# 使用 Homebrew Cask 安装 coterm

查看 coterm 的安装路径、可执行文件、元数据以及面向 AI 代理工作流的安全说明。

## 安装

```sh
sudo av install cask:coterm
```

其他安装命令:

### macOS

- Homebrew Cask (100%):

```sh
brew install --cask coterm
```

  证据: local Homebrew cask metadata

## 软件包事实

- **软件包键:** cask:coterm
- **软件包管理器:** Homebrew Cask
- **软件包管理器页面:** <https://formulae.brew.sh/cask/coterm>
- **版本:** 1.0.0
- **来源摘要:** CLI tool by Datadog for terminal recording and approvals
- **主页:** <https://docs.datadoghq.com/coterm/>
- **上游文档:** <https://docs.datadoghq.com/coterm/>
- **源码归档:** <https://coterm.datadoghq.com/coterm/1.0.0/29eab36/macos-arm64/ddcoterm>
- **已生成:** 2026-07-25T07:20:51+00:00

## 可执行文件

- ddcoterm (二进制)
- ddcoterm (别名)

## 安装行为

- post-install 钩子: 未定义
- Bottle: 不可用

## 版本和新鲜度

- 页面生成时间: 2026-07-25
- 管理器版本: 1.0.0
- 本地数据: OK
- 上游仓库: https://docs.datadoghq.com/coterm/
- 信息: No package-manager update timestamp was available.
- 信息: Release/tag comparison is only available for GitHub repositories.
## 项目历史与用法

coterm is Datadog's CoTerm command-line utility for recording terminal sessions and adding validation or approval checks around terminal commands.

### 项目历史

Datadog announced CoTerm in preview on 2024-06-26 as a tool for safer command-line workflows during operations and incident response. Datadog's documentation describes CoTerm as a CLI utility that records terminal sessions, analyzes recordings in Datadog, and adds a validation layer to terminal commands.

The Homebrew cask metadata records coterm version 1.0.0 and the vendor binary name ddcoterm. The vendor-hosted macOS arm64 binary for that version reported a Last-Modified timestamp of 2025-03-13 when checked during this enrichment run.

### 采用历史

Public adoption evidence is thin and mostly vendor-controlled. Datadog's announcement pointed users to macOS and Linux installation paths, while Homebrew cask distribution makes the macOS CLI available through a package-manager workflow.

### 使用方式

Datadog documents CoTerm for recording interactive terminal sessions, reviewing terminal sessions as replays, events, or logs, warning before risky commands, requiring approvals through Datadog Case Management for selected commands, and redacting sensitive data through Datadog Sensitive Data Scanner.

### 为什么软件包爱好者会关心

coterm is package-nerd interesting as a vendor CLI cask: it packages an operations and security workflow whose behavior depends on Datadog services, policy rules, and a local command shim rather than on a public source tree.

### 时间线

- 2024: Datadog announces CoTerm preview on 2024-06-26.
- 2025: Datadog updates the CoTerm announcement on 2025-04-03.
- 2025: The version 1.0.0 macOS arm64 binary reports Last-Modified 2025-03-13.

### Related projects

- CoTerm integrates with Datadog terminal session review, Datadog Case Management, Log Explorer, Event Explorer, and Sensitive Data Scanner.

### 来源

- <https://coterm.datadoghq.com/coterm/1.0.0/29eab36/macos-arm64/ddcoterm>
- <https://docs.datadoghq.com/coterm.md>
- <https://docs.datadoghq.com/coterm/>
- <https://formulae.brew.sh/api/cask/coterm.json>
- <https://www.datadoghq.com/blog/introducing-coterm/>


## 安全说明

没有找到 coterm 的匹配本地密钥处理 manifest。Nucleus 软件包元数据仍在此发布，以便未来覆盖拥有稳定的软件包 URL。


## 源数据库详情

- **Source Database:** Homebrew cask API
- **Tap:** homebrew/cask
- **Full Token:** coterm
- **Names:** coterm
- **Artifacts:** Binary: 1, Target: 1, Zap: 1
- **Deprecated:** no
- **Disabled:** no


## 相关链接

- [Homebrew Cask packages](https://www.automicvault.com/zh-hans/pkg/homebrew-cask-packages/) - Generated from Homebrew Cask package-manager metadata.
- [Homebrew Cask binaries](https://www.automicvault.com/zh-hans/pkg/homebrew-cask-binaries/) - Cask artifact metadata includes a binary.

## Combined YAML source

View the package source record on GitHub. [combined/coterm.yml](https://github.com/automic-vault/db/blob/main/combined/coterm.yml)


## 来源

- Nucleus package database
- package-page enrichment
- curated package history
- package version freshness
- av.db category and tag curation
- package relationship graph
- cross-ecosystem install command graph
