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Open-source AI VTuber companion with Live2D avatar, real-time voice interaction, fully offline — cross-platform desktop app.
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Visit Official WebsiteOpen-LLM-VTuber is an open-source AI companion desktop app featuring Live2D dynamic avatars and real-time voice conversations. All inference runs locally with zero internet dependency. Core pipeline: Microphone → ASR → LLM → TTS → Live2D Expression Sync. Every module is swappable via config file (supports Ollama, OpenAI, Claude, DeepSeek, and more). Standout features include voice interruption (acoustic echo cancellation), emotion tag mapping (LLM emotion tags drive Live2D expressions in real-time), visual perception (optional), and desktop pet mode (click-through transparent window). v1.x stable release available, v2.0 under active development. 10,000+ GitHub stars.
Open-LLM-VTuber was created by Taiwanese developer t41372 (Yi-Ting) with the goal of building a fully offline, customizable AI virtual companion. The project exploded on GitHub Trending in late 2025, quickly reaching 10,000+ stars.
Uses a modular pipeline architecture where every component (ASR, LLM, TTS, Live2D rendering) can be independently swapped out. Features voice interruption (acoustic echo cancellation), emotion tag mapping, and visual perception (camera/screen capture). Cross-platform on Windows, macOS, and Linux.
One of the most notable projects in the open-source AI companion space. Covered by dev.to and other tech publications. Its primary audience is developers and tech enthusiasts, filling the gap left by closed-source commercial products like Neuro-sama.
The most complete open-source AI VTuber framework — offline, Live2D, voice interruption as core strengths.
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