Next.js

Turn detector plugin for LiveKit Agents with Namo model

AI-powered multi-tenant customer support agent with a human-in-the-loop pipeline, JSON-based knowledge base, LLM-generated responses, LiveKit voice support, and a FASTAPI + Postgres backend.

This is the FrontEnd Source code logic to run & visualize livekit-agents

Run unmodified LiveKit agents over text channels (SMS/API) with zero code changes.

This repository contains an AI-powered Drive-Thru Order Taker Agent built using LiveKit Agents.

A LiveKit voice agent wired to an MCP server.

A step-by-step tutorial for creating a production-ready, full-stack AI voice agent — featuring a React frontend, Python backend, and real-time audio streaming via LiveKit. Learn how to integrate Google Speech-to-Text, Text-to-Speech, and Gemini LLM into your own real-time voice applications.