nixorb 0.1.0.5

Floating AI assistant orb for Arch Linux — KDE Plasma 6 Wayland

NixOrb 🌐

Floating AI assistant orb for Arch Linux — KDE Plasma 6 Wayland — GTX 1080

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What it is

NixOrb is a frameless, always-on-top AI assistant that floats on your Wayland desktop as a glowing GLSL-shader orb. Press a global hotkey (or say a wake word), speak, and it transcribes → thinks → speaks back — the orb pulsing to the audio in real time.

Key features at a glance:

Category	What it does
Orb UI	Frameless QML shader orb with particle system, drag-to-reposition
ASR	Whisper Large v3 INT8 (~2 GB VRAM) via faster-whisper
LLM	OpenAI API, Ollama, llama.cpp local, with offline auto-fallback
TTS	OpenAI TTS, HuggingFace models, offline Piper
VRAM	Priority-eviction manager keeps 8 GB GTX 1080 from OOM crashing
Actions	Sandboxed bash execution via bubblewrap; user confirmation gate
Memory	ChromaDB long-term vector memory, injected into every prompt
Vision	grim screen capture → VLM description on demand
Wake word	OpenWakeWord always-on detector (low CPU)
Plugins	Drop-in .py plugin folder, hot-reloadable
Clipboard	wl-paste / wl-copy Wayland integration
Tray	KDE Plasma 6 system tray icon

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Installation

Option 1 — Arch Linux (pacman) — recommended

# Download the .pkg.tar.zst from the GitHub Releases page, then:
sudo pacman -U nixorb-0.1.0-1-x86_64.pkg.tar.zst

Option 2 — PyPI

# Install PyTorch with CUDA first (GTX 1080 → CUDA 11.8)
pip install torch==2.7.1+cu118 torchaudio==2.7.1+cu118 \
  --index-url https://download.pytorch.org/whl/cu118

pip install nixorb

Option 3 — AppImage (portable)

chmod +x NixOrb-0.1.0-x86_64.AppImage
./NixOrb-0.1.0-x86_64.AppImage start

Option 4 — Flatpak

flatpak install NixOrb-0.1.0.flatpak
flatpak run io.nixorb.NixOrb

Option 5 — From source (development)

git clone https://github.com/minerofthesoal/nixorb.git
cd nixorb

# System packages
sudo pacman -S --needed python qt6-base qt6-declarative qt6-wayland \
  qt6-multimedia qt6-tools cuda cudnn portaudio wl-clipboard grim \
  ffmpeg base-devel
yay -S --needed kglobalacceld piper-tts openwakeword

# Python environment
python -m venv .venv --system-site-packages
source .venv/bin/activate
pip install torch==2.7.1+cu118 --index-url https://download.pytorch.org/whl/cu118
pip install -e ".[dev]"

# Compile QML shaders (required once)
cd assets/shaders
qsb --glsl "100es,120,150" --hlsl 50 --msl 12 orb_glow.vert -o orb_glow.vert.qsb
qsb --glsl "100es,120,150" --hlsl 50 --msl 12 orb_glow.frag -o orb_glow.frag.qsb
cd ../..

# Run
nixorb start

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Quick start

nixorb start               # Launch GUI orb
nixorb start --headless    # Daemon only (no Qt), for SSH/scripting
nixorb ask "What is 2+2?"  # One-shot LLM query
nixorb tts "Hello world"   # Speak text
nixorb transcribe audio.wav
nixorb check-deps          # Verify Arch packages
nixorb list-devices        # List microphones
nixorb list-plugins        # Show loaded plugins
nixorb memory-search "python"
nixorb memory-clear --yes
nixorb export-config --out backup.tar.gz.enc
nixorb import-config backup.tar.gz.enc
nixorb version

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Configuration

~/.config/nixorb/config.toml is created on first run from the shipped defaults.

Key settings:

hotkey       = "Ctrl+Alt+Space"   # global activation hotkey
llm_backend  = "openai"           # openai | ollama | local
llm_model    = "gpt-4o-mini"
openai_api_key = "sk-..."

tts_backend  = "openai"           # openai | huggingface | piper
tts_voice    = "alloy"

local_model_path    = "/home/you/models/mistral-7b.Q4_K_M.gguf"
fallback_model_path = "/home/you/models/phi-2.Q4_K_M.gguf"

wake_word_enabled   = true
wake_word_model     = "hey_jarvis_v0.1"
screen_capture_enabled = true
require_action_confirmation = true

All settings are also editable via the GUI (right-click orb → Settings).

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VRAM budget — GTX 1080 (8 GB)

Model	VRAM	Priority
Whisper Large v3 INT8	~2.1 GB	LOW — evicted first
Local LLM 7B Q4_K_M	~4.0 GB	HIGH — evicted last
HuggingFace TTS	~1.5 GB	MEDIUM
Piper TTS (offline)	~0.1 GB	MEDIUM
Driver + KDE compositor	~0.5 GB	reserved
Safety buffer	0.25 GB	reserved

Paging flow: hotkey → Whisper loads → transcript → Whisper evicted → LLM loads → response → LLM evicted → TTS speaks.

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Writing a plugin

Drop a .py file into ~/.local/share/nixorb/plugins/ (or the plugins/ repo dir):

TOOL_DEFINITION = {
    "type": "function",
    "function": {
        "name": "my_tool",
        "description": "What this does — the LLM reads this to decide when to call it.",
        "parameters": {
            "type": "object",
            "properties": {
                "input": {"type": "string", "description": "The input"}
            },
            "required": ["input"],
        },
    },
}

def my_tool(input: str) -> str:
    return f"Result: {input.upper()}"

Async plugins work too — use async def. Reload in Settings → Plugins → Reload.

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Architecture

Qt Main Thread          asyncio Event Loop          Thread Pool
──────────────          ──────────────────          ───────────
OrbWindow (QML)    ←── EventBus (PriorityQueue) ←── Whisper inference
SettingsWindow     ←── LLM stream chunks        ←── llama.cpp generate
NixOrbTray         ←── TTS audio chunks         ←── VRAM load/unload
HotkeyManager          VRAMManager monitor           sounddevice record
                        PluginLoader
                        VectorMemory (ChromaDB)

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Security

• Hard-deny list blocks destructive commands unconditionally
• REQUIRE_CONFIRM list prompts user confirmation before sensitive ops
• Optional bubblewrap (bwrap) sandbox with --unshare-net
• NixOrb refuses to run as root
• API keys stored in ~/.config/nixorb/config.toml (mode 600 recommended)
• Config export is PBKDF2 + Fernet encrypted

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Contributing

git clone https://github.com/minerofthesoal/nixorb.git
cd nixorb
pip install -e ".[dev]"
ruff check nixorb/
mypy nixorb/
pytest tests/ -v

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License

MIT © NixOrb Contributors