BudEcosystem / Bud-Decision-Studio

Bud Decision Studio 
 Run open decision models on your own computer. 
 Give a model a situation and a few questions; get a calibrated probability for every answer, in milliseconds. 
 The LM Studio of Jev-like "System One" models, from Bud Ecosystem .
**Documentation:** the user manual, installation, guides, API reference and developer docs are in
`site/docs/`, built from the Markdown in `site/docs-src/`. Open
`site/docs/index.html` in a browser, or serve the `site/` folder.
## Install
**One line**, and the app opens when it is done:
| System | Command |
|---|---|
| macOS (Apple Silicon) and Linux | `curl -fsSL https://raw.githubusercontent.com/BudEcosystem/Bud-Decision-Engine/main/get.sh \| sh` |
| Windows (PowerShell) | `irm https://raw.githubusercontent.com/BudEcosystem/Bud-Decision-Engine/main/get.ps1 \| iex` |
**Or download** from the latest release:
| Your computer | Download | Then |
|---|---|---|
| Mac with Apple Silicon (M1 or newer) | `…_aarch64.dmg` | Open it and drag the app to Applications |
| Windows 10 or 11 | `…_x64-setup.exe` (or `.msi`) | Run it; the app is added to the Start menu |
| Ubuntu or Debian | `…_amd64.deb` / `…_arm64.deb` | `sudo apt install ./Bud*.deb` |
| Fedora or openSUSE | `…x86_64.rpm` / `…aarch64.rpm` | `sudo dnf install ./Bud*.rpm` |
| Any other Linux | `…AppImage` | `chmod +x Bud*.AppImage` and open it; it adds itself to your applications menu |
NVIDIA GB10 (DGX Spark) and other ARM64 Linux computers use the `arm64` / `aarch64` files.
### What happens the first time
1. **It checks your computer**: graphics, processor, memory and free disk.
2. **It asks where models should run**: the GPU (recommended when there is one) or the processor. Each choice says what it installs and how big it is.
3. **It installs the engine by itself**: a private Python with the PyTorch build that matches your hardware, and every model library. There is nothing else to set up, and nothing is installed outside the app's own folder.
4. **You choose which models to download.** Nothing downloads until you pick; two models suited to your computer are ticked for you. They download one at a time in the background.
| Your hardware | Models run on |
|---|---|
| NVIDIA GPU (GeForce, RTX, GB10 / DGX Spark, data-centre cards) | CUDA 12.6, 12.8 or 13.0, chosen from your driver |
| Mac with Apple Silicon | the Apple GPU, through Metal |
| Intel Core Ultra or Arc graphics | the Intel GPU (XPU) |
| AMD GPU on Linux | ROCm (experimental) |
| Anything else | the processor; small models answer in about a second |
You can switch between the GPU and the processor later on the **System** page.
## What it does
A **decision model** does not write text. You give it a **situation** (an email, a support ticket, a log line, a JSON object) and **typed questions**, and it returns the probability of every answer you allowed, in one fast pass. There are six kinds of question:
| Question | You define | You get back |
|---|---|---|
| **Pick one** | a list of named opti