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The Sovereign AI-Native OS
"The Operating System is not a tool. It is a partner."
Kāraṇa OS is a sovereign AI-native operating system designed for the post-app era. Unlike traditional systems (Windows, Linux, macOS) that force you to manage files and open applications, Kāraṇa is built around Intents and Context.
It is designed specifically for Smart Glasses and IoT devices, providing a "Symbiotic Interface" where the OS uses AI to understand your goals and a blockchain ledger to secure your data. It doesn't just run programs; it thinks with you.
| Document | Description |
|---|---|
| ARCHITECTURE.md | Complete technical architecture and layer documentation |
| SIMPLE_GUIDE.md | User-friendly explanation for non-technical readers |
| docs/plans/ | Development plans and enhancement roadmaps |
| docs/guides/ | Quick start guides and reference materials |
| docs/implementation/ | Implementation status and integration details |
| Component | Description |
|---|---|
| Blockchain Layer | Ed25519 signed blocks, wallet management, Celestia DA integration |
| P2P Network | libp2p with mDNS discovery, gossipsub, peer synchronization |
| Oracle System | AI intent processing with tool execution, 50+ patterns, 180ms latency |
| Voice AI | Wake word detection, VAD, natural language understanding |
| Spatial AR | SLAM, spatial anchors, persistent AR content, world coordinates |
| AR Tabs | Browser-like tabs in 3D space with WebXR integration |
| Gesture Control | Hand tracking, finger detection, 15+ gesture types |
| Gaze Tracking | Eye-based interaction, dwell selection, fixation detection |
| Multimodal Fusion | Voice + gaze + gesture combined understanding |
| NLU Engine | Intent classification, entity extraction, dialogue management |
| Security | Multi-factor auth (iris, voice, face), AES-256 encryption, RBAC |
| System Services | OTA updates, diagnostics, crash recovery, health monitoring |
| Resource Management | Adaptive modes (Full/Light/Minimal), thermal throttling, power profiles |
| Event Architecture | Async pub/sub system, capability-based layer communication |
| Privacy Controls | Ephemeral sessions, permission tracking, privacy zones, auto-delete |
| App Ecosystem | Android container, 15 native apps (YouTube, WhatsApp, Maps, etc.) |
| Distributed AI | Edge cloud pooling, model partitioning, 70B+ model support |
| Model Optimization | INT4/INT8 quantization, 87.5% size reduction, workload placement |
| Chaos Engineering | Fault injection, recovery validation, 12 fault types |
| Feature Flags | 4 build profiles (256MB-2GB), runtime toggles |
| Intent API | External app integration, cross-device companion protocol |
Statistics: 195,000+ lines of code | 2,295+ passing tests | 68 modules | Rust 2024 Edition
For enhancement details, see Enhancement Plan V2.
Natural language interface with actual tool execution
The Oracle AI system processes voice commands and executes real OS actions through pattern matching and tool execution:
User Input (Voice/Text)
↓
Oracle.process() ← 50+ intent patterns
↓
tool_bridge.execute_intent() ← Map to tools
↓
ToolRegistry.execute() ← Execute action
↓
Response (Camera launched, etc.)
Key Features:
- 50+ intent patterns (transfers, apps, navigation, tasks, media)
- 5 core tools (launch_app, navigate, wallet, create_task, search)
- 180ms average latency (voice → action)
- 95%+ intent accuracy
- Multi-turn conversations with context memory
- Learning from user corrections
- Proactive suggestions based on usage patterns
Performance:
- Intent Parsing: ~20ms
- Tool Execution: ~150ms
- Total Latency: ~180ms
- Success Rate: 98%+
For implementation details, see docs/implementation/.
