# rapid-mlx を Homebrew でインストール rapid-mlx のインストール経路、実行ファイル、メタデータ、AI エージェント向けセキュリティノートを確認します。 ## インストール ```sh sudo av install brew:rapid-mlx ``` 追加のインストールコマンド: ### macOS - Homebrew (100%): ```sh brew install rapid-mlx ``` 証拠: local Homebrew formula metadata ## パッケージ情報 - **パッケージキー:** brew:rapid-mlx - **パッケージマネージャ:** Homebrew - **バージョン:** 0.11.9 - **ソース概要:** Fast local AI engine for Apple Silicon with an OpenAI-compatible API - **ホームページ:** - **最終更新:** 2026-08-03T09:11:37Z - **生成日時:** 2026-08-03T19:37:03+00:00 ## 実行可能ファイル - rapid-mlx (エイリアス) - rapid-mlx-bench (エイリアス) - rapid-mlx-chat (エイリアス) - rmlx (エイリアス) - vllm-mlx (エイリアス) - vllm-mlx-bench (エイリアス) - vllm-mlx-chat (エイリアス) ## インストール挙動 - Bottle: 利用不可 ## バージョンと鮮度 - ページ生成日: 2026-08-03 - マネージャ版: 0.11.9 ## プロジェクトの歴史と使われ方 Rapid-MLX is a local inference engine and OpenAI-compatible HTTP server built on Apple's MLX stack for Apple Silicon Macs. It packages model serving, interactive chat, benchmarking, model management, and agent/IDE integration behind the `rapid-mlx` CLI. ### プロジェクトの歴史 Development began in early 2026, with the official repository created in February and tagged releases available from March. The package was formerly exposed through `vllm-mlx` command names; those entry points remain as compatibility aliases while current documentation directs new users to `rapid-mlx`. ### 採用の歴史 Rapid-MLX developed a fast release cadence and first-class integrations for coding agents and Python frameworks. By the 0.10 series it was distributed from PyPI and Homebrew core, while its documentation described dozens of model families, an alias catalog, and reproducible community hardware benchmarks. ### 使われ方 A typical workflow is `rapid-mlx serve ` followed by pointing an OpenAI-compatible client at `http://localhost:8000/v1`. Companion commands provide a terminal chat REPL, downloads and cache management, diagnostics, benchmarks, and setup templates for tools such as Codex, Claude Code, Aider, and Cursor. ### パッケージ好きにとっての重要性 Rapid-MLX packages the Apple-Silicon-specific MLX ecosystem into a familiar server-and-CLI interface, reducing model selection to stable aliases and preserving compatibility with the broad OpenAI client ecosystem. Its Homebrew, pip, uv, and self-contained installer paths make local LLM serving accessible without maintaining a bespoke Python environment. ### タイムライン - 2026-02-25: Official GitHub repository created. - 2026-03-20: v0.3.0 published, the oldest retained GitHub release. - 2026: Command branding moved from vllm-mlx to rapid-mlx while compatibility entry points were retained. - 2026: Version 0.10.12 entered Homebrew core according to the official README. ### Related projects - Rapid-MLX builds on Apple MLX and MLX-LM concepts, consumes Hugging Face model repositories, offers vLLM-style flags, and acts as a local backend for OpenAI-compatible clients and coding agents. ### ソース - - - - ## セキュリティノート rapid-mlx に一致するローカルシークレット処理マニフェストは見つかりませんでした。将来の対応で安定したパッケージ URL を使えるよう、Nucleus パッケージメタデータはここに公開されています。 ## Combined YAML source View the package source record on GitHub. [combined/rapid-mlx.yml](https://github.com/mxcl/pkgdb/blob/main/combined/rapid-mlx.yml) ## ソース - pkg.so package database - curated package history - pkgdb category and tag curation - cross-ecosystem install command graph