uzu
Run AI models directly inside your app with zero latency
All Skills in This Repository (8)
Pure Emerald Level Indicatorsvalidate-inference
Validates inference outputs by comparing them with reference results via Rust cargo test harness.
list-downloaded-models
List downloaded models by inspecting the ./models/{ENGINE_VERSION} directory structure.
architecture
Document the core architecture and component interactions of the uzu inference engine.
download-model
Download test models by REPO_ID into ./models/{ENGINE_VERSION}/{MODEL_NAME}.
trace-model
Validate per-layer AI model inference outputs against traces.safetensors.
metal-gpu-debug
Automate Metal GPU trace collection, parsing, and analysis on macOS.
list-models
List models supported by the inference engine via the Python helper.
benchmark-model
Benchmark AI model inference latency, throughput, and resource usage via CLI.
Frequently Asked Questions
FAQPage SchemaHow to install uzu?โผ
Run `npx skills add trymirai/uzu --all -g -y` in your terminal to install all skills in this suite globally.
What does uzu do?โผ
Uzu is a high-performance inference engine that lets you run AI models directly inside your app on the user's device, with zero latency, full data privacy, and no inference costs.
Which programming languages does uzu support?โผ
Uzu provides ready-to-use APIs for Rust, Python, Swift, and TypeScript, so you can embed on-device AI in mobile, desktop, or server apps.
Does uzu work on iPhones and Macs?โผ
Yes. Uzu is optimized for Apple devices and uses unified memory on iOS and macOS for fast, efficient local inference.
Do I need to manage model downloads manually?โผ
No. Uzu handles model downloading, configuration, and chat session setup automatically through its high-level API.
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