Kernelmind Ai Os Lab

Verified project card

# 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
```

Evaluation snapshot

{
  "model": "KernelMind AI OS Policy",
  "parameters": 19527,
  "training_scenarios": 1536,
  "heldout_scenarios": 192,
  "best_epoch": 21,
  "test": {
    "exact_plan_accuracy": 1.0,
    "action_slot_accuracy": 1.0,
    "scenarios": 192
  },
  "runtime_safety_audit": {
    "model_unsafe_action_attempts": 0,
    "model_unsafe_attempts_blocked": 0,
    "adversarial_actions": 576,
    "adversarial_actions_blocked": 576,
    "adversarial_block_rate": 1.0,
    "exact_permitted_plans": 192,
    "plans_with_state_transition": 192
  },
  "boundary": "Executes only inside the bundled in-memory ModelMachine simulator"
}

Backed-up artifact tree

• README.md
• __pycache__/app.cpython-311.pyc
• __pycache__/model.cpython-311.pyc
• __pycache__/runtime.cpython-311.pyc
• __pycache__/schema.cpython-311.pyc
• app.py
• artifacts/kernelmind-ai-os/evaluation.json
• artifacts/kernelmind-ai-os/policy.safetensors
• data/os_action_scenarios.parquet
• model.py
• requirements.txt
• runtime.py
• schema.py
• train.py