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Mnsevx1/Tui
Tui is a machine learning model from Mnsevx1. Use it for the machine learning task on the model card, and read the license before you ship it in a product.
MNSE is a controllable, teachable, OS-level executive that grows with you — not instead of you.
Downloads · 30 days
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Updated Dec 25, 2025
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.rs189 KB · 67%
From the Hugging Face model README
MNSE is a controllable, teachable, OS-level executive that grows with you — not instead of you.
┌──────────────────────────────────────────────────────┐
│ LM STUDIO │
│ (Executive / Router / Validator) │
└─────────────────────┬────────────────────────────────┘
│ HTTP API
┌─────────────────────┴────────────────────────────────┐
│ MNSE CORE │
│ ┌─────────────────────────────────────────────────┐ │
│ │ Rust Shell │ │
│ │ • TUI (Ratatui) │ │
│ │ • Tools (sandboxed) │ │
│ │ • OS Integration │ │
│ └─────────────────────────────────────────────────┘ │
│ ┌─────────────────────────────────────────────────┐ │
│ │ Python Brain │ │
│ │ • Intent Understanding │ │
│ │ • Teaching Protocol │ │
│ │ • Skill System │ │
│ └─────────────────────────────────────────────────┘ │
└──────────────────────────────────────────────────────┘
localhost:1234# Build Rust workspace
cargo build --release
# Set up Python environment
cd python
uv sync
# Run MNSE TUI
cargo run --release
MNSE creates a default config at ~/.config/mnse/mnse.toml:
[lm_studio]
url = "http://localhost:1234"
executive_model = "your-30b-model"
router_model = "gemma-2b"
validator_model = "phi-3-mini"
[permissions]
sandbox_paths = ["~/code", "~/.config"]
allow_terminal = false
[tui]
theme = "dark"
vim_keys = true
[hotkey]
binding = "Super+Space"
| Mode | Description |
|---|---|
| Teaching | Default. MNSE explains and asks questions. |
| Terminal | Full control inside a repo. Code explanation. |
| Window | Context from active window (app, file path). |
Press Tab to cycle modes.
Skills are structured knowledge. See skills/README.md.
| Key | Action |
|---|---|
Enter | Submit input |
Tab | Cycle mode |
Ctrl+C / Esc | Quit |
Ctrl+M | Cycle mode |
MIT