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Xenith.ai – Web Assembly Based Voice Assistant with WebLLM/Whisper/VITS

Xenith.ai – Web Assembly Based Voice Assistant with WebLLM/Whisper/VITS

by cppshane·Mar 3, 2026·3 points·0 comments
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AI Analysis

●●SolidWizardryBig BrainShip It

Full-stack browser voice AI (WebLLM, Whisper.cpp, VITS) running 100% locally and client-side.

Strengths
  • •Genuinely impressive technical achievement: orchestrating WebLLM + Whisper.cpp WASM + VITS TTS in browser without cloud fallback.
  • •WebGPU + WASM constraint forces real browser optimization; no trivial wrapped cloud API.
  • •Transparent about limitations: requires dedicated GPU, openly marketed as PoC.
Weaknesses
  • •GPU requirement makes it inaccessible for most users; WebGPU support is spotty across browsers and devices.
  • •No clear product direction yet; still PoC stage with no public roadmap, use case examples, or competitive advantage over local CLI tools (Ollama, LM Studio).
Category
AI/ML
Target Audience

AI enthusiasts and developers interested in local, privacy-preserving voice assistants running on WebGPU.

Similar To

Ollama · LM Studio · Jan.ai

Post Description

I built an in-browser voice assistant platform on Web Assembly using WebLLM + Whisper.cpp WASM + Silero VAD + VITS TTS

I've been experimenting with pushing local AI fully into the browser via Web Assembly and WebGPU, and finally have a semblance of a working platform here! It's still a bit of a PoC but hell, it works.

You can create assistants and specify: - Wake word - Language model - Voice

I published a little post on my site with some technical details as well if anyone is interested: https://shaneduffy.io/blog/i-built-a-voice-assistant-that-ru...

https://xenith.ai https://github.com/xenith-ai/xenith

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