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Contexts Optical Compression

Home Assistant integration framework for (garbage collection) schedules

The best ChatGPT that $100 can buy.

Analyzes C# codebases to detect patterns and generate context for AI tools

Lucia is your whole home assistant that you always wanted

A framework for building, orchestrating and deploying AI agents and multi-agent workflows with support for Python and .NET.

MLX-VLM is a package for inference and fine-tuning of Vision Language Models (VLMs) on your Mac using MLX.

An iCloud-based relay for using local AI models on your iPhone

MCP Aggregator, Orchestrator, Middleware, Gateway in one docker

Qwen3-omni is a natively end-to-end, omni-modal LLM developed by the Qwen team at Alibaba Cloud, capable of understanding text, audio, images, and video, as well as generating speech in real time.

A Home Assistant integration & Model to control your smart home using a Local LLM

Metal-based implementation of D3D11 and D3D10 for MacOS / Wine

Menu bar App for toggling the Apple Metal Performance HUD globally on macOS

Dreame lawn mower integration for Home Assistant

PixiEditor is a Universal Editor for all your 2D needs

Provides unified access to Apple Intelligence and external LLMS for MAUI and .NET apps

This demo shows how to design the UI for a Windows Forms desktop app using Html and CSS.

This repository contains a suite of libraries that provide facilities commonly needed when creating production-ready applications.

The Roslyn .NET compiler provides C# and Visual Basic languages with rich code analysis APIs.

The official repo for the design of the C# programming language

A patcher to upgrade Crossover dependencies and improve compatibility

T250 - The worlds fastest 3D Printer

Copilot Chat extension for VS Code

LLM inference in C/C++

Unofficial revival of the well known .NET debugger and assembly editor, dnSpy

[NeurIPS'25 Spotlight] Official repository for "Chain-of-Zoom: Extreme Super-Resolution via Scale Autoregression and Preference Alignment"

aider is AI pair programming in your terminal

Run LLMs with MLX