Build Your Own AI Agent from Scratch (LangGraph + Python Tutorial)
Last Updated on August 28, 2025 by Editorial Team
Author(s): A.Venkatesh
Originally published on Towards AI.
Build Your Own AI Agent from Scratch (LangGraph + Python Tutorial)
In this blog, you’ll learn how to build a conversational chatbot powered by a LangGraph agent that can decide whether to use tools (like Wikipedia or Python) or answer directly using LLM.

This article provides a comprehensive guide to creating a conversational chatbot using LangGraph, covering the setup of a FastAPI project, the integration of tools like Wikipedia and Python REPL, and a step-by-step walkthrough of the implementation process. It also includes examples of how to define an API endpoint, manage state, and visualize the interaction flow, ensuring readers have all the necessary components to build their own AI agent.
Read the full blog for free on Medium.
Join thousands of data leaders on the AI newsletter. Join over 80,000 subscribers and keep up to date with the latest developments in AI. From research to projects and ideas. If you are building an AI startup, an AI-related product, or a service, we invite you to consider becoming a sponsor.
Published via Towards AI
Towards AI Academy
We Build Enterprise-Grade AI. We'll Teach You to Master It Too.
15 engineers. 100,000+ students. Towards AI Academy teaches what actually survives production.
Start free — no commitment:
→ 6-Day Agentic AI Engineering Email Guide — one practical lesson per day
→ Agents Architecture Cheatsheet — 3 years of architecture decisions in 6 pages
Our courses:
→ AI Engineering Certification — 90+ lessons from project selection to deployed product. The most comprehensive practical LLM course out there.
→ Agent Engineering Course — Hands on with production agent architectures, memory, routing, and eval frameworks — built from real enterprise engagements.
→ AI for Work — Understand, evaluate, and apply AI for complex work tasks.
Note: Article content contains the views of the contributing authors and not Towards AI.