🖥️ Lemonade

In short, it tries to streamline the discovery and execution of local AI applications. The project focuses on serving optimized LLMs directly from a user's own GPUs and NPUs, acting as a foundational layer for running various local AI tools. The interesting part is its inclusion of Model Context Protocol (MCP) server capabilities alongside its inference backend. As more users look to run large models locally for privacy or latency reasons, infrastructure projects like this that bridge hardware compute with the broader AI application ecosystem are becoming increasingly practical.