# tylerprogramming/ai

This repository will have different projects using AutoGen and Tutorials

Repository: https://github.com/tylerprogramming/ai
Canonical: https://ross.abutalabs.com/products/tylerprogramming-ai
Language: Python
License Family: other
Topics: ai, autogen, lmstudio
Last push: 2025-12-14T00:25:54+00:00

## Health v2 (maintenance only)
Score: 53/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 57, release rhythm 35, longevity 74
- inputs: {"age_days": 1043, "days_push": 263, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases, no_license
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 1144, forks 308 (observed 2026-08-28T04:03:44.938818+00:00)

## What it is
A collection of tutorial projects and example code demonstrating Microsoft AutoGen and CrewAI multi-agent frameworks, accompanying a YouTube channel. It includes agent examples for SaaS products, local LLM setups with LM Studio and Ollama, and integrations like MemGPT and Whisper.

## Use cases
- learn how to build multi-agent apps with autogen
- example projects using crewai agents
- run local llm agents with lm studio and ollama
- tutorials for building ai agent saas products
- understand autogen agent workflows
- integrate memgpt or whisper into agent projects

## When to choose
- you are learning AutoGen or CrewAI through worked examples
- you want starter code for multi-agent projects with local LLMs
- you follow along with video tutorials on AI agents

## When to avoid
- you need production-ready, licensed, or maintained agent code
- you want a stable library rather than tutorial snippets
- you need guaranteed correctness since examples may break with library updates

## Facets
- artifact type: learning-resource
- maturity: active
- function: agent-framework, llm-inference, prompt-engineering
- domain: artificial-intelligence, large-language-models, tutorials
- platform: python, cross-platform
- tags: autogen, crewai, lm-studio, ollama, tutorial-projects, multi-agent, ai-agents

## Member repositories
- tylerprogramming/ai (main) score 53

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:03:44.938818+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 2026-08-30T06:34:45.928852+00:00, confidence not recorded.
  - readme: https://github.com/tylerprogramming/ai (fetched 2026-08-28T04:03:44.938818+00:00, sha 2a44e5ba3dce)
- Data as of 2026-08-30T08:39:29.467469+00:00.