In today's video we're going to start learning about how we can build/host our very own local AI in Python! This opens a world of opportunity for Python-based applications. This is the first video of a three part series. Each video will build upon existing code to improve the AI agent.

This video was sponsored by Zed, the next-gen code editor:
▶ Try Zed for free: http://zed.dev/download

More from Indently:
▶ Become job-ready with Python: https://www.indently.io
▶ Learn Rust with me: https://www.youtube.com/@Rustfully

This script was written by Miss Cthulian Coder, Insanity by Design:
▶  Blog: https://AlyceOsbourne.github.io

00:00 Learning Python made simple
00:03 Intro
02:11 Zed the code editor
02:30 LM Studio
04:35 The code
09:40 Running the AI
11:15 Upgrading our code
13:22 Limitations
14:38 That’s it!

Indently

A beginner-friendly tutorial on building a local AI agent in Python using LM Studio and the Qwen 3.5B model. Covers setting up LM Studio, enabling its local API, and writing ~60 lines of Python to implement a basic agent loop that maintains conversation history. The agent runs entirely offline for privacy, uses the OpenAI-compatible API format, and includes a rich console UI with a loading spinner. This is part one of a three-part series, with future videos adding tools, dynamic context, and real-world actions.

Build a Local AI Agent in Python in only 15 Minutes