Project Overview
Rapid-MLX is an open-source AI inference engine optimized for Apple Silicon. According to the official claims, it performs 4.2x faster than Ollama and achieves a cached Time-to-First-Token (TTFT) of just 0.08 seconds.
Key Features
- 17 tool parsers for versatile tool invocation.
- Prompt caching for faster response to repeated requests.
- Inference separation with cloud routing for flexible load balancing.
Tech Stack and Compatibility
The project is primarily written in Python and licensed under Apache-2.0. It is designed as a plug-and-play OpenAI API alternative and integrates seamlessly with developer tools such as Claude Code and Cursor.
Target Use Cases
It targets Mac developers who prioritize low latency and local privacy, offering a lightweight solution.










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