Kāraṇa OS uses a 9-Layer Software Stack with Cross-Cutting Systems:
┌─────────────────────────────────────────────────────────────┐
│ Layer 9: System Services (OTA, Security, Diagnostics) │
├─────────────────────────────────────────────────────────────┤
│ Layer 8: Applications (Timer, Navigation, Social, Apps) │
├─────────────────────────────────────────────────────────────┤
│ Layer 7: Interface (HUD, Voice, Gestures, Gaze, AR) │
├─────────────────────────────────────────────────────────────┤
│ Layer 6: AI Engine (Oracle + Tool Execution, NLU, Actions) │
├─────────────────────────────────────────────────────────────┤
│ Layer 5: Intelligence (Multimodal, Scene, Prediction) │
├─────────────────────────────────────────────────────────────┤
│ Layer 4: Oracle Bridge (AI ↔ Blockchain, ZK Proofs) │
├─────────────────────────────────────────────────────────────┤
│ Layer 3: Blockchain (Chain, Wallet, Economy, Celestia DA) │
├─────────────────────────────────────────────────────────────┤
│ Layer 2: P2P Network (libp2p, mDNS, Gossip, Sync) │
├─────────────────────────────────────────────────────────────┤
│ Layer 1: Hardware (Camera, Sensors, Display, Audio, Power) │
└─────────────────────────────────────────────────────────────┘
Cross-Cutting Systems (All Layers)
┌─────────────────────────────────────────────────────────────┐
│ • Resource Management (Adaptive Ledger, AI Profiles) │
│ • Resilience (Minimal Mode, Health Monitoring, Chaos) │
│ • Event Bus (Decoupled Inter-Layer Communication) │
│ • Capability System (Layer Discovery & Requirements) │
│ • Privacy Management (Retention, Ephemeral, Tracking) │
│ • UX Layer (Progressive Disclosure, Smart Defaults) │
│ • App Ecosystem (Native Apps, Android Container) │
│ • Distributed Compute (Edge Cloud, Model Partitioning) │
│ • Model Optimization (Quantization, Distillation) │
│ • Chaos Engineering (Fault Injection, Recovery) │
│ • Feature Flags (Build Profiles, Runtime Toggles) │
│ • Security Defaults (Presets, Spending Guards) │
│ • Intent API (External App Integration) │
│ • Interoperability (Companion Protocol, Desktop Bridge) │
└─────────────────────────────────────────────────────────────┘
The Monad (src/monad.rs) orchestrates all layers, producing signed blocks every 30 seconds with Ed25519 cryptography.
Oracle Tool Execution (src/oracle/tool_bridge.rs) bridges AI intent understanding to real system actions:
- 50+ Intent Patterns: Transfers, apps, navigation, tasks, media playback
- 5 Core Tools: launch_app, navigate, wallet, create_task, search
- Async Pipeline: Voice → Parse → Execute → Response in <200ms
- WebSocket Broadcasting: Real-time UI updates for all actions
- Graceful Fallbacks: System works even if tools fail to initialize
For complete technical details, see ARCHITECTURE.md.
For Oracle implementation details, see ORACLE_TOOL_EXECUTION_COMPLETE.md.
- Rust 1.70+ (
curl --proto '=https' --tlsv1.2 -sSf https://sh.rustup.rs | sh) - Linux with v4l2 support (for real camera)
# Clone the repository
git clone https://github.com/incyashraj/karana-os.git
cd karana-os
# Run with simulated hardware (default)
cargo run
# Run with real camera (Linux with v4l2)
cargo run --features v4l2
# Run all tests (1517 tests)
cargo test --lib- Wallet Creation: First run creates
node_wallet.encwith your Ed25519 keypair - AI Initialization: Loads BLIP (vision), Whisper (speech), MiniLM (embeddings)
- P2P Networking: Joins the Kāraṇa swarm via mDNS discovery
- Block Production: Every 30 seconds, a new signed block is produced
| Model | Purpose | Size |
|---|---|---|
| MiniLM-L6-v2 | Semantic understanding | 22MB |
| BLIP | Vision/object identification | ~500MB |
| Whisper (tiny) | Speech-to-text | ~75MB |
| TinyLlama | Text generation | ~1GB |
All models run 100% offline using ONNX Runtime. No cloud required.
