raullenchai/Rapid-MLX
3.9kStar
430Fork
+16今日 Star
Python语言
Star 趋势
项目介绍与用途
「raullenchai/Rapid-MLX」是由 raullenchai 维护、主要使用 Python 开发的开源项目。Rapid-MLX is an open-source (Apache 2.0) OpenAI- and Anthropic-compatible LLM inference server for Apple Silicon, built on MLX, focused on reliable tool calling for coding agents. Up to 4× faster than Apple's MLX (mlx-lm) on the same weights。目前该项目在 GitHub 上累计获得 3.9k 个 Star、430 次 Fork（今日新增 16 Star）。如果你关注 Python 方向的开源生态，它值得收藏、学习与参考。
项目简介
Rapid-MLX is an open-source (Apache 2.0) OpenAI- and Anthropic-compatible LLM inference server for Apple Silicon, built on MLX, focused on reliable tool calling for coding agents. Up to 4× faster than Apple's MLX (mlx-lm) on the same weights.
相关项目
mattpocock/skillsSkills for Real Engineers. Straight from my .agents directory.
earthtojake/text-to-cadGive your agent CAD superpowers.
thedotmack/claude-memPersistent Context Across Sessions for Every Agent – Captures everything your agent does during sessions, compresses it with AI, and injects relevant context back into future sessions. Works with Claude Code, OpenClaw, Codex, Gemini, Hermes, Copilot, OpenCode + More
ayghri/i-have-adhdA skill to stop your coding agent from burying the answer. ADHD-friendly output.
morluto/reaReverse engineer anything with agents, from app behavior down to native binaries.
msitarzewski/agency-agentsA complete AI agency at your fingertips - From frontend wizards to Reddit community ninjas, from whimsy injectors to reality checkers. Each agent is a specialized expert with personality, processes, and proven deliverables.