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LangGraph tutorial AI agent workflow deployed on a VPS

LangGraph Tutorial: How to Build an AI Agent in Python

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Most AI demos stop at a single prompt and a single answer. Real agents need more. They have to remember earlier messages, decide when to use a tool, and sometimes wait for a person to approve an action before they carry on.

LangGraph is a Python framework built for exactly this. In this LangGraph tutorial, you will build a small AI agent step by step. It will use tools, remember conversations, stream its replies and pause for human approval. At the end, you will deploy it on an Ubuntu VPS so it keeps running after you close your laptop.

What You Will Build

By the end of this guide, you will have an agent that:

  • Answers general questions directly
  • Calls a Python tool when a question needs one
  • Remembers each conversation using a thread ID
  • Streams its output while it is being generated
  • Asks for approval before running a tool
  • Runs as a background service behind a small API

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