KI-Chat
Soul-of-Waifu
AI companion desktop app with Live2D avatars, voice, and local LLM.
★ 1,4 Tsd. SterneGPL-3.0
Anleitung ansehen →Open-LLM-VTuber ist ein Open-Source-Projekt aus der Kategorie KI-Chat von Open-LLM-VTuber (Open-LLM-VTuber/Open-LLM-VTuber auf GitHub). Es hat 14.011 Sterne auf GitHub und 1.682 Forks, wird unter der Lizenz MIT veröffentlicht und wurde zuletzt am 15. Mai 2026 auf GitHub aktualisiert.
Talk to any LLM hands-free with voice interruption and a Live2D avatar, running locally on your computer.
Choose a character, persona prompt and whether everything must run offline with local models, or cloud APIs are acceptable for heavier components.
Clone the project and follow the documentation's Quick Start for your platform; recent versions use uv to manage Python dependencies.
Edit the configuration file to pick your LLM, ASR and TTS engines and import a Live2D model - no code changes needed for module swaps.
Launch the server and open the web UI or desktop client, then hold a hands-free conversation - you can interrupt the avatar mid-sentence by speaking.
Hands-free voice conversation with voice interruption that works without headphones - the AI does not hear its own voice.
A lively Live2D character with emotion-mapped expressions, touch feedback via clicks and drags, and visible inner thoughts that are not spoken aloud.
The companion can see you and your screen through camera, screen recording and screenshots.
Run everything with local models on NVIDIA or non-NVIDIA GPUs or CPU, keeping conversations private on your device.
Many interchangeable LLM, ASR and TTS backends - from Ollama and Faster-Whisper to GPT-SoVITS voice cloning and cloud APIs - selected by config file.
The desktop client can switch to a transparent-background, always-on-top, click-through pet that sits anywhere on your screen, and chat logs persist between sessions.
Clone Open-LLM-VTuber to your machine.
git clone https://github.com/Open-LLM-VTuber/Open-LLM-VTuber.git
cd Open-LLM-VTuberFollow the documentation Quick Start to install dependencies for your platform; v1.x uses uv to manage the Python environment.
uv sync # see the Quick Start guide in the docs for the exact stepsStart the server and open the web or desktop client to begin a voice conversation.
uv run run_server.py # see README/docs for the exact commandIt is a community open-source project; the maintainers note v1 is in bug-fix mode while a v2.0 rewrite is discussed with the developer community.
The project code is MIT-licensed and free. Note that bundled Live2D sample models are licensed separately by Live2D Inc., which matters for commercial use - you can substitute your own model.
No if you run local engines (for example Ollama for the LLM and local ASR/TTS). Cloud LLM, ASR or TTS options use your own API keys.
Neuro-sama is a closed, single-character production; Open-LLM-VTuber is an open toolkit for building your own companion with interchangeable local or cloud components.
Clone the repo and follow the Quick Start in the project documentation to install, configure conf.yaml, and launch the server.
AI companion desktop app with Live2D avatars, voice, and local LLM.
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Kostenlos und offen — hol dir den Quellcode, gib dem Repository einen Stern und leg los.