Langgraph 101 Ts

LangGraph Workshops - TypeScript

Welcome to the LangGraph Workshops for TypeScript!

Introduction

This repository contains hands-on TypeScript workshops for learning to build agents with LangChain and LangGraph, organized into independent learning tracks:

• 101 - Fundamentals: Build agents from scratch with LangChain v1 and LangGraph v1 -- tools, state, multi-agent supervisors, human-in-the-loop, memory, and evaluations.
• Deep Agents: Advanced patterns including deep agents, AGENTS.md, skills, long-term memory, and production workflows.

This is a condensed version of [LangChain Academy](https://academy.langchain.com/), intended to be run in a session with a LangChain engineer. If you're interested in going deeper or working through tutorials on your own, check out LangChain Academy -- it has helpful pre-recorded videos from our engineers.

**Note**: This is the **TypeScript** version. The Python version is at [langchain-ai/langgraph-101](https://github.com/langchain-ai/langgraph-101).

What's Inside

Workshop	Path	Status	Description
101 - Fundamentals	`workshops/101/`	Available	6 progressive agents covering tools, state graphs, multi-agent supervisors, human-in-the-loop, and memory. Includes 4 evaluation scripts.
Deep Agents	`workshops/deepagents/`	Available	14 progressive agents covering the Deep Agents harness, backends, subagents, middleware, HITL, memory, and skills.

Each workshop is self-contained with its own `package.json`, `langgraph.json`, `.env.example`, and `README.md` with detailed setup and usage instructions.

Context

At LangChain, we aim to make it easy to build LLM applications. One type of LLM application you can build is an agent. There's a lot of excitement around building agents because they can automate a wide range of tasks that were previously impossible.

In practice though, it is incredib