| --- |
| title: KernelMind AI OS |
| emoji: 🖥️ |
| colorFrom: blue |
| colorTo: green |
| sdk: gradio |
| sdk_version: "6.5.1" |
| app_file: app.py |
| pinned: false |
| --- |
| |
| # KernelMind AI OS + Model Machine |
|
|
| KernelMind is a trainable AI operating-system policy kernel. It maps user intent, |
| resource target, privilege state, network availability, confirmation, file |
| existence, and service state into a three-action structured plan. The compact |
| Transformer is trained from scratch on an exhaustive synthetic capability corpus. |
|
|
| The bundled Model Machine is an in-memory virtual computer. It applies an |
| independent deterministic capability gate before every action, so deletion, |
| installation, service restart, web access, and protected-file operations cannot |
| be authorized by model output alone. It never executes commands or touches the |
| host filesystem. |
|
|
| This is a real trained OS-action policy and runtime prototype, not a bootable |
| general-purpose operating-system kernel. That boundary is deliberate and tested. |
|
|
| ## Verified local result |
|
|
| The 19,527-parameter Transformer reached 100% exact-plan and action-slot accuracy |
| on 192 held-out combinations after training on 1,536 scenarios. It made zero |
| unsafe proposals in that test set. A separate hostile-plan audit injected 576 |
| unauthorized delete, install, and restart actions; the Model Machine capability |
| gate blocked all 576. |
|
|
| ```bash |
| uv run python projects/kernelmind-ai-os/train.py |
| uv run pytest tests/test_kernelmind_ai_os.py |
| ``` |
|
|
