on-device-ai

Automation foundation model for tiny devices: 2-bit, 8-29 MB, tool calls, structured extraction and embeddings on phones, wearables, smart homes, robots, cars and microcontrollers.

NobodyWho is an inference engine that lets you run LLMs locally and efficiently on any device.

Metric depth from one RGB frame and a phone LiDAR: LiDAR-prompted MoGe-3 with real-time on-device models (Core ML + Metal)

Open-source iOS app connecting Meta Ray-Ban smart glasses to AI — 5 backends (on-device MLX models, Apple Intelligence, OpenAI, Gemini Live, OpenClaw), on-device neural voice, face recognition & live web search. Private and offline-capable.

Private on-device AI chat for Android — runs any GGUF model locally via llama.cpp with ARM-optimised SIMD. Zero network permissions, encrypted settings, biometric lock, tamper detection. + GPU Acceleration