# mlx を Homebrew, MacPorts でインストール 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:mlx ``` 追加のインストールコマンド: ### macOS - Homebrew (100%): ```sh brew install mlx ``` 証拠: local Homebrew formula metadata - MacPorts (94%): ```sh sudo port install mlx ``` 証拠: MacPorts ports tree: llm/mlx/Portfile from https://api.github.com/repos/macports/macports-ports/git/trees/master?recursive=1 ## パッケージ情報 - **パッケージキー:** brew:mlx - **パッケージマネージャ:** Homebrew - **バージョン:** 0.32.0 - **ソース概要:** Array framework for Apple silicon - **ホームページ:** - **リポジトリ:** - **最終更新:** 2026-07-08T14:26:04Z - **生成日時:** 2026-08-03T19:37:03+00:00 ## 実行可能ファイル - mlx.distributed_config (エイリアス) - mlx.launch (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: 0.32.0 ## プロジェクトの歴史と使われ方 MLX is Apple's open source array framework for machine learning on Apple silicon. The project is published under the ml-explore organization and is described by Apple and the upstream README as an array framework optimized for Apple silicon and its unified memory architecture. The MLX examples citation credits the initial software suite to Awni Hannun, Jagrit Digani, Angelos Katharopoulos, and Ronan Collobert, with a 2023 citation entry. ### プロジェクトの歴史 Technically, MLX sits in the NumPy, PyTorch, JAX, and ArrayFire family rather than being only a model runner. Its README emphasizes familiar NumPy-like APIs, C, C++, and Swift bindings, PyTorch-like higher-level neural-network and optimizer packages, composable transformations for automatic differentiation and vectorization, lazy computation, dynamic graph construction, CPU/GPU execution, and unified memory so arrays can be operated on across supported devices without explicit transfers. ### 使われ方 The framework quickly became the base layer for a cluster of Apple-silicon ML tools: MLX LM for language models, MLX examples for reference implementations across text, image, audio, video, and multimodal models, and community-converted model weights on Hugging Face. LM Studio also shipped an MLX engine for on-device LLM use on Apple-silicon Macs. In package managers, the `mlx` package is the foundation dependency; users install higher-level packages such as `mlx-lm` when they want complete model workflows. ### ソース - - - - - - ## セキュリティノート narrow executable package without higher-risk signals. - **Geiger リスク:** グリーン / 低 - narrow executable package without higher-risk signals ## 他のパッケージマネージャ記録 - MacPorts - mlx: normalized package name match | MacPorts ports tree: llm/mlx/Portfile from https://api.github.com/repos/macports/macports-ports/git/trees/master?recursive=1 ## Combined YAML source View the package source record on GitHub. [combined/mlx.yml](https://github.com/mxcl/pkgdb/blob/main/combined/mlx.yml) ## ソース - pkg.so package database - Geiger risk classifier - curated package history - pkgdb category and tag curation - external package-manager database matches - cross-ecosystem install command graph