Build an AI Agent for GitHub Issues with LangGraph

Imagine an AI agent that automatically triages, labels, comments on, and closes your GitHub issues — without you lifting a finger. In this tutorial, you'll build exactly that using LangGraph (a framework for building stateful AI agent workflows) and Node.js . By the end, you'll have a fully autonomous agent that reads new issues, analyzes them with an LLM, and takes real actions on your repository.

This project is ideal for developers who want to move beyond simple chatbots and build agents that interact with real-world APIs.

What You'll Learn

How to design a multi-step AI agent with LangGraph's state graph

How to connect an LLM to the GitHub REST API using custom tools

How to build a decision loop where the agent autonomously chooses actions

How to test and run your agent locally with Node.js

Prerequisites You'll Need Before Starting

Before diving in, make sure you have the following tools and accounts ready:

Node.js v18 or higher installed on…