KARL Core

The KARL Core module contains the fundamental interfaces, data models, and APIs that define the Project KARL (Kotlin Adaptive Reasoning Learner) framework. This module provides the foundation for building privacy-first, locally adaptive AI systems that learn from user interactions without compromising data privacy.

Key Components

Core Interfaces

• LearningEngine - Defines the contract for AI/ML model implementations

• KarlContainer - Orchestrates the complete KARL system lifecycle

• DataStorage - Abstraction for persistent state and interaction data

• DataSource - Interface for application event integration

Data Models

• InteractionData - Represents user interaction events

• KarlContainerState - Encapsulates serializable learning state

• Prediction - AI-generated suggestions and insights

• KarlInstruction - User-defined learning preferences and rules

API Layer

• Karl - Main entry point with fluent builder pattern

• KarlAPI - Container creation and configuration utilities

Architecture Principles

• Privacy First: All processing remains on-device

• Composable Design: Modular components with clear interfaces

• Multiplatform Ready: Kotlin Multiplatform for cross-platform compatibility

• Coroutine Native: Asynchronous operations with structured concurrency

Usage

val container = Karl.forUser("user_123")
    .withLearningEngine(learningEngine)
    .withDataStorage(dataStorage)
    .withDataSource(dataSource)
    .withCoroutineScope(scope)
    .build()

Dependencies

• Kotlin Standard Library

• Kotlinx Coroutines Core

This module is the foundation upon which all KARL implementations are built.