# brev を Homebrew でインストール

brev 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:brev
```

追加のインストールコマンド:

### macOS

- Homebrew (100%):

```sh
brew install brev
```

  証拠: local Homebrew formula metadata

## パッケージ情報

- **パッケージキー:** brew:brev
- **パッケージマネージャ:** Homebrew
- **バージョン:** 0.6.332
- **ソース概要:** CLI tool for managing workspaces provided by brev.dev
- **ホームページ:** <https://developer.nvidia.com/brev>
- **リポジトリ:** <https://github.com/brevdev/brev-cli>
- **最終更新:** 2026-07-29T03:00:11Z
- **生成日時:** 2026-08-03T19:37:03+00:00

## 実行可能ファイル

- brev (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: 0.6.332
## プロジェクトの歴史と使われ方

Brev CLI is the terminal client for NVIDIA Brev, a service for launching and managing GPU-backed development instances. Its package history sits at the intersection of cloud workspaces, remote SSH development, and AI/ML infrastructure packaging.

### プロジェクトの歴史

The public brev-cli repository was created in October 2021 and published v0.1.0 later that month. The project has kept a rapid release cadence, with GitHub releases continuing through v0.6.327 in June 2026.

NVIDIA's Brev documentation describes the product as instant access to GPU instances preconfigured for AI and ML development across multiple cloud providers. The CLI README positions the tool around logging in, creating GPU instances, listing instances, SSH-style workflows, and integrations for AI coding agents.

### 採用の歴史

Brev's adoption is tied less to generic CLI popularity and more to users who need short-lived GPU development environments. Official installation paths include Homebrew on macOS, a shell installer on Linux and WSL, and conda-forge via Pixi, while Homebrew analytics showed several hundred installs over the prior year at lookup time.

### 使われ方

Typical usage starts with `brev login`, then `brev create` to launch a named GPU instance and `brev ls` to inspect instances. The docs also emphasize VS Code Remote SSH, Jupyter, port forwarding, Docker workloads, GPU type selection, and agent-oriented commands.

### パッケージ好きにとっての重要性

Brev is significant as a modern example of a CLI wrapper around cloud GPU lifecycle management. For package maintainers, it shows the 2020s pattern of developer tools shipping through Homebrew, curl installers, and conda-style channels while primarily orchestrating remote infrastructure rather than local binaries.

### タイムライン

- 2021: brev-cli repository created and v0.1.0 released.
- 2021: v0.4.x releases followed within the first public release year.
- 2026: NVIDIA Brev docs describe GPU instances, launchables, CLI workflows, and AI/ML development use cases.
- 2026: v0.6.327 published and Homebrew stable version reported as 0.6.327.

### Related projects

- NVIDIA Brev is the hosted service managed by the CLI.
- VS Code Remote SSH, JupyterLab, Docker, CUDA, Python, and NVIDIA NIM workflows are common adjacent tools in the official docs.
- conda-forge and Pixi are documented as alternative installation channels.

### ソース

- <https://developer.nvidia.com/brev>
- <https://docs.nvidia.com/brev/latest/>
- <https://formulae.brew.sh/api/formula/brev.json>
- <https://github.com/brevdev/brev-cli>
- <https://raw.githubusercontent.com/brevdev/brev-cli/main/README.md>


## セキュリティノート

brev 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。



## Configuration and credential file locations

These source-backed paths show where this package keeps local settings or durable credentials. Automic Vault can use them as review targets for secret scanning, migration, and command approval.


## Configuration files

- Unix: ~/.brev/ssh_config

## Credential files

- Unix: ~/.brev/credentials.json

## Combined YAML source

View the package source record on GitHub. [combined/brev.yml](https://github.com/mxcl/pkgdb/blob/main/combined/brev.yml)


## ソース

- pkg.so package database
- Geiger risk classifier
- curated configuration and credential file locations
- curated package history
- pkgdb category and tag curation
- cross-ecosystem install command graph
