Llamatik

On-device LLM inference for Kotlin Multiplatform (Android, iOS, Desktop, JVM) using llama.cpp

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Llamatik is a Kotlin Multiplatform library that enables running large language models locally using llama.cpp with optional remote inference through a unified Kotlin API. It is designed for privacy-first, offline-capable, and cross-platform AI applications, allowing on-device and private inference, Kotlin Multiplatform support, LLM capabilities like text generation and embeddings, hybrid and remote inference options, and seamless switching between local and remote modes. The library provides a shared Kotlin API across Android, iOS, and Desktop platforms, with native performance via Kotlin/Native + C++ and a lightweight, dependency-free runtime.

README:

Llamatik

Run LLMs locally on Android, iOS, and Desktop — using a single Kotlin API.

Offline-first · Privacy-preserving · Kotlin Multiplatform

✨ What is Llamatik?

Llamatik is a Kotlin Multiplatform library that lets you run large language models locally using llama.cpp, with optional remote inference — all behind a unified Kotlin API.

No Python.
No mandatory servers.
Your models, your data, your device.

Designed for privacy-first, offline-capable, and cross-platform AI applications.

🚀 Features

🔐 On-device & Private

✅ Fully offline inference via llama.cpp
✅ No network, no data exfiltration
✅ Works with GGUF models (Mistral, Phi, LLaMA, etc.)

🧩 Kotlin Multiplatform

✅ Shared Kotlin API across Android, iOS, Desktop
✅ Native performance via Kotlin/Native + C++
✅ Lightweight, dependency-free runtime

🧠 LLM Capabilities

✅ Text generation (non-streaming & streaming)
✅ Context-aware generation (system + history)
✅ Schema-constrained JSON generation
✅ Embeddings for vector search & RAG

🌐 Hybrid & Remote

✅ Optional HTTP client for remote inference
✅ Drop-in backend server (llamatik-backend)
✅ Seamlessly switch between local and remote inference

📱 Try it now (No setup required)

Want to see Llamatik in action before integrating it?

The Llamatik App showcases:

On-device inference
Streaming generation
Privacy-first AI (no cloud required)

🔧 Use Cases

🧠 On-device chatbots & assistants
📚 Local RAG systems
🛰️ Hybrid AI apps (offline-first, online fallback)
🎮 Game AI & procedural dialogue

🧱 Architecture

Your App
│
▼
LlamaBridge (shared Kotlin API)
│
├─ llamatik-core     → Native llama.cpp (on-device)
├─ llamatik-client   → Remote HTTP inference
└─ llamatik-backend  → llama.cpp-compatible server

Switching between local and remote inference requires no API changes — only configuration.

🔧 Requirements

iOS Deployment Target: 16.6+
Android MinSDK API: 26

📦 Current Versions

llama.cpp version: b7815

📦 Installation

Llamatik is published on Maven Central and follows semantic versioning.

No custom Gradle plugins
No manual native toolchain setup
Works with standard Kotlin Multiplatform projects

Repository setup

dependencyResolutionManagement {
    repositories {
        google()
        mavenCentral()
    }
}

commonMain.dependencies {
    implementation("com.llamatik:library:0.15.0")
}

⚡ Quick Start

// Resolve model path (place GGUF in assets / bundle)
val modelPath = LlamaBridge.getModelPath("phi-2.Q4_0.gguf")

// Load model
LlamaBridge.initGenerateModel(modelPath)

// Generate text
val output = LlamaBridge.generate(
"Explain Kotlin Multiplatform in one sentence."
)

🧑‍💻 Library Usage

The public Kotlin API is defined in LlamaBridge (an expect object with platform-specific actual implementations).

API surface

@Suppress("EXPECT_ACTUAL_CLASSIFIERS_ARE_IN_BETA_WARNING")
expect object LlamaBridge {
    // Utilities
    @Composable
    fun getModelPath(modelFileName: String): String   // copy asset/bundle model to app files dir and return absolute path
    fun shutdown()                                    // free native resources

    // Embeddings
    fun initModel(modelPath: String): Boolean         // load embeddings model
    fun embed(input: String): FloatArray              // return embedding vector

    // Text generation (non-streaming)
    fun initGenerateModel(modelPath: String): Boolean // load generation model
    fun generate(prompt: String): String
    fun generateWithContext(
        systemPrompt: String,
        contextBlock: String,
        userPrompt: String
    ): String

    // Text generation (streaming)
    fun generateStream(prompt: String, callback: GenStream)
    fun generateStreamWithContext(
        systemPrompt: String,
        contextBlock: String,
        userPrompt: String,
        callback: GenStream
    )

    // Text generation with JSON schema (non-streaming)
    fun generateJson(prompt: String, jsonSchema: String? = null): String
    fun generateJsonWithContext(
        systemPrompt: String,
        contextBlock: String,
        userPrompt: String,
        jsonSchema: String? = null
    ): String

    // Convenience streaming overload (callbacks)
    fun generateStream(prompt: String, callback: GenStream)
    fun generateStreamWithContext(
        system: String,
        context: String,
        user: String,
        onDelta: (String) -> Unit,
        onDone: () -> Unit,
        onError: (String) -> Unit
    )
    
    // Text generation with JSON schema (streaming)
    fun generateJsonStream(prompt: String, jsonSchema: String? = null, callback: GenStream)
    fun generateJsonStreamWithContext(
        systemPrompt: String,
        contextBlock: String,
        userPrompt: String,
        jsonSchema: String? = null,
        callback: GenStream
    )

    fun nativeCancelGenerate()                        // cancel generation
}

interface GenStream {
    fun onDelta(text: String)
    fun onComplete()
    fun onError(message: String)
}

🧑‍💻 Backend Usage

Please go to the Backend README.md for more information.

🔍 Why Llamatik?

✅ Built directly on llama.cpp
✅ Offline-first & privacy-preserving
✅ No runtime dependencies
✅ Open-source (MIT)
✅ Used by real Android & iOS apps
✅ Designed for long-term Kotlin Multiplatform support

📦 Apps using Llamatik

Llamatik is already used in production apps on Google Play and App Store.

Want to showcase your app here? Open a PR and add it to the list 🚀

🤝 Contributing

Llamatik is 100% open-source and actively developed.

Bug reports
Feature requests
Documentation improvements
Platform extensions

All contributions are welcome!

📜 License

This project is licensed under the MIT License.
See LICENSE for details.

Built with ❤️ for the Kotlin community.

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generate text embeddings for search on-device chatbots local rag systems hybrid ai apps

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