Rapid-MLX

About Rapid-MLX

Rapid-MLX Run AI on your Mac. Faster than anything else. Run local AI models on your Mac — no cloud, no API costs. Works with Cursor, Claude Code, and any OpenAI-compatible app. pip install → serve Gemma 4 26B → chat + tool calling → works with PydanticAI, LangChain, Aider, and more. Speed (

apple-silicon claude-code cursor deepseek fastapi hacktoberfest inference llm local-llm m1

Quick Facts

Stars	3,532
Forks	401
Language	Python
Category	Claude Skill
Quality Score	67.262934157063/100
Open Issues	42
Last Updated	2026-08-23
Created	2026-02-25
Platforms	claude-code, python
Est. Tokens	~22k

Compatible Skills

These tools work well together with Rapid-MLX for enhanced workflows:

vllm-mlx — semantic(0.38)+complementary+shared_fw(openai)+rare_topics+same_lang+similar_pop+shared_platform (85%)
ovo-local-llm — semantic(0.48)+complementary+shared_fw(ollama,openai)+rare_topics+shared_platform (71%)
mlx-omni-server — semantic(0.37)+complementary+shared_fw(openai)+rare_topics+same_lang+similar_pop+shared_platform (71%)
openyak — semantic(0.20)+complementary+shared_fw(ollama,openai)+same_lang+similar_pop+shared_platform (68%)
mlx-serve — semantic(0.54)+complementary+shared_fw(openai)+rare_topics+shared_platform (65%)

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Frequently Asked Questions

What is Rapid-MLX?

Rapid-MLX is 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 replace. It is categorized as a Claude Skill with 3.5k GitHub stars.

What programming language is Rapid-MLX written in?

Rapid-MLX is primarily written in Python. It covers topics such as apple-silicon, claude-code, cursor.

How do I install or use Rapid-MLX?

You can find installation instructions and usage details in the Rapid-MLX GitHub repository at github.com/raullenchai/Rapid-MLX. The project has 3.5k stars and 401 forks, indicating an active community.

View on GitHub → Browse Claude Skill tools