langgraph-cli

Scaffold, develop, build, and deploy LangGraph applications using the langgraph CLI.

Updated May 29, 2026
One-click install
npx skills add https://github.com/patorn/langgraph-template --skill langgraph-cli-patorn
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: langgraph-cli
Source: https://github.com/patorn/langgraph-template/tree/main/.agents/skills/langgraph-cli
Command: npx skills add https://github.com/patorn/langgraph-template --skill langgraph-cli-patorn

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

LangGraph CLI enables developers to scaffold, develop, build, and deploy LangGraph applications from templates, reducing setup time and ensuring consistent project structure.

Core Features & Use Cases

  • Scaffolding: create new LangGraph projects from templates in minutes.
  • Local development: run servers with hot reload and test graphs locally.
  • Build and deployment: containerize apps and deploy to LangGraph Platform with minimal config.
  • Language-agnostic support: works for Python and JavaScript projects via templates and CLI commands.

Quick Start

Scaffold a new LangGraph project with the CLI and start the local development server.

Frequently Asked Questions about langgraph-cli

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I scaffold a new LangGraph application from a template?

Scaffold a new LangGraph application by installing the langgraph-cli via pip and running its project creation command to generate a structured project from a template in minutes.

Can I run a local development server with hot reload for LangGraph projects?

Run a local development server for LangGraph projects using the CLI's inmem dev feature, which provides hot reload to test graphs locally during development.

Does langgraph-cli support building Docker images for production deployment?

Build Docker images for production deployment using langgraph-cli, which allows you to containerize LangGraph applications and start full Docker stacks with minimal configuration.

Do I need Docker to use langgraph-cli for local development?

Docker is not required for local development since the CLI supports an inmem dev server, but Docker is necessary for production-like workflows and building container images.

What is the best way to deploy LangGraph apps to LangGraph Platform?

Deploy LangGraph apps to LangGraph Platform by using the langgraph-cli deployment commands after building your application from a scaffolded template and configuring your project.

Can I use langgraph-cli to scaffold JavaScript LangGraph projects or is it Python only?

Langgraph-cli provides language-agnostic support, allowing you to scaffold and develop both Python and JavaScript LangGraph projects via its templates and CLI commands.