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brew

使用 Homebrew 安装 dagu

查看 dagu 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

其他安装命令

macOS

Homebrew已验证 · 100%
brew install dagu

local Homebrew formula metadata

概览

软件包摘要

Lightweight and powerful workflow engine

历史

项目历史与用法

Dagu is a local-first workflow engine with a Web UI and a declarative YAML workflow format. It is packaged as a self-contained CLI/server tool for people who want scheduled DAGs, retries, logs, approvals, and automation without running a database-backed orchestration stack.

项目历史

The official repository metadata records the Dagu repository as created in April 2022. Current official docs describe Dagu as local-first workflow orchestration that runs anywhere, with declarative YAML, a single binary, and air-gapped readiness.

采用历史

Dagu's adoption story is aimed at small teams and operators moving beyond cron without adopting a heavyweight Airflow-style deployment. The official README explicitly compares the single-binary Dagu model with traditional orchestrators that require multiple services such as a web server, scheduler, workers, PostgreSQL, Redis or RabbitMQ, and a Python runtime.

使用方式

Users define workflows as YAML DAG files, run them with the dagu CLI, and operate the scheduler, executor, and web UI with commands such as dagu start-all. The official configuration docs define ~/.config/dagu/config.yaml as the default process-level configuration file and document default DAG, log, and data paths.

为什么软件包爱好者会关心

Dagu matters to package nerds because it compresses a workflow scheduler, web UI, local file-backed state, and DAG runner into a single installable tool. It fills the package-manager niche between cron-plus-shell-scripts and a full distributed orchestration platform.

时间线

  • 2022: Official Dagu GitHub repository is created.
  • 2025: v1.22.0 release is published in the current official repository.
  • 2026: Official docs present Dagu as local-first orchestration with declarative YAML and a single-binary deployment model.

Related projects

  • Official materials position Dagu as an alternative to Airflow and Cron and document actions for shell commands, Docker containers, Kubernetes Jobs, SSH, HTTP, SQL, and AI-agent harnesses.

安全态势

风险级别:orange

formula declares a Homebrew service.

风险分类器

orange 风险 · 中 置信度 · infrastructure

原因

  • formula declares a Homebrew service

信号

  • metadata:service

安装行为

  • formula 元数据中未记录 Homebrew post-install 钩子。
  • formula 元数据声明了服务或守护进程块。
  • Homebrew bottle 元数据适用于 6 个平台目标。
  • 构建元数据列出 3 个构建依赖。

建议审查

在无人值守的代理使用前,请检查该工具是否读取明文凭据、写入远程状态、发布制品或调用插件。

local files

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

Config paths the tool may read or write during local use.

Unix
~/.config/dagu/config.yaml~/.config/dagu/dags/*.yaml

可执行文件

已安装的可执行文件

命令类型暴露范围备注
dagucli全局可执行文件

新鲜度

版本和新鲜度

这些信号区分页生成时间、软件包管理器活动和上游发布比较。只有存在证据 URL 和可比较版本时,才会提示版本落后。

页面生成时间2026-07-08
管理器版本2.10.1
管理器更新时间2026-07-06
本地数据OK
上游当前
检测到的最新版本v2.10.1

https://github.com/dagucloud/dagu

  • OK没有生成新鲜度警告。

安装元数据

软件包元数据

软件包键brew:dagu
版本2.10.1
软件包管理器Homebrew
软件包管理器页面https://formulae.brew.sh/formula/dagu
主页https://dagu.sh
仓库https://github.com/dagucloud/dagu
上游文档https://docs.dagu.sh/
许可证GPL-3.0-only
源码归档https://github.com/dagucloud/dagu/archive/refs/tags/v2.10.1.tar.gz
最后更新2026-07-06T21:38:25Z
Pulseupdated
构建依赖go, node, pnpm
Bottle可用 (于 arm64_linux, arm64_sequoia, arm64_sonoma, arm64_tahoe, sonoma, x86_64_linux)
Homebrew post-install未定义
服务declared

注册表事实

源数据库详情

Source DatabaseHomebrew formula API
Taphomebrew/core
Full Namedagu
Version Scheme0
Revision0
Head VersionHEAD
Bottle Stable Root URLhttps://ghcr.io/v2/homebrew/core
Deprecatedno
Disabledno
Keg Onlyno
URL Keys
  • head
  • stable

来源线索

由仓库数据生成

此页面由 av-webscripts/generate-pkg-sqlite.py 生成的私有软件包 SQLite 工件提供。

使用的来源

  • Geiger risk classifier
  • Nucleus package database
  • av.db category and tag curation
  • cross-ecosystem install command graph
  • curated configuration and credential file locations
  • curated package history
  • package relationship graph
  • package version freshness
  • package-page enrichment