# 使用 Homebrew, scoop 安装 argo 查看 argo 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:argo ``` ## 代理安全回答 argo controls Argo workflows and cluster-executed jobs. - **凭据访问:** Reads kubeconfig, Argo tokens, workflow parameters, and secret references. - **远程变更:** Can submit, stop, delete, and retry workflows in clusters. - **发布/制品风险:** Can trigger jobs that build, deploy, or process artifacts. - **推荐控制:** Gate submit, delete, retry, and token-backed workflow commands. - **代理使用指南:** Allow workflow status reads; require approval for submissions and destructive operations. 其他安装命令: ### macOS - Homebrew (100%): ```sh brew install argo ``` 证据: local Homebrew formula metadata ### Windows - Scoop (92%): ```sh scoop install main/argo ``` 证据: Scoop official bucket manifest trees: bucket/argo.json from https://api.github.com/repos/ScoopInstaller/Main/git/trees/master?recursive=1 ## 软件包事实 - **软件包键:** brew:argo - **软件包管理器:** Homebrew - **版本:** 4.0.8 - **来源摘要:** Get stuff done with container-native workflows for Kubernetes - **主页:** - **仓库:** - **最后更新:** 2026-07-22T12:03:14Z - **已生成:** 2026-08-03T19:37:03+00:00 ## 可执行文件 - argo (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: 4.0.8 ## 项目历史与用法 Argo Workflows is the Argo project's Kubernetes-native workflow engine. The project implements workflows as Kubernetes custom resources, models work as container steps or DAG tasks, and ships the `argo` CLI for submitting, linting, watching, and managing workflow objects. ### 项目历史 The argo-workflows GitHub repository was created in August 2017. Over time it became one of the four main Argo subprojects alongside Argo CD, Argo Events, and Argo Rollouts. Its README describes the broader Argo project as a collection of tools for getting work done with Kubernetes and identifies Argo Workflows as the container-native workflow engine. The project matured from a Kubernetes workflow controller into a CNCF graduated project with documented governance, maintainers, community meetings, release branches, client libraries, and security process. Official releases now span both the 3.x maintenance line and the 4.x line, with Homebrew packaging the `argo` binary from argoproj/argo-workflows tags. ### 采用历史 Argo Workflows' own README calls it the most popular workflow execution engine for Kubernetes and says about 200+ organizations officially use it. The official USERS.md list includes large technology, finance, cloud, media, and AI/data companies, and the Argo repository points each subproject to its adopter list. Its use cases page and README emphasize machine-learning pipelines, data and batch processing, infrastructure automation, CI/CD, and other Kubernetes jobs. The ecosystem around it is broad: the README names Argo Events, Hera, Katib, Kedro, Kubeflow Pipelines, Netflix Metaflow, Seldon, SQLFlow, and others as projects that use or rely on Argo Workflows. That adoption pattern made the CLI useful not only for direct workflow authors, but also for platform teams building higher-level ML, data, and batch-compute systems on Kubernetes. ### 使用方式 Users define Workflows or CronWorkflows as Kubernetes YAML and use the `argo` CLI to lint, submit, list, watch, retry, resubmit, suspend, resume, terminate, and inspect them. The workflow controller then schedules each step as a container, supports artifacts and parameters, handles DAG or step sequencing, and integrates with Kubernetes-native scheduling, service accounts, volumes, and secrets. The Homebrew formula builds the CLI from source and tests `argo version` plus `argo lint --kubeconfig`, reflecting the package-manager view of Argo as a local Kubernetes client tool. In actual clusters, the CLI is paired with the controller, CRDs, optional UI/server, archives, metrics, and SSO features documented by the project. ### 为什么软件包爱好者会关心 Argo Workflows is significant because it turned Kubernetes CRDs into a mainstream packaging and operations surface for workflow engines. A package install gives you a local `argo` binary, but the real artifact is a contract with cluster-side CRDs, controllers, Helm charts, and YAML manifests, making it a canonical example of cloud-native CLI packaging. For package maintainers, it also illustrates a common modern split: the Homebrew formula builds one CLI executable, while the upstream project simultaneously publishes controller images, manifests, docs, examples, SDKs, and a larger CNCF-governed ecosystem. ### 时间线 - 2017: argo-workflows GitHub repository created. - 2020: Argo Workflows user survey summary published by the Argo project. - 2021: Argo Workflows user survey results published by the Argo project. - 2022: v3.3.6 is the earliest GitHub release visible through the releases API snapshot used for this enrichment. - 2023: Argo Workflows and Events user survey results published. - 2026: v4.0.x and v3.7.x release lines are both active in GitHub releases. ### Related projects - The official Argo project groups Argo Workflows with Argo CD, Argo Events, and Argo Rollouts. The README also points to client libraries including Go, Java, Hera for Python, and Juno for TypeScript. ### 来源 - - - - - - ## 安全说明 infrastructure mutation or orchestration signal. - **Geiger 风险:** orange / 中 - infrastructure mutation or orchestration signal ## 其他软件包管理器记录 - Scoop - main/argo: normalized package name match | Scoop official bucket manifest trees: bucket/argo.json from https://api.github.com/repos/ScoopInstaller/Main/git/trees/master?recursive=1 ## Combined YAML source View the package source record on GitHub. [combined/argo.yml](https://github.com/mxcl/pkgdb/blob/main/combined/argo.yml) ## 来源 - 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 - curated agent safety answer