Offline Voice Assistants

Tel-Agent is a self-hosted AI receptionist for businesses that want phone calls and customer messages handled in one place. It runs on your own hardware and keeps recordings and searchable transcripts on your machine. It's free and open source under the AGPL-3.0 license.

AIRI is a self-hosted AI companion for people who want a virtual character they can talk to and play games with. Inspired by Neuro-sama, it combines real-time voice conversation with game integrations for Minecraft and Factorio. The project is in early development; Factorio support is a work in progress with a proof of concept. It's open source under the MIT license.

Home Assistant Assist is a voice assistant for people who want to control their smart home through natural language while keeping voice processing on their own hardware. It's built into Home Assistant, which runs on a Raspberry Pi or a local server and is open source under Apache 2.0.

Locally AI is a native app for running language and vision models on recent iPhones, iPads, and Macs. It's for people who want a private AI assistant on their own device, with text, image processing, and voice conversations available without cloud processing. Once a model is downloaded, it works offline and doesn't require an account.

Extended OpenAI Conversation is a custom component for Home Assistant users who want an AI assistant that can act on their home. It builds on OpenAI Conversation and adds device control, automation creation, and access to historical device states. It runs inside Home Assistant, while a separate model backend handles the conversation.

Wyoming Satellite connects a microphone and audio playback device to Home Assistant through the Wyoming protocol. It's for people building a self-hosted voice assistant with a separate device for speaking and listening. The project is archived and no longer maintained; its replacement is Linux Voice Assistant, which uses the ESPHome protocol.

Rhasspy 3 is an early developer-preview local voice assistant toolkit for developers building their own assistants or adding voice control to Home Assistant. The project is archived and no longer maintained. It keeps data on your computer unless you choose to send it elsewhere, and its speech components support languages beyond English.

h2oGPT is a self-hosted ChatGPT alternative for people who want to chat with local models and ask questions about their own documents. The project is archived and no longer maintained. It's open source under Apache 2.0, with support for Linux, macOS, Windows and Docker.

Voxta is an AI companion for people who want a character they can talk to, give work to or use in interactive stories. You choose its personality, voice and optional avatar. The proprietary local-server edition has a browser interface, and AI processing can run entirely on your hardware, through Voxta Cloud or across a mix of local and cloud services.

Open-LLM-VTuber is a local AI companion for people who want a character they can talk to, with a Live2D avatar that responds through speech and expressions. It runs on Windows, macOS and Linux through web and desktop clients. With local models for speech and language processing, it works fully offline and keeps conversations on your device. Cloud APIs are optional alternatives that send the corresponding processing to external services.

Amica is a locally runnable interface for talking with customizable 3D AI characters. It's for people who want an animated, voiced character as the face of their AI assistant, with a choice of local LLM backends or cloud services. The project builds on Pixiv's ChatVRM.

GLaDOS is a local AI voice assistant modeled on the sarcastic character from Valve's Portal games. It's for people who want a conversational companion on their own hardware, with camera awareness and connections to home automation. The Python project is open source under the MIT license and runs on Linux and Windows. macOS support is experimental.

Unmute adds spoken conversation to text LLMs using Kyutai's speech recognition and speech synthesis models. It's for developers who want a self-hosted voice interface while keeping their choice of language model. The project uses the MIT license, and a hosted browser demo is available at Unmute.sh.

Home-LLM connects Home Assistant to language models running on your own hardware, so you can control smart devices through voice or chat. It's for Home Assistant users who want natural language control without relying on a cloud service or subscription. The project pairs a custom integration with small models trained specifically for smart home commands.

OpenVoiceOS is a free, open-source voice AI platform for people building their own smart speakers or adding voice control to devices. Its core builds on a fork of MycroftAI/mycroft-core, and most classic Mycroft skills also work with it. The project uses the Apache 2.0 license, which permits personal and commercial use.

Moshi is a voice AI model and dialogue framework that can listen while it speaks. It processes speech directly, retaining information such as emotion and non-verbal cues that a text transcription can miss. It's aimed at researchers and developers building spoken AI applications, with local inference and self-hosted server options.

TEN Framework is a self-hosted framework for developers building voice AI agents and multimodal conversational apps. It focuses on low-latency, real-time conversations and supports both RTC and WebSocket connections. You can run its agent examples locally with Docker or deploy them on your own server.

Leon is a self-hosted personal AI assistant for Linux, macOS and Windows. The project focuses on the 2.0 Developer Preview on its develop branch. Its MIT-licensed runtime combines tools, context and memory with a local web interface.

Willow is a self-hosted voice assistant platform for people who want home automation voice control on their own hardware. It runs on Espressif's ESP32-S3-BOX family and connects to Home Assistant, openHAB, or other services that accept speech results over HTTP. The project is open source under Apache 2.0.

big-AGI is a browser-based AI workspace for researchers, developers and people who want to compare model answers before relying on them. Its Beam feature sends the same prompt to several models in parallel, without letting them see each other's replies. You can examine disagreements, then use Merge to combine the responses into a single answer with a preset or custom prompt.