Local AI
Privacy-First Mobile AI

Run Advanced AI Models Locally on Android.

No cloud. No tracking. 100% offline. Powered entirely by your device's hardware.

Llama-3-8B
Write a quick sorting algorithm in Kotlin.
32 t/s
fun sort(arr: IntArray) {...}
Message Local AI...

Why Local AI?

Uncompromising privacy meets unmatched performance.

Privacy First

Chat anywhere, anytime without Wi-Fi. Your prompts and sensitive data never leave your device. No servers, no tracking.

Hugging Face Built-in

Browse, search, and download open-source AI models directly from Hugging Face. Fully optimized for the efficient .gguf format.

Smart Hardware Recs

The app analyzes your device's RAM and specifications to recommend the exact models that will run smoothly on your phone.

Deep Performance Tuning

Unlock GPU acceleration, manually define memory limits, adjust CPU threads, and tweak Temperature/Top-P for perfect responses.

3 Steps to Local AI

It's incredibly simple to get started.

1

Browse Models

Explore the integrated Hugging Face library to find the perfect open-source model.

2

Download .gguf

Download a recommended .gguf model customized and tailored for your device's RAM.

3

Start Chatting

Switch between models instantly, test prompts, and chat 100% offline.

Tech Specs

Engineered for
Peak Performance

  • Powered by llama.cpp

    Integrated natively via the llamacpp-kotlin wrapper, the gold standard for quantized LLM inference on edge devices.

  • Modern Native Android

    Built with Jetpack Compose for smooth 120Hz animations. Uses Room Database for local, encrypted on-device storage of your chat histories.

  • Robust Architecture

    Follows modern Android MVVM pattern with Coroutines & StateFlow. Retrofit and Moshi handle efficient, safe Hugging Face API interactions.

Model Tuning
GPU Acceleration
Offload processing to Adreno/Mali GPU
Memory Limit (RAM)4.5 GB
CPU Threads4