macOS
brew install langgraph-clilocal Homebrew formula metadata
brew / rang 2706
Consultez les chemins d'installation, exécutables, métadonnées et notes de sécurité de langgraph-cli pour les workflows d'agents IA.
installation
brew install langgraph-clilocal Homebrew formula metadata
nix profile install nixpkgs#langgraph-clinixpkgs package indexes · pkgs/by-name/la/langgraph-cli/package.nix · Source: api.github.com
aperçu
Command-line interface for deploying apps to the LangGraph platform
historique
LangGraph CLI is the command-line tool for creating, developing, building, and running LangGraph applications and LangGraph API servers.
LangGraph grew out of the LangChain ecosystem as lower-level infrastructure for stateful, long-running agent workflows. The LangGraph repository describes the core framework as orchestration infrastructure for durable execution, human-in-the-loop control, memory, debugging, and production deployment.
The CLI package is housed in the LangGraph monorepo under `libs/cli` and is published as the `langgraph-cli` Python package. Its project metadata describes it as a CLI for interacting with the LangGraph API, with a `langgraph` console script and dependencies for HTTP access, dotenv loading, and LangGraph SDK integration.
The CLI follows LangGraph's broader adoption among AI-agent developers: it packages local development, Docker image generation, and deployment commands behind one command name. The upstream README cites companies such as Klarna, Replit, and Elastic as LangGraph users, which made the CLI part of the operational tooling around a visible agent framework.
The docs define `langgraph.json` as the default configuration file for declaring dependencies, graphs, and environment variables. Common commands include local development, image build, deployment, starting services with Docker Compose, and generating Dockerfiles.
For package nerds, LangGraph CLI is interesting because it is not just a wrapper around a library: it is the packaging boundary between agent source trees, local service orchestration, Docker images, and hosted LangGraph deployments. Its Homebrew formula also reflects a Python AI tool being distributed as a first-class command-line utility.
posture de sécurité
Aucun manifest local de gestion des secrets correspondant n'a été trouvé pour langgraph-cli. Les métadonnées de paquet Nucleus restent publiées ici afin que la couverture future dispose d'une URL stable.
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.
local files
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.
Config paths the tool may read or write during local use.
langgraph.jsonCredential-bearing paths to review before unattended agent runs.
.envexécutables
| Commande | Type | Exposition | Note |
|---|---|---|---|
langgraph | exécutable | exécutable indexé | Découvert depuis l'index local des exécutables. |
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.
métadonnées d'installation
| Clé du paquet | brew:langgraph-cli |
|---|---|
| Version | 0.4.31 |
| Gestionnaire de paquets | Homebrew |
| Page d'accueil | https://www.github.com/langchain-ai/langgraph |
| Dernière mise à jour | 2026-07-12T00:18:23Z |
| Pulse | updated |
| Bouteille | non enregistré |
| Service | aucun déclaré |
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.
langgraph-cli
nix profile install nixpkgs#langgraph-clipiste 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.