凭据访问
Reads kubeconfig, Argo tokens, workflow parameters, and secret references.
代理安全
argo controls Argo workflows and cluster-executed jobs.
Reads kubeconfig, Argo tokens, workflow parameters, and secret references.
Can submit, stop, delete, and retry workflows in clusters.
Can trigger jobs that build, deploy, or process artifacts.
Gate submit, delete, retry, and token-backed workflow commands.
Allow workflow status reads; require approval for submissions and destructive operations.
安装
brew install argolocal Homebrew formula metadata
scoop install main/argoScoop official bucket manifest trees · bucket/argo.json · 来源: api.github.com
概览
Get stuff done with container-native workflows for Kubernetes
历史
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.
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.
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.
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.
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.
安全态势
infrastructure mutation or orchestration signal.
orange 风险 · 中 置信度 · infrastructure
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。
可执行文件
| 命令 | 类型 | 暴露范围 | 备注 |
|---|---|---|---|
argo | cli | 全局可执行文件 |
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。
https://github.com/argoproj/argo-workflows
安装元数据
| 软件包键 | brew:argo |
|---|---|
| 版本 | 4.0.8 |
| 软件包管理器 | Homebrew |
| 软件包管理器页面 | https://formulae.brew.sh/formula/argo |
| 主页 | https://argoproj.io |
| 仓库 | https://github.com/argoproj/argo-workflows |
| 上游文档 | https://argo-workflows.readthedocs.io/ |
| 许可证 | Apache-2.0 |
| 源码归档 | https://github.com/argoproj/argo-workflows.git |
| 最后更新 | 2026-07-22T12:03:14Z |
| Pulse | updated |
| 构建依赖 | go, node, yarn |
| Bottle | 可用 (于 arm64_linux, arm64_sequoia, arm64_sonoma, arm64_tahoe, sonoma, x86_64_linux) |
| Homebrew post-install | 未定义 |
| 服务 | 未声明 |
注册表事实
| Source Database | Homebrew formula API |
|---|---|
| Tap | homebrew/core |
| Full Name | argo |
| Version Scheme | 0 |
| Revision | 0 |
| Head Version | HEAD |
| Bottle Stable Root URL | https://ghcr.io/v2/homebrew/core |
| Deprecated | no |
| Disabled | no |
| Keg Only | no |
| URL Keys |
|
源数据库匹配
匹配项来自外部软件包管理器索引,并与本地 Automic Vault 软件包链接分开显示。
main/argo
scoop install main/argo来源线索
此页面由 av-web 从 scripts/generate-pkg-sqlite.py 生成的私有软件包 SQLite 工件提供。
View the package source record on GitHub.