FAQ

How does wavecat do all of this without the cloud?

Answer

wavecat runs its models directly on your computer using llama.cpp, so there are no data centers involved.

wavecat can search the web with its web search tools (via Wikipedia, DDGS API), but other than that all processing is done on your computer locally. Again, no personal data ever leaves your computer. You can turn off your WIFI and wavecat will still work. (For more details on local model inference, see here.)

The only tradeoff is that wavecat can be compute-heavy and require a beefy laptop, desktop, or workstation. These PC hardware requirements will lessen over time as models and inference systems become more and more efficient.

Thank you for downloading wavecat!

Your download should begin automatically.

Getting started

  • Open the downloaded file and follow the prompts to finish setup.
  • On first launch, wavecat guides you through installing its vision and language models, which take up roughly 19 GB of disk space.
  • You'll then be asked to allow wavecat to watch your screen. Everything runs locally, so no personal data ever leaves your device.

Hardware requirements

  • Mac: Apple Silicon only, with 24 GB unified memory minimum and 32 GB+ recommended.
  • Windows / Linux: a dedicated GPU with 12 GB+ VRAM (Vulkan, plus CUDA on Windows), or a unified-memory device with 24 GB+ RAM.
  • Nothing is strictly enforced, but wavecat won't run smoothly unless your device meets these requirements.

Wrong OS? Download for macOSWindowsLinux.