Rapid-MLX

raullenchai/Rapid-MLX

OpenAI-compatible LLM inference server for Apple Silicon using MLX. 2-4x faster than Ollama with tool calling and prompt caching

Python No licence declared

View on GitHub → Find it in the atlas

Install

uv tool install rapid-mlx@latest

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Platform support

Derived from the project's own README, install route, CI configuration and release assets — not from running it.
PlatformRuns hereOn what evidence
WindowsNoNo evidence of support anywhere in the project.
WSL2NoNo evidence of support anywhere in the project.
macOSYesStated in the project's own README, install route, CI config or release assets.
LinuxNoNo evidence of support anywhere in the project.
DockerNoNo evidence of support anywhere in the project.

Where it came from

Named by 1 of the 39 lists the atlas merges.

  • LLMOps (tensorchord)

How it is classified

One topic, 4 harnesses. Each link is a prerendered page of everything else in that slice.

Harnesses & Runtime InfraClaude CodeClaude / AnthropicCodex / OpenAILocal / Ollama

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