Langgraph Cli

If you're building LangGraph applications, this handles the entire workflow from scaffolding to deployment. It covers the langgraph CLI commands you'll use daily: new for templates, dev for local development with hot reload, build and up for Docker workflows, and deploy for shipping to LangGraph Platform. The skill includes detailed flag references for each command and a complete langgraph.json configuration guide, which is helpful since that file controls everything from dependencies to graph definitions. Most useful when you're moving past notebooks and need to run LangGraph apps as actual services, whether locally or in production.

skills.sh installs: 9.7K
GitHub stars: 1.3K
last updated: Aug 21, 2026

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Install

$ npx -y skills add langchain-ai/langchain-skills --skill langgraph-cli --agent claude-code

Installs into .claude/skills of the current project.

Files

The `langgraph` CLI manages the full lifecycle of LangGraph applications — from scaffolding a new project to deploying it to LangGraph Platform (LangSmith Deployments).

Key commands:

langgraph new — Scaffold a project from a template
langgraph dev — Run locally with hot reload (no Docker)
langgraph build — Build a Docker image
langgraph up — Launch locally via Docker Compose
langgraph deploy — Ship to LangGraph Platform
langgraph dockerfile — Generate a Dockerfile

All commands (except new) read from a langgraph.json config file in the project root.

When to use

Use this skill when the user wants to:

Scaffold a new LangGraph project
Run a local development or production-like server
Build or deploy a LangGraph application
Understand or edit langgraph.json configuration
Manage LangSmith Deployments (list, delete, view logs)

Installation

# Python
pip install 'langgraph-cli[inmem]'   # includes langgraph dev support
pip install langgraph-cli             # without dev server (build/up/deploy only)

SKILL.md on GitHub