Lemonade

Lemonade targets developers and privacy-conscious users who want model inference to happen on their own machine. A single install adds an AI runtime alongside a chat app for everyday use, a CLI for scripting and API endpoints that any compatible client can call. Because it follows the OpenAI API standard, existing applications and SDKs can point at a local Lemonade server instead of a cloud provider with minimal changes.

The platform is deliberately omni-modal: one runtime serves chat and reasoning, vision, image generation, text-to-speech, transcription and embeddings. Rather than locking users into a single backend, Lemonade is a model manager and router. It integrates with model registries such as Hugging Face and ModelScope, lets you swap engines with a custom backend interface, and can route requests to remote servers or cloud APIs on demand when local hardware is not enough. Serving over the local network and an MCP server for coding agents are part of the same story.

Philosophy is a selling point here. Lemonade is free to use with zero telemetry and no upsell: prompts and data stay where you put them. It ships on Windows, macOS and Linux, including Docker, Snap and packages for Ubuntu, Debian, Fedora and Arch, and new releases arrive roughly weekly. An embeddable SDK makes it possible to bundle Lemonade inside another application, which is how a long list of third-party apps already integrate it.