AI That Learns
Locally

Build intelligent, personalized applications with on-device AI that learns from user behavior while maintaining complete privacy. No cloud required.

🔒 Privacy First 🚀 Kotlin Native 🧠 Adaptive Learning 🧩 Composable Container Architecture 🤝 Open Source

Explore Docs View on GitHub

Alpha Open Source • Apache 2.0 License

KARL in Action

Why Choose KARL?

Revolutionize how you build intelligent applications with privacy-first, adaptive AI

🔒

Privacy by Design

Zero data egress. All learning and inference happens exclusively on the user's device. User interaction metadata is stored locally and encrypted.

🧠

Adaptive Learning

Starts as a blank slate and learns incrementally from individual user actions, creating truly personalized experiences without assumptions.

🧩

Composable Architecture

Operates within defined "Containers" providing clear boundaries for AI scope, enhancing user trust and control with modular components.

🚀

Kotlin Native

Built with Kotlin Multiplatform for seamless integration with modern Kotlin/JVM and Jetpack Compose applications.

⚡

Real-time Learning

Continuous adaptation through incremental learning with coroutine-based training that doesn't block the UI thread.

🔧

Pluggable Components

Swap implementations for learning engines and data storage. Support for KotlinDL, Room, and custom implementations.

How KARL Works

A composable container architecture that puts privacy and user control first

KarlContainer

Central orchestrator managing lifecycle and component interactions

LearningEngine

AI model for training and prediction (KotlinDL implementation)

DataStorage

Persistent storage for model state and interaction history

DataSource

Application integration for capturing user behaviors

1. Data Collection

Your application feeds user interaction metadata to KARL through the DataSource interface.

2. Local Learning

The LearningEngine processes interactions incrementally, updating the AI model on-device.

3. Secure Storage

Model state and interactions are persisted locally with encryption and user isolation.

4. Personalized Predictions

Generate intelligent suggestions and insights based on learned user patterns.

Get Started in Minutes

Simple, type-safe API for building intelligent applications

// Add to your build.gradle.kts
dependencies {
    implementation("com.karl:karl-core:x.y.z")
    implementation("com.karl:karl-kldl:x.y.z")
    implementation("com.karl:karl-room:x.y.z")
    implementation("com.karl:karl-compose-ui:x.y.z") // Optional
}

// Create a KARL container for a user
val container = Karl.forUser("user_123")
    .withLearningEngine(KLDLLearningEngine())
    .withDataStorage(RoomDataStorage(dao))
    .withDataSource(applicationDataSource)
    .withCoroutineScope(applicationScope)
    .build()

// Initialize and start learning
container.initialize()

// Feed interaction data
dataSource.recordInteraction(InteractionData(
    type = "button_click",
    details = mapOf("action" to "save_document"),
    timestamp = System.currentTimeMillis(),
    userId = "user_123"
))

// Get AI predictions
container.getPredictions().collect { prediction ->
    // Use AI insights in your application
    when (prediction.type) {
        "suggestion" -> showSuggestion(prediction.content)
        "warning" -> showWarning(prediction.content)
    }
}

Real-World Applications

Privacy-first AI for applications where user trust matters most

💻

Developer Tools

Command suggestions, error prediction, and personalized IDE layouts based on individual workflow patterns.

📋

Productivity Apps

Adaptive task suggestions, habit tracking reminders, and focus modes that learn from private usage patterns.

🎯

Content Recommendation

Recommend articles, music, or products based entirely on local interaction history without cloud analysis.

🎨

Adaptive UI

Dynamically rearrange UI elements or highlight features based on individual usage frequency.

🏠

Smart Home

Learn user preferences for lighting, temperature, and controls based on local interactions only.

🏥

Health & Wellness

Personalized insights based on locally tracked data while ensuring HIPAA compliance and privacy.

AI That Learns Locally