No red flags found in any of the 11 categories — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →
by raullenchai · Claude Skill · ★ 3.5k
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is Rapid-MLX safe to install? View the security audit →
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 | 3,509 |
| Forks | 401 |
| Language | Python |
| Category | Claude Skill |
| Quality Score | 67.262934157063/100 |
| Open Issues | 53 |
| Last Updated | 2026-08-19 |
| Created | 2026-02-25 |
| Platforms | claude-code, python |
| Est. Tokens | ~22k |
These tools work well together with Rapid-MLX for enhanced workflows:
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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.
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 3.5k stars and 401 forks, indicating an active community.
The top alternatives to Rapid-MLX on Agent Skills Hub include mlx-serve, vllm-mlx, claude-code-local. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.