Accès aux identifiants
Reads kubeconfig, Argo tokens, workflow parameters, and secret references.
brew
Consultez les chemins d'installation, exécutables, métadonnées et notes de sécurité de argo pour les workflows d'agents IA.
sécurité des agents
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.
installation
brew install argolocal Homebrew formula metadata
scoop install main/argoScoop official bucket manifest trees · bucket/argo.json · Source: api.github.com
aperçu
Get stuff done with container-native workflows for Kubernetes
historique
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.
posture de sécurité
infrastructure mutation or orchestration signal.
risque orange · confiance moyen · infrastructure
Avant une utilisation sans surveillance par un agent, vérifiez si l'outil lit des identifiants en clair, écrit un état distant, publie des artefacts ou lance des plugins.
exécutables
| Commande | Type | Exposition | Note |
|---|---|---|---|
argo | cli | exécutable global |
fraîcheur
Ces signaux séparent l'âge de génération de la page, l'activité du gestionnaire de paquets et la comparaison avec les versions amont. Un retard de version n'est signalé que lorsqu'une URL de preuve et des versions comparables sont présentes.
https://github.com/argoproj/argo-workflows
métadonnées d'installation
| Clé du paquet | brew:argo |
|---|---|
| Version | 4.0.8 |
| Gestionnaire de paquets | Homebrew |
| Page du gestionnaire de paquets | https://formulae.brew.sh/formula/argo |
| Page d'accueil | https://argoproj.io |
| Dépôt | https://github.com/argoproj/argo-workflows |
| Docs amont | https://argo-workflows.readthedocs.io/ |
| Licence | Apache-2.0 |
| Archive source | https://github.com/argoproj/argo-workflows.git |
| Dernière mise à jour | 2026-07-22T12:03:14Z |
| Pulse | updated |
| Dépendances de compilation | go, node, yarn |
| Bouteille | disponible (sur arm64_linux, arm64_sequoia, arm64_sonoma, arm64_tahoe, sonoma, x86_64_linux) |
| post-install Homebrew | non défini |
| Service | aucun déclaré |
faits du registre
| 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 |
|
correspondances dans les bases sources
Les correspondances proviennent d’index externes de gestionnaires de paquets et restent séparées des liens de paquets Automic Vault locaux.
main/argo
scoop install main/argopiste source
Cette page est servie par av-web depuis l'artéfact SQLite privé des paquets généré par scripts/generate-pkg-sqlite.py.
View the package source record on GitHub.