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Rapid-MLX
Python

Rapid-MLX

The fastest local AI engine for Apple Silicon. 4.2x faster than Ollama, 0.08s cached TTFT, 100% tool calling. 17 tool parsers, prompt cache, reasoning separation, cloud routing. Drop-in OpenAI replacement. Works with Claude Code, Cursor, Aider.

by raullenchai · GitHub
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apple-siliconclaude-codecursorPythonSelf-hostable
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In plain words

Run a fast AI engine on your Apple computer to replace OpenAI tools and improve your local AI tasks.

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4k3k
2026-07-072026-08-31
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📄 About

The fastest local AI engine for Apple Silicon. 4.2x faster than Ollama, 0.08s cached TTFT, 100% tool calling. 17 tool parsers, prompt cache, reasoning separation, cloud routing. Drop-in OpenAI replacement. Works with Claude Code, Cursor, Aider.

Rapid-MLX has 3.6k stars on GitHub. It has been forked 406 times. Rapid-MLX is written mainly in Python. It has been in active development since 2026. Its main topics are apple-silicon, claude-code, cursor, deepseek.

Frequently asked questions

What is Rapid-MLX?

The fastest local AI engine for Apple Silicon. 4.2x faster than Ollama, 0.08s cached TTFT, 100% tool calling. 17 tool parsers, prompt cache, reasoning separation, cloud routing. Drop-in OpenAI replacement. Works with Claude Code, Cursor, Aider.

Is Rapid-MLX open source?

Rapid-MLX is an open-source project.

Is Rapid-MLX free?

Yes. Rapid-MLX is free and open source — you can use, modify and self-host it.

What language is Rapid-MLX written in?

Rapid-MLX is written mainly in Python.

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