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brew

Install langgraph-cli with Homebrew, Nix

Command-line interface for deploying apps to the LangGraph platform. Version 0.4.30 via Homebrew; verified 2026-06-21.

install

Additional install commands

macOS

Homebrewverified · 100%
brew install langgraph-cli

local Homebrew formula metadata

Linux

Nixverified · 92%
nix profile install nixpkgs#langgraph-cli

nixpkgs package indexes · pkgs/by-name/la/langgraph-cli/package.nix · source: api.github.com

overview

Package summary

Command-line interface for deploying apps to the LangGraph platform

Commands and aliases

  • langgraph

history

Project history and usage

LangGraph CLI is the command-line tool for creating, developing, building, and running LangGraph applications and LangGraph API servers.

Project history

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.

Adoption history

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.

How it is used

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.

Why package nerds care

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.

Timeline

  • 2024: LangGraph became a prominent LangChain-family project for stateful agent workflows.
  • 2024: `langgraph-cli` appeared as a Python package for interacting with LangGraph API projects.
  • 2025-2026: The CLI docs describe Python and JavaScript command variants for build, deploy, up, and Dockerfile workflows.

Related projects

  • Related projects include LangGraph, LangChain, LangSmith, LangGraph.js, and the LangGraph SDK packages used by the CLI.

security posture

No protected-tool coverage found yet

No matching local secret-handling manifest was found for langgraph-cli. Nucleus package metadata is still published here so future coverage has a stable package URL.

Install behavior

  • No Homebrew post-install hook is recorded in formula metadata.
  • Homebrew bottle metadata is available for 6 platform targets.
  • Installs with 4 runtime dependencies.
  • Build metadata lists 1 build dependencies.

Recommended review

Before unattended agent use, check whether the tool reads plaintext credentials, writes remote state, publishes artifacts, or shells out to plugins.

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
langgraph.json

Credential files

Credential-bearing paths to review before unattended agent runs.

Unix
.env

executables

Installed executables

CommandKindExposureNote
langgraphcliglobal executable

freshness

Version and freshness

These signals separate page generation age, package-manager activity, and upstream release comparison. Version lag is warned only when an evidence URL and comparable versions are present.

page generated2026-07-08
manager version0.4.30
manager updated2026-06-21
local dataok
upstreamnot checked
latest detectednot detected

https://github.com/langchain-ai/langgraph

install metadata

Package metadata

Package keybrew:langgraph-cli
Version0.4.30
Package managerHomebrew
Package manager pagehttps://formulae.brew.sh/formula/langgraph-cli
Homepagehttps://www.github.com/langchain-ai/langgraph
Repositoryhttps://github.com/langchain-ai/langgraph
Upstream docshttps://docs.langchain.com/langgraph-platform/langgraph-cli
LicenseMIT
Source archivehttps://files.pythonhosted.org/packages/f0/27/4b6a0f00c804f0b0831f741c0607b46a4cbddff14d1eab6bbd4ce5820837/langgraph_cli-0.4.30.tar.gz
Last updated2026-06-21T10:47:28Z
Pulseupdated
Dependenciescertifi, libyaml, pydantic, python@3.14
Build dependenciesrust
Bottleavailable (on arm64_linux, arm64_sequoia, arm64_sonoma, arm64_tahoe, sonoma, x86_64_linux)
Homebrew post-installnot defined
Servicenone declared

registry facts

Source database details

Source DatabaseHomebrew formula API
Taphomebrew/core
Full Namelanggraph-cli
Version Scheme0
Revision2
Bottle Stable Root URLhttps://ghcr.io/v2/homebrew/core
Deprecatedno
Disabledno
Keg Onlyno
URL Keys
  • stable

source database matches

Other package-manager records

Matches are pulled from external package-manager indexes and kept separate from local Automic Vault package links.

Nix95%

langgraph-cli

nix profile install nixpkgs#langgraph-cli
  • normalized package name match
  • Matched by: Langgraph Cli
nixpkgs package indexes · api.github.com · nixpkgs package indexes: pkgs/by-name/la/langgraph-cli/package.nix from https://api.github.com/repos/NixOS/nixpkgs/git/trees/master?recursive=1

source trail

Generated from repository data

This page is generated by av-web from the private package SQLite artifact built by scripts/generate-pkg-sqlite.py.

Used sources

  • 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
  • external package-manager database matches
  • package relationship graph
  • package version freshness
  • package-page enrichment