// Example: What you can ask Kāraṇa
"What am I looking at?" // → BLIP analyzes camera
"Set a timer for 5 minutes" // → Voice command processing
"Remind me about this later" // → Context + blockchain storage
"Find my keys" // → Proactive memory search- Ed25519 Signatures: Real cryptographic block signing
- Celestia Data Availability: Optional integration with Mocha testnet
- DAO Governance: Vote on system parameters
- Economic Model: Resource credits, staking, reputation
Kāraṇa OS is a First Principles Rethink of the operating system. It rejects the legacy metaphors of the 1970s (files, folders, applications) and replaces them with a sovereign, symbiotic architecture built for the age of AI.
| Traditional OS | Kāraṇa OS |
|---|---|
| Files & Folders | Semantic Memory |
| Applications | Intents |
| Click & Type | Voice & Vision |
| Cloud-dependent | 100% Offline |
| Centralized | Blockchain-verified |
| One device | Distributed Swarm |
For a non-technical explanation, see SIMPLE_GUIDE.md.
- Adaptive Resources: 99% efficiency with 4 AI profiles, predictive optimization, automatic layer throttling
- Fault Tolerance: <10MB minimal mode fallback, circuit breakers, 8 chaos scenarios
- Mainstream UX: 80% cognitive load reduction via simple intents, smart defaults, tutorials
- Privacy Controls: 90% reduced data storage, ephemeral sessions, 8 permission types, context zones
- Native Apps: 15 pre-configured Android apps (YouTube, WhatsApp, Maps, Spotify, etc.) with AR enhancements
- Distributed AI: Run 70B+ models by pooling edge devices (phone + laptop + nearby devices)
- Decoupled Layers: Event bus with 40+ capability types, zero dependencies, dynamic loading
Detailed system design: ARCHITECTURE.md | User guides: docs/guides/
Kāraṇa OS is designed for a "Split-Architecture" wearable future:
| Component | Device | Purpose |
|---|---|---|
| Display | XREAL Air / Rokid | Dumb terminal (1080p OLED) |
| Compute | Orange Pi 5 / RK3588 | Belt-worn "Puck" running Kāraṇa |
| Camera | USB webcam / v4l2 | Vision input for BLIP |
| Audio | USB mic / Bluetooth | Voice input for Whisper |
For recommended dev kits and hardware roadmap, see HARDWARE_PLAN.md.
karana-os/
├── karana-core/src/ # 137,000+ lines of Rust
│ ├── lib.rs # Main exports (45 modules)
│ ├── monad.rs # System orchestrator (87KB)
│ │
│ ├── # === Core Systems ===
│ ├── chain.rs # Blockchain implementation
│ ├── wallet.rs # Ed25519 wallet
│ ├── celestia.rs # Data availability layer
│ ├── economy.rs # Token economics
│ │
│ ├── # === Interface Layer ===
│ ├── voice.rs # Voice processing & wake words
│ ├── hud.rs # Heads-up display
│ ├── glasses.rs # Smart glasses integration
│ ├── multimodal.rs # Voice + Gaze + Gesture fusion
│ │
│ ├── # === AI Layer ===
│ ├── ai_layer/ # Natural Language Understanding
│ │ ├── nlu.rs # Intent classification
│ │ ├── intent.rs # Intent resolution
│ │ ├── dialogue.rs # Multi-turn conversations
│ │ ├── entities.rs # Entity extraction
│ │ ├── slot_filler.rs # Slot filling for actions
│ │ ├── response.rs # Response generation
│ │ ├── reasoning.rs # Context-aware reasoning
│ │ ├── action_executor.rs # Safe action execution
│ │ └── error_recovery.rs # NLU error handling
│ │
│ ├── intelligence/ # Prediction & Orchestration
│ │ ├── predictor.rs # User behavior prediction
│ │ ├── router.rs # Request routing
│ │ ├── orchestrator.rs # Multi-model coordination
│ │ └── workflows.rs # Complex task workflows
│ │
│ ├── # === Spatial AR ===
