on-device-ai

Production ready toolkit to run AI locally

14MB foundation model for tiny devices; phones, wearables, smart home, and robots.

Run frontier LLMs and VLMs locally on Qualcomm devices across NPU, GPU, and CPU with a few lines of code

Gemma 4 26B-A4B inference in ~2 GB of RAM on any M-series MacBook

LiteRT-LM is Google's production-ready, high-performance, open-source inference framework for deploying Large Language Models on edge devices.

Quantization, kernels, runtime and inference engine for mobiles, wearables, smart home and robots.

AI You Control: Choose your models. Own your data. Eliminate vendor lock-in.

An AI-powered file management tool that ensures privacy by organizing local texts, images. Using Llama3.2 3B and Llava v1.6 models with the Nexa SDK, it intuitively scans, restructures, and organizes files for quick, seamless access and easy retrieval.

Run Claude Code 100% on-device with local AI on Apple Silicon. MLX-native Anthropic-API server. 6 fighters incl. Muse-Glimmer 30B (now multimodal — reads images, abliterated), Gemma 4 31B, Qwen 3.5 122B (65 tok/s), DeepSeek V4 Flash (1M ctx). Private, offline, airgap-ready. Built for NDA / legal / healthcare workflows.

Mano-P: Open-source GUI-VLA agent for edge devices. #1 on OSWorld (specialized, 58.2%). Runs locally on Apple M4 Mac mini/MacBook — no data leaves your device.Mano-P 是一个开源 GUI-VLA 项目，支持在 Mac mini/MacBook 上或通过算力棒本地运行推理，实现纯视觉驱动的跨平台 GUI 自动化操作。数据完全本地处理，支持复杂多步骤任务规划与执行。

On-device, real-time multimodal AI with features similar to GPT-Live

Core ML model zoo for iOS/macOS — PyTorch models converted to ready-to-use .mlpackage, each with a conversion script and SwiftUI sample app. Sibling repos cover Apple's Core AI framework (iOS/macOS 27) and on-device LLMs.

Declarative way to run AI models in React Native on device, powered by ExecuTorch.

Talk to your Mac, query your docs, no cloud required. On-device voice AI + RAG

[ICLR 2019] ProxylessNAS: Direct Neural Architecture Search on Target Task and Hardware

Fine-tune LLMs on your Mac with Apple Silicon. SFT, DPO, GRPO, Vision, TTS, STT, Embedding, and OCR fine-tuning — natively on MLX. Unsloth-compatible API.

On-device LLM execution in React Native with Vercel AI SDK compatibility

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

A practical lab for building, testing, and evaluating apps with Apple's Foundation Models framework.

Official PyTorch implementation of "EdgeSAM: Prompt-In-the-Loop Distillation for On-Device Deployment of SAM"

NativeMind: Your fully private, open-source, on-device AI assistant

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

Muesli: agent-native local meeting transcription + dictation for macOS (Granola + WisprFlow alternative)

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

[CVPR 2025] Official PyTorch implementation of "EdgeTAM: On-Device Track Anything Model"

TinyChatEngine: On-Device LLM Inference Library

Sudoless Apple Silicon system monitor (native SwiftUI GUI) with ANE / Media Engine / memory-bandwidth tracking

Local-first, open-source AI assistant for your data. Unify tasks, notes, docs, photos, and bookmarks. Private, self-hosted, and extensible via APIs.

Optimized Whisper models for streaming and on-device use

Shared Single-file memory layer for all your agents, sub mili-second RAG over text, photo and video on Apple Silicon.. No Server. No API. One File. Pure Swift