#3636th of 37 in AssistantsFor image, video and design, video and animation, voice, speech and music
open-llm-vtuber
Voice-chat AI companion with a Live2D avatar and desktop pet mode
- Stars
- 14.3k
- License
- custom license
- Last commit
- May 2026
- Last release
- Aug 2025
- Language
- Python
6,231 on 27 Mar 202614,348 on 23 Oct 2026
From GitHub's daily star counts.
Checked on GitHub.
Overview
Open-LLM-VTuber is a Python server with web and desktop clients for real-time voice conversations with a Live2D character. It plugs in LLM, speech recognition and text-to-speech backends through a config file, and can run fully offline with local models. It also supports camera and screen input, voice interruption, and a transparent desktop pet mode.
Who it is for: Self-hosters wanting a local voice AI companion with a Live2D avatar
Strengths
- Many swappable backends: Ollama, OpenAI-compatible, Claude, Gemini, vLLM, GGUF for LLMs
- ASR and TTS options include sherpa-onnx, Faster-Whisper, Edge TTS, GPTSoVITS, Fish Audio
- Runs fully offline on Windows, macOS and Linux, with CPU or cloud API fallback
- Pluggable Agent interface and custom Live2D models for characters
Weaknesses
- Long-term memory feature is temporarily removed
- v1 is in maintenance; a full v2 rewrite is planned and v1 feature requests are refused
- Remote access needs https via reverse proxy, or the browser microphone will not start
- License is NOASSERTION; bundled Live2D sample models carry separate terms for commercial use
What it needs
- GPU optional
- Docker
- Needs uv, ffmpeg
- Models: Ollama, OpenAI-compatible, Gemini, Claude, Mistral
Quick answers
Is open-llm-vtuber open source?
Its code is public on GitHub under its own license terms; read them before you use it at work.
Can you run open-llm-vtuber with Docker?
Yes. Its repository has a Docker setup: a Dockerfile, a Compose file or a published image.
Does open-llm-vtuber need a GPU?
No. It runs on a CPU and can use a GPU when you have one.
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