# 使用 Homebrew 安装 codeburn

查看 codeburn 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 brew:codeburn
```

其他安装命令:

### macOS

- Homebrew (100%):

```sh
brew install codeburn
```

  证据: local Homebrew formula metadata

## 软件包事实

- **软件包键:** brew:codeburn
- **软件包管理器:** Homebrew
- **版本:** 0.9.19
- **来源摘要:** See where your AI coding tokens go - by task, tool, model, and project
- **主页:** <https://codeburn.app/>
- **最后更新:** 2026-07-21T19:01:49Z
- **已生成:** 2026-08-03T19:37:03+00:00

## 可执行文件

- codeburn (别名)

## 安装行为

- Bottle: 不可用

## 版本和新鲜度

- 页面生成时间: 2026-08-03
- 管理器版本: 0.9.19
## 项目历史与用法

CodeBurn is a local-first CLI, TUI, web dashboard, and macOS menubar tool for analyzing token usage and cost across AI coding tools. It reads session files already written on disk and reports spend by tool, model, task, and project.

### 项目历史

The GitHub repository was created on 2026-04-13. Its README describes the project as a free, open-source, local tool for tracking AI coding token usage and cost across Claude Code, Cursor, Codex, Gemini, Grok, and other tools.

Early releases moved quickly in April 2026, with the release metadata showing v0.7.0 adding `codeburn optimize` and adjacent macOS menubar releases appearing the same week.

### 采用历史

The README documents `npx codeburn`, global npm installation, Bun/Deno-style runners, and `brew install codeburn` on macOS. The input package facts currently list Homebrew packaging.

Because CodeBurn targets local files created by other AI coding tools, its adoption story is tied to the spread of agentic coding CLIs and editors rather than to one language ecosystem.

### 使用方式

Users run `npx codeburn` or `codeburn` to open an interactive dashboard, `codeburn overview` for reports, `codeburn optimize` for waste findings, `codeburn compare` for model comparisons, `codeburn yield` to correlate sessions with git commits, and `codeburn web` for a localhost dashboard.

The README stresses local operation: no wrapper, proxy, or API keys, with pricing sourced from LiteLLM and refreshed daily.

### 为什么软件包爱好者会关心

CodeBurn is notable as packaging infrastructure for the AI-coding era: it treats token logs and session files like operational telemetry and ships through npm-style runners and Homebrew. For package nerds, the interesting part is how a Node CLI, local dashboard, native menubar app, and Homebrew formula package one local observability workflow.

### 时间线

- 2026-04-13: GitHub repository created.
- 2026-04-16: v0.7.0 release metadata names `codeburn optimize`.
- 2026-04-18 to 2026-04-19: Multiple macOS menubar releases published.
- 2026: README documents npm, npx, Bun/Deno-style runners, and Homebrew installation.

### Related projects

- The README names Claude Code, Cursor, Codex, Gemini, Grok, and LiteLLM in the supported-tooling story. The macOS menubar app lives in the same repository under `mac/` according to the README.

### 来源

- <https://github.com/getagentseal/codeburn>


## 安全说明

没有找到 codeburn 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。



## Combined YAML source

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


## 来源

- pkg.so package database
- curated package history
- pkgdb category and tag curation
- cross-ecosystem install command graph