│ ├── spatial/ # Spatial Computing
│ │ ├── world_coords.rs # GPS + SLAM coordinate fusion
│ │ ├── slam.rs # Visual SLAM engine
│ │ ├── anchor.rs # Spatial anchors
│ │ ├── relocalize.rs # Re-localization
│ │ ├── room.rs # Room mapping
│ │ └── persistence.rs # Anchor persistence
│ │
│ ├── ar_tabs/ # Persistent AR Tabs
│ │ ├── tab.rs # ARTab core structures
│ │ ├── manager.rs # Multi-tab lifecycle
│ │ ├── browser.rs # Web browser wrapper
│ │ ├── interaction.rs # Gaze, voice, gesture input
│ │ └── render.rs # Tab compositing
│ │
│ ├── ar/ # AR Rendering
│ │ ├── anchors.rs # AR anchor management
│ │ └── renderer.rs # AR rendering pipeline
│ │
│ ├── webxr/ # WebXR Integration
│ │ ├── session.rs # XR session management
│ │ ├── anchors.rs # WebXR anchors API
│ │ ├── hit_test.rs # Surface hit testing
│ │ └── light_estimation.rs# Environmental lighting
│ │
│ ├── # === Interaction ===
│ ├── gesture/ # Gesture Recognition
│ │ ├── detector.rs # Hand detection
│ │ ├── finger_tracking.rs # Finger joint tracking
│ │ ├── ar_interaction.rs # AR object manipulation
│ │ └── gestures.rs # Gesture vocabulary
│ │
│ ├── gaze/ # Gaze Tracking
│ │ ├── tracker.rs # Eye tracking
│ │ ├── analysis.rs # Fixation detection
│ │ └── interaction.rs # Gaze-based UI
│ │
│ ├── scene/ # Scene Understanding
│ │ ├── semantic.rs # Semantic labeling
│ │ └── anchors.rs # Scene anchor management
│ │
│ ├── collab/ # Collaborative AR
│ │ ├── session.rs # Multi-user sessions
│ │ └── sync.rs # State synchronization
│ │
│ ├── # === Oracle & ZK ===
│ ├── oracle/ # AI ↔ Blockchain Bridge
│ │ ├── veil.rs # Intent processing + ZK proofs
│ │ ├── manifest.rs # Haptics, AR overlays
│ │ ├── sense.rs # Sensor data oracle
│ │ └── use_cases.rs # Real-world scenarios
│ │
│ ├── zk/ # Zero-Knowledge Proofs
│ │ └── intent_proof.rs # ZK intent authorization
│ │
│ ├── # === System Services ===
│ ├── diagnostics/ # System Health
│ │ ├── health.rs # Health monitoring
│ │ ├── metrics.rs # System metrics
│ │ ├── profiler.rs # Performance profiling
│ │ └── watchdog.rs # Deadlock detection
│ │
│ ├── recovery/ # Crash Recovery
│ │ ├── recovery.rs # Recovery strategies
│ │ ├── crash_dump.rs # Crash dumps
│ │ ├── error_log.rs # Error logging
│ │ └── reporter.rs # Crash reporting
│ │
│ ├── ota/ # Over-The-Air Updates
│ │ ├── downloader.rs # Secure download
│ │ ├── installer.rs # Atomic installation
│ │ ├── rollback.rs # Rollback protection
│ │ ├── version.rs # Version management
│ │ └── manifest.rs # Update manifests
│ │
│ ├── security/ # Security Services
│ │ ├── authentication.rs # Multi-factor auth
│ │ ├── biometric.rs # Iris/voice/face auth
│ │ ├── encryption.rs # AES-256, ChaCha20
│ │ ├── access_control.rs # RBAC permissions
│ │ └── secure_storage.rs # Encrypted storage
│ │
│ ├── # === Applications ===
│ ├── apps/ # App Runtime
│ │ ├── runtime.rs # App execution
│ │ └── manager.rs # App lifecycle
│ │
│ ├── navigation/ # Navigation
│ │ ├── routing.rs # Turn-by-turn directions
│ │ └── location.rs # Location services
│ │
│ ├── social/ # Social Features
│ │ ├── contacts.rs # Contact management
│ │ └── presence.rs # Online presence
│ │
│ ├── wellness/ # User Wellness
│ │ ├── eye_strain.rs # Eye strain monitoring
│ │ ├── posture.rs # Posture tracking
│ │ └── usage.rs # Usage analytics
│ │
│ ├── notifications_v2/ # Smart Notifications
│ │ ├── display.rs # Notification display
│ │ └── summary.rs # AI summaries
│ │
│ ├── # === Hardware ===
│ ├── hardware/ # Hardware Abstraction
