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.
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Updated
Sep 23, 2026 - Python
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.
Production ready toolkit to run AI locally
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.
High-performance, privacy-first on-device AI inference library for React Native, powered by PyTorch's ExecuTorch runtime
[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
Local Laya typed decisions on Apple Core ML and Neural Engine. Validated ports, ~5 ms short decisions on M3 Max, reproducible speed and energy benchmarks.
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)
PhoneClaw turns phones into local AI agent runtimes with on-device models, native mobile Skills, LiveLand, and optional Mac Gateway inference.
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