Open Source Alternatives to LM Studio

A local AI interface that allows users to run large language models on their own computers. The software provides a GUI for model interaction and a headless core called llmster for deployment on Linux servers, cloud environments, or CI pipelines. It includes a CLI, an OpenAI compatible API, and SDKs for JavaScript and Python to facilitate developer integration. The tool supports running Apple MLX models and provides access to the LM Studio Hub for model discovery. It is designed for users and developers who require local execution of AI models for privacy or development purposes. The application is deployed as a local installation on Mac, Linux, and Windows operating systems.

Whether you want to cut software costs or escape vendor lock-in, these open source alternatives to LM Studio give you an option you fully own. Run them on your own server or desktop, so your data stays under your control. This page lists 2 open source alternatives to LM Studio. The most popular are Ollama and RWKV Runner. Most use the MIT license, and 1 offers an official Docker image.