MLX Omni Server is a local inference server powered by Apple's MLX framework, specifically designed for Apple Silicon (M-series) chips. It implements OpenAI-compatible API endpoints, enabling seamless integration with existing OpenAI SDK clients while leveragi
Run AI models locally on Apple Silicon devices using a simple API.
Claim its page: indexed whatever its rank, translated into six languages, and enriched with what you write yourself.
Get an email alert on its next release or when it starts trending — never miss the moment.
Free · no card · unsubscribe anytimeMLX Omni Server is a local inference server powered by Apple's MLX framework, specifically designed for Apple Silicon (M-series) chips. It implements OpenAI-compatible API endpoints, enabling seamless integration with existing OpenAI SDK clients while leveragi
mlx-omni-server has 733 stars on GitHub. It has been forked 90 times. mlx-omni-server is written mainly in Python. It has been in active development since 2024. mlx-omni-server is available under the MIT license. Its main topics are function-calling, genai, mlx, openai.
MLX Omni Server is a local inference server powered by Apple's MLX framework, specifically designed for Apple Silicon (M-series) chips. It implements OpenAI-compatible API endpoints, enabling seamless integration with existing OpenAI SDK clients while leveragi
mlx-omni-server is an open-source project. It is released under the MIT license.
Yes. mlx-omni-server is free and open source — you can use, modify and self-host it.
mlx-omni-server is available under the MIT license.
mlx-omni-server is written mainly in Python.
Add this live badge to your README — your GitHub stars and directory rank, refreshed daily.
[](https://olud.ai/project/madroidmaq-mlx-omni-server.html)
Measured from GitHub topics shared by both projects, weighted by how rare each topic is.