by raullenchai · Claude 技能 · ★ 2.9k
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 (
| Stars | 2,865 |
| Forks | 342 |
| Language | Python |
| Category | Claude 技能 |
| License | Apache-2.0 |
| Quality Score | 53.13/100 |
| Open Issues | 47 |
| Last Updated | 2026-06-17 |
| Created | 2026-02-25 |
| Platforms | claude-code, python |
| Est. Tokens | ~22k |
These tools work well together with Rapid-MLX for enhanced workflows:
Explore other popular claude 技能 tools:
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 技能 with 2.9k GitHub stars.
Rapid-MLX is primarily written in Python. It covers topics such as apple-silicon, claude-code, cursor.
You can find installation instructions and usage details in the Rapid-MLX GitHub repository at github.com/raullenchai/Rapid-MLX. The project has 2.9k stars and 342 forks, indicating an active community.
Rapid-MLX is released under the Apache-2.0 license, making it free to use and modify according to the license terms.