litert

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

Deep learning gateway on Raspberry Pi and other edge devices

OpenClaw alternative in your pocket

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

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.

On-device AI for Flutter — Gemma and other LLMs, multimodal, function calling, embeddings, RAG and speech on Android, iOS, Web, macOS, Windows and Linux.

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

Peak compute, memory bandwidth and latency of CPUs, GPUs and NPUs: the same tests through every API that reaches a device. Command line and app for Windows, macOS, Linux and Android

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.

On-device AI SDKs for iOS, macOS, Android, and the web. Small, focused models that run fully offline in Swift, Kotlin, and JavaScript with Core ML, LiteRT, and WebAssembly.

Record a chess game live and upload the PGN to Lichess

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 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.

An AI agent you build, not just prompt. Local-first Android agent with on-device inference (LiteRT-LM), pipelines you assemble yourself, MCP tool calling, and your confirmation before any risky action.