Build a 100% OFFLINE AI Voice Agent with LiveKit, Ollama & Docker! Full Local Setup
eady to build an AI voice agent that runs entirely on your own machine, completely offline? In this comprehensive tutorial, I'll walk you through the complete process of setting up a powerful, private AI voice assistant using LiveKit, local Kyutai for Text-to-Speech (TTS) and Speech-to-Text (STT), and Ollama to run the Gemma LLM locally.
Say goodbye to cloud dependencies and API keys! We'll use Docker to containerize our services for a clean and manageable setup. This video is perfect for developers and enthusiasts who want to create a truly private, self-hosted AI assistant.
✅ In this step-by-step guide, you will learn how to:
(0:00) Introduction to the fully local AI agent setup.
(0:17) Set up and run a local Text-to-Speech (TTS) engine using Kyutai and Docker.
(4:16) Integrate the local TTS with a LiveKit agent.
(8:08) Set up a local Speech-to-Text (STT) engine using Kyutai's Whisper-compatible API.
(11:38) Install and configure Ollama to run Large Language Models (LLMs) like Gemma 3n on your own hardware.
(15:04) Modify the LiveKit agent code to use your local Ollama LLM.
(16:12) Run and test the final, 100% offline AI voice agent!
If you enjoyed this tutorial, please like, comment, and subscribe for more content on building AI applications.
Видео Build a 100% OFFLINE AI Voice Agent with LiveKit, Ollama & Docker! Full Local Setup канала Dwain (GPT-Labs.ai)
Say goodbye to cloud dependencies and API keys! We'll use Docker to containerize our services for a clean and manageable setup. This video is perfect for developers and enthusiasts who want to create a truly private, self-hosted AI assistant.
✅ In this step-by-step guide, you will learn how to:
(0:00) Introduction to the fully local AI agent setup.
(0:17) Set up and run a local Text-to-Speech (TTS) engine using Kyutai and Docker.
(4:16) Integrate the local TTS with a LiveKit agent.
(8:08) Set up a local Speech-to-Text (STT) engine using Kyutai's Whisper-compatible API.
(11:38) Install and configure Ollama to run Large Language Models (LLMs) like Gemma 3n on your own hardware.
(15:04) Modify the LiveKit agent code to use your local Ollama LLM.
(16:12) Run and test the final, 100% offline AI voice agent!
If you enjoyed this tutorial, please like, comment, and subscribe for more content on building AI applications.
Видео Build a 100% OFFLINE AI Voice Agent with LiveKit, Ollama & Docker! Full Local Setup канала Dwain (GPT-Labs.ai)
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13 июля 2025 г. 16:38:34
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