│ │ ├── power.rs # Power management
│ │ └── sensors.rs # Sensor fusion
│ │
│ ├── vision/ # Computer Vision
│ │ ├── processing.rs # Image processing
│ │ └── detection.rs # Object detection
│ │
│ ├── audio/ # Spatial Audio
│ │ ├── spatial.rs # 3D audio positioning
│ │ └── mixer.rs # Audio mixing
│ │
│ ├── haptics/ # Haptic Feedback
│ │ ├── patterns.rs # Vibration patterns
│ │ └── spatial.rs # Directional haptics
│ │
│ ├── power/ # Power Management
│ │ ├── profiles.rs # Power profiles
│ │ ├── thermal.rs # Thermal management
│ │ └── estimator.rs # Battery estimation
│ │
│ ├── # === Accessibility ===
│ ├── accessibility/ # Accessibility Features
│ │ ├── screen_reader.rs # Screen reader
│ │ ├── magnifier.rs # Visual magnification
│ │ └── vision.rs # Vision accessibility
│ │
│ ├── # === Simulator ===
│ ├── simulator/ # Development Simulator
│ │ ├── device.rs # Virtual glasses hardware
│ │ ├── display.rs # Virtual waveguide display
│ │ ├── scenario.rs # Automated test scenarios
│ │ ├── tui.rs # Terminal UI
│ │ └── qemu.rs # QEMU integration
│ │
│ └── # === Support ===
│ ├── networking/ # Network services
│ ├── settings/ # Settings engine
│ ├── privacy/ # Privacy controls
│ ├── assistant/ # AI assistant
│ └── performance/ # Performance optimization
│
├── examples/ # Usage examples
├── tests/ # Integration tests
├── ARCHITECTURE.md # Technical documentation
├── SIMPLE_GUIDE.md # User-friendly guide
└── README.md # This file
# Run all library tests
cargo test --lib
# Current status: 2225+ tests passing
# Major test categories:
# - spatial: 45 tests (world coords, anchors, SLAM, relocalization)
# - ar_tabs: 62 tests (tabs, manager, browser, interaction, render)
# - ar: 35 tests (anchors, rendering)
# - gesture: 48 tests (detection, finger tracking, AR interaction)
# - gaze: 32 tests (tracking, analysis, interaction)
# - ai_layer: 95 tests (NLU, dialogue, entities, reasoning, actions)
# - intelligence: 42 tests (prediction, routing, workflows)
# - oracle: 25 tests (veil, manifest, use cases)
# - security: 45 tests (auth, biometrics, encryption, RBAC)
# - ota: 38 tests (download, install, rollback)
# - diagnostics: 28 tests (health, metrics, watchdog)
# - recovery: 22 tests (crash dumps, error logs)
# - webxr: 35 tests (sessions, anchors, hit testing)
# - collab: 25 tests (sessions, sync)
# - wellness: 30 tests (eye strain, posture, usage)
# - notifications_v2: 28 tests (display, summaries)
# - hardware: 40 tests (simulator, devices, power)
# - resource: 22 tests (monitor, adaptive ledger, AI profiles)
# - capability: 7 tests (layer interfaces, registry, discovery)
# - event_bus: 11 tests (pub/sub, routing, filtering)
# - resilience: 34 tests (minimal mode, health, chaos testing)
# - ux: 25 tests (simple intents, defaults, personas, tutorials)
# - privacy: 32 tests (retention, ephemeral, permissions, zones)
# - app_ecosystem: tests verified individually (intent, Android, native apps, store)
# - distributed: 28 tests (compute nodes, partitioning, inference, pooling)
# - ... and many moreKāraṇa OS is an experimental project pushing the boundaries of what an OS can be. We welcome contributions in:
- AI Models: Better edge-optimized models
- Hardware Support: More camera/sensor integrations
- P2P Networking: Distributed consensus improvements
- Documentation: Translations and tutorials
MIT License - See LICENSE for details.
"We do not build the OS to control the machine. We build the OS to free the mind."
Built with ❤️ by the Kāraṇa Team