Build AI-powered apps with Xybrid, for startup founders, with on-device AI capabilities.
218 stars25 forksRustUpdated 6/2/2026100% free ยท open source
What it does
Xybrid allows startup founders to build and deploy AI-powered apps that run directly on-device, enabling faster and more private processing of user data.
When to use it
โขWhen you need to build an app that can perform complex AI tasks without requiring a constant internet connection
โขWhen user data privacy is a top concern and you want to keep processing on-device
โขWhen you're looking to reduce latency and improve the overall user experience of your app
Quick start
1Install the Xybrid framework using Rust by running the command `cargo add xybrid` in your terminal
2Import the necessary Xybrid modules into your Rust project and initialize the on-device AI engine
3Train and integrate your AI model using Xybrid's APIs and tools, then deploy it within your app
4Test and refine your app's AI-powered features to ensure seamless on-device performance
Ready-to-paste prompt
To get started with a basic image classification model, use the command `xybrid::init_model("image_classification")` in your Rust code
Topics
ai-games
edge-ai
ios
kotlin
llamacpp
llm
mobile-llm
ollama
on-device-ai
on-device-ml
onnx-runtime
privacy
privacy-tools
rust
swift
unity-ai
unity3d
voice-ai
voice-assistant
What's inside โ free to inspect
No purchase needed
Read the entire source before you build โ unlike paid marketplaces that hide it behind a buy button.