Llamatik

Llamatik is a Kotlin Multiplatform library and app that enables true on-device AI. It wraps llama.cpp, whisper.cpp, and stable-diffusion.cpp to provide LLM inference, speech-to-text, and image generation capabilities directly on Android, iOS, Desktop, JVM, and WASM platforms. The platform is designed for privacy-conscious users and developers who want to build local-first AI applications without relying on cloud services. The Llamatik App is a ready-to-use offline AI chatbot that runs models locally with no account or setup complexity. For developers, the Llamatik Library provides a unified Kotlin-first API that abstracts away platform-specific native bindings, allowing shared AI logic across mobile, desktop, and server environments. The library supports both on-device inference (using GGUF models) and remote inference via Llamatik Server when more power is needed. A recent addition is Llamatik Code, a privacy-first AI coding assistant plugin for IntelliJ IDEA and Android Studio that runs local LLMs directly inside the IDE. This plugin uses the same Llamatik engine to provide code completion, generation, and chat completely offline. What sets Llamatik apart is its commitment to privacy by default: all data stays on the device, no tracking, no external processing. By eliminating cloud dependencies, Llamatik reduces latency, infrastructure costs, and privacy risks. Compared to cloud-based AI services like OpenAI or Google AI, Llamatik offers full data sovereignty and offline operation, though it lacks the scale and model variety of cloud providers.