TARX runs AI on your hardware. No cloud accounts, no API keys, no data leaving your machine. Here's how to get started.
Download and install
Head to tarx.com/download and grab the macOS DMG. Open it, drag TARX to Applications, and launch.
On first launch, TARX will download the Mind model (~4.7 GB). This is a one-time download. The model runs entirely on your Mac's GPU using Metal — no internet required after the initial setup.
Your first conversation
Open TARX and start typing. That's it. There's no account creation, no sign-in, no onboarding wizard.
TARX uses two compute environments:
- Computer — private local compute on your device. Handles fast reasoning, memory, files, Vault, and offline work.
- Supercomputer — opt-in augmented compute for heavier analysis when the request is safe to route.
TARX chooses the safest route for each turn and shows whether Computer handled it or Supercomputer assisted.
Create a Space
Spaces are how you organize your work in TARX. Each Space has its own conversation history, files, and memory.
Tap the + button in the sidebar, give your Space a name, and you're in. Everything in a Space is stored locally in SQLite on your device.
Some ideas for Spaces:
- A project you're building
- Research on a topic
- A client engagement
- A personal journal
Add files
Drag files into a Space to give TARX context. TARX indexes them using local embeddings (nomic-embed-text) and chunks them for retrieval. Your files never leave your machine.
Supported: text, code, markdown, PDF, images. TARX will reference these files when you ask questions about them.
Connect to the Supercomputer
For queries that need more power — long documents, complex reasoning, multi-step analysis — TARX can connect to the Supercomputer at compute.tarx.com.
This is opt-in. Go to Settings and toggle Supercomputer access. When enabled, TARX sends the query (not your files) to the Supercomputer for Mind-class inference and streams the result back.
You can disable this at any time. With the privacy flag on, nothing leaves your hardware — ever.
What's next
- Read about Spaces architecture to understand how local storage works
- Check the developer docs for API access and MCP server setup
- Follow Dispatches for product updates
