litert

PhoneClaw turns phones into local AI agent runtimes with on-device models, native mobile Skills, LiveLand, and optional Mac Gateway inference.

OpenClaw alternative in your pocket

PokeClaw (PocketClaw) — first on-device AI that controls your Android phone. Gemma 4, no cloud, no API key. Poke is short for Pocket.

A tool for converting ONNX files to LiteRT/TFLite/TensorFlow, PyTorch native code (nn.Module), TorchScript (.pt), state_dict (.pt), Exported Program (.pt2), and Dynamo ONNX. It also supports direct conversion from LiteRT to PyTorch.

The most advanced, fully offline client-side AI suite on Android today.

Official Ultralytics YOLO Flutter plugin for real-time inference on Android and iOS across major vision tasks.

XR Blocks is a lightweight WebXR + AI library for rapidly prototyping advanced AI + XR experiences.

Run local LLMs like Gemma, Qwen, and LLaMA on Android for offline, private, real-time chat and question answering with LiteRT and ONNX Runtime.

Turn your Android phone into an OpenAI-compatible LLM inference server - Fully local, private and Open Source

On-device VAD / streaming STT / TTS / diarization in C++17 (ONNX + LiteRT) with a voice-agent pipeline. Linux, Windows, Android.

Run ml models with tflite & litert & executorch runtimes on edge devices

A human-centric, resource-aware Android node for edge computing and federated learning. Orchestrates distributed intelligence with privacy-first localization and empathetic hardware management.

A desktop application that estimates where the user is looking on the selected display and renders a red gaze marker at the estimated hit position. MediaPipe dependency-free.

Swift package for running LiteRT-LM models on iOS. Wraps Google's C API in a clean, async/await Swift interface.

This repository is an implementation of converting the YOLOv10 object detection model to LiteRT (.tflite) format and deploy it on Android using Google AI Edge for on-device inference.

on-device sensitive content blocker for Android. Works across any app powered by a custom-trained on-device AI model.

A clean, private calculator with an optional on-device AI math solver — no tracking, no ads.

Pocket AutoML: Tutorial for Creating an Android App for Image Classification with Deep Learning

Run Gemma 4 (LiteRT-LM) on iPhone the easy way — and as an Apple Foundation Models backend. Metal GPU, multimodal, in-app download.

Structured Output Matching & Association: online multi-person tracking built on the structured output of a multi-task wholebody detector, one whole-frame pass per frame (plus per-crop ReID embeddings in SOMA-R) — no tiling, no offline post-processing.