Open-LLM-VTuber/Open-LLM-VTuber
Talk to any LLM with hands-free voice interaction, voice interruption, and Live2D taking face running locally across platforms
snapshot: 2026-06-05
scraped_at: 2026/06/05 1:51
period stars: +581
stars: 9,625
forks: 1,155
Language: Python
Summary
一覧カードと同じ provider の要約本文です。
Highlights
Open-LLM-VTuber は、手ぶらで会話できる「音声インタラクティブAIコンパニオン」で、音声割り込み、視覚入力（カメラ／画面録画／スクリーンショット）、そして Live2D アバターの顔動作をローカルで動作させられるプロジェクトです。Windows／macOS／Linux に対応し、Web版とデスクトップクライアント（透明背景のデスクトップペットモードを含む）を提供します。README によれば「音声割り込み（AI が自分の声を聞かない）」「Live2D 表情マッピング」「AI の内的思考表示」「AI の能動発話」など先進的なインタラクション機能を備えます。
Translation
要約とは別に生成された翻訳本文です。
翻訳はまだありません。
README
取得した README 原文です。
</h3> <a href="https://github.com/Open-LLM-VTuber/Open-LLM-VTuber/graphs/contributors"> <img src="https://contrib.rocks/image?repo=Open-LLM-VTuber/Open-LLM-VTuber" /> </a>📢 v2.0 Development: We are focusing on Open-LLM-VTuber v2.0 — a complete rewrite of the codebase. v2.0 is currently in its early discussion and planning phase. We kindly ask you to refrain from opening new issues or pull requests for feature requests on v1. To participate in the v2 discussions or contribute, join our developer community on Zulip. Weekly meeting schedules will be announced on Zulip. We will continue fixing bugs for v1 and work through existing pull requests.
バックエンドは幅広い実装を統合しており、サポート例として LLM（Ollama、OpenAI、Gemini、Claude、Mistral、DeepSeek、Zhipu AI、GGUF、LM Studio、vLLM など）、ASR（sherpa-onnx、FunASR、Faster-Whisper、Whisper.cpp、Whisper など）、TTS（sherpa-onnx、Coqui-TTS、Bark、GPTSoVITS、Edge TTS 等）が README に明記されています。ローカルモデルで完全オフライン運用が可能なため、プライバシー重視の利用にも向きます。
README の注意点（実運用で重要）:
このリポジトリは日次トレンドで Rank 8 に入り、当日 +581 スター（累計 9,625 星）と大きく注目を集めています。オフラインで Live2D と音声対話を組み合わせた『neuro-sama に似た』オープン実装への関心と、v2.0 再設計の話題が注目を呼んでいるようです。
インストールや起動はドキュメントの Quick Start を参照。Docker イメージやデスクトップ／Web クライアントの選択肢が README に案内されています。
ENGLISH README | 中文 README | 한국어 README | 日本語 README
<a href="https://trendshift.io/repositories/27063" target="_blank"><img src="https://trendshift.io/api/badge/repositories/27063" alt="Open-LLM-VTuber%2FOpen-LLM-VTuber | Trendshift" style="width: 250px; height: 55px;" width="250" height="55"/></a>
常见问题 Common Issues doc (Written in Chinese): https://docs.qq.com/pdf/DTFZGQXdTUXhIYWRq
User Survey: https://forms.gle/w6Y6PiHTZr1nzbtWA
调查问卷(中文): https://wj.qq.com/s2/16150415/f50a/
:warning: This project is in its early stages and is currently under active development.
:warning: If you want to run the server remotely and access it on a different machine, such as running the server on your computer and access it on your phone, you will need to configure
https, because the microphone on the front end will only launch in a secure context (a.k.a. https or localhost). See MDN Web Doc. Therefore, you should configure https with a reverse proxy to access the page on a remote machine (non-localhost).
Open-LLM-VTuber is a unique voice-interactive AI companion that not only supports real-time voice conversations and visual perception but also features a lively Live2D avatar. All functionalities can run completely offline on your computer!
You can treat it as your personal AI companion — whether you want a virtual girlfriend, boyfriend, cute pet, or any other character, it can meet your expectations. The project fully supports Windows, macOS, and Linux, and offers two usage modes: web version and desktop client (with special support for transparent background desktop pet mode, allowing the AI companion to accompany you anywhere on your screen).
Although the long-term memory feature is temporarily removed (coming back soon), thanks to the persistent storage of chat logs, you can always continue your previous unfinished conversations without losing any precious interactive moments.
In terms of backend support, we have integrated a rich variety of LLM inference, text-to-speech, and speech recognition solutions. If you want to customize your AI companion, you can refer to the Character Customization Guide to customize your AI companion's appearance and persona.
The reason it's called Open-LLM-Vtuber instead of Open-LLM-Companion or Open-LLM-Waifu is because the project's initial development goal was to use open-source solutions that can run offline on platforms other than Windows to recreate the closed-source AI Vtuber neuro-sama.
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🖥️ Cross-platform support: Perfect compatibility with macOS, Linux, and Windows. We support NVIDIA and non-NVIDIA GPUs, with options to run on CPU or use cloud APIs for resource-intensive tasks. Some components support GPU acceleration on macOS.
🔒 Offline mode support: Run completely offline using local models - no internet required. Your conversations stay on your device, ensuring privacy and security.
💻 Attractive and powerful web and desktop clients: Offers both web version and desktop client usage modes, supporting rich interactive features and personalization settings. The desktop client can switch freely between window mode and desktop pet mode, allowing the AI companion to be by your side at all times.
🎯 Advanced interaction features:
🧠 Extensive model support:
🔧 Highly customizable:
Thanks to the developer for open-sourcing and sharing the girlfriend for everyone to use
This girlfriend has been used over 100,000 times
Please refer to the Quick Start section in our documentation for installation.
:warning:
v1.0.0has breaking changes and requires re-deployment. You may still update via the method below, but theconf.yamlfile is incompatible and most of the dependencies needs to be reinstalled withuv. For those who came from versions beforev1.0.0, I recommend deploy this project again with the latest deployment guide.
Please use uv run update.py to update if you installed any versions later than v1.0.0.
Most files, including Python dependencies and models, are stored in the project folder.
However, models downloaded via ModelScope or Hugging Face may also be in MODELSCOPE_CACHE or HF_HOME. While we aim to keep them in the project's models directory, it's good to double-check.
Review the installation guide for any extra tools you no longer need, such as uv, ffmpeg, or deeplx.
Checkout the development guide.
This project includes Live2D sample models provided by Live2D Inc. These assets are licensed separately under the Live2D Free Material License Agreement and the Terms of Use for Live2D Cubism Sample Data. They are not covered by the MIT license of this project.
This content uses sample data owned and copyrighted by Live2D Inc. The sample data are utilized in accordance with the terms and conditions set by Live2D Inc. (See Live2D Free Material License Agreement and Terms of Use).
Note: For commercial use, especially by medium or large-scale enterprises, the use of these Live2D sample models may be subject to additional licensing requirements. If you plan to use this project commercially, please ensure that you have the appropriate permissions from Live2D Inc., or use versions of the project without these models.
Thanks our contributors and maintainers for making this project possible.
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