1 <h1 align="center">
2 <br>
3 Onde
4 <br>
5 </h1>
6
7 <p align="center">
8 <strong>On-device inference for cross-platform apps.</strong>
9 <br>
10 Run LLMs, diffusion models, and speech-to-text locally — no cloud, no latency, no data leaving the device.
11 </p>
12
13 <p align="center">
14 <a href="https://crates.io/crates/onde"><img src="https://img.shields.io/crates/v/onde.svg" alt="crates.io"></a>
15 <a href="https://docs.rs/onde"><img src="https://docs.rs/onde/badge.svg" alt="docs.rs"></a>
16 <a href="#license"><img src="https://img.shields.io/badge/license-MIT%2FApache--2.0-blue.svg" alt="License"></a>
17 </p>
18
19 ---
20
21 **Onde** is a Rust crate that gives your app on-device AI in a single dependency. It wraps [mistral.rs](https://github.com/EricLBuehler/mistral.rs) for LLM and image generation, and [whisper.cpp](https://github.com/ggerganov/whisper.cpp) (via [transcribe-rs](https://github.com/cjpais/transcribe-rs)) for speech-to-text — with a unified API that handles model discovery, HuggingFace Hub downloads, cache management, and GPU acceleration across every platform.
22
23 ## License
24
25 MIT License
26
27 ---
28
29 ## Copyright
30
31 <p align="center">
32 2026 <a href="https://ondeinference.com">Onde Inference</a>
33 </p>