Run AI on hardware you actually own, and reach it as easily as any cloud app. No token limits. No one else's servers. Just your machine, wherever you are.
Everything you'd expect from a hosted assistant, without handing your data to one.
Open a conversation with whichever model is running on your hardware, from your laptop, your phone, or someone else's computer.
Qadenza finds the fastest path to your machine automatically, so it feels like a hosted app instead of a home network project.
Browse models and see whether each one fits your hardware before you download it. Install with one click, on Ollama or llama.cpp.
Got more than one GPU? Split a model across them. There's no meter running: use it as much as your hardware can handle.
The VS Code extension turns your own models into a coding agent: it reads and searches your code, proposes changes, and shows every edit as a diff for you to approve.
Qadenza also speaks MCP and the OpenAI API, so Claude Code, Cursor and anything with a custom base URL can use the models on your machine.
Your files are read and edited locally. Only the conversation goes to your model.
Let any MCP client check your servers and hand work to your local models.
Tokens are revocable any time from the dashboard.
Pull models, watch temps and load, generate images, and see what's connected across every machine you own. Agents update themselves.
One dashboard for all of it, whether you're checking in from your desk or from across the country.
For teams that can't let data leave the building, we deploy the whole Qadenza stack inside your network: agents, dashboard and connection layer. Models load from your own storage, and nothing depends on reaching us.
Talk to us about air-gappedqadenzabeta@mlyth.org
Run one command on any machine you want to reach later. It sets up the service, offers to install the engines, and pairs the machine to your account. Beta invite required.
Leave your email and we'll send an invite when a spot opens.