# coleam00/ai-agents-masterclass

Follow along with my AI Agents Masterclass videos! All of the code I create and use in this series on YouTube will be here for you to use and even build on top of!

Repository: https://github.com/coleam00/ai-agents-masterclass
Canonical: https://ross.abutalabs.com/products/ai-agents-masterclass
Language: Python
License: MIT
License Family: permissive
Last push: 2025-01-14T16:15:41+00:00

## Health v2 (maintenance only)
Score: 24/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 1, release rhythm 35, longevity 57
- inputs: {"age_days": 801, "days_push": 596, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 3446, forks 1327 (observed 2026-08-28T04:08:05.183694+00:00)

## What it is
A companion code repository for a YouTube AI Agents Masterclass series, containing example Python code for building AI agents. Each numbered folder corresponds to a video lesson with the exact code used in that episode.

## Use cases
- learn how to build AI agents from scratch
- follow along with an AI agents video course
- find example code for LLM agents that interact with external tools
- get starter code for building multi-agent applications
- understand how to connect LLMs to CRMs, email, and task tools
- learn agent development in Python

## When to choose
- you want guided, video-based learning for building AI agents
- you prefer working code examples you can run and extend
- you are a Python developer new to LLM agents

## When to avoid
- you need a production-ready agent framework rather than tutorial code
- you want a maintained library with API stability guarantees
- you don't want to follow the accompanying YouTube videos

## Facets
- artifact type: learning-resource
- maturity: active
- function: agent-framework, llm-inference, developer-tools
- domain: large-language-models, tutorials, artificial-intelligence
- platform: python, cross-platform
- tags: ai-agents, tutorial-code, youtube-series, langgraph, example-code

## Member repositories
- coleam00/ai-agents-masterclass (main) score 24

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:08:05.183694+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-29T18:37:36.588767+00:00, confidence not recorded.
  - readme: https://github.com/coleam00/ai-agents-masterclass (fetched 2026-08-28T04:08:05.183694+00:00, sha 38be2798a3d7)
- Data as of 2026-08-30T08:39:29.467469+00:00.