tylerprogramming/ai resource
This repository will have different projects using AutoGen and Tutorials observed · 2026-08-28
Health v2 · maintenance only
53/100
- Activity 57
- Release rhythm 35
- Longevity 74
Flags: no_releases no_license
How is this computed?
round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-03. Adoption (stars, forks) is never an input.
- gap_med: n/a
- age_days: 1043
- days_rel: n/a
- days_push: 263
- n_releases_24m: 0
Adoption not part of the score
1144 stars · 308 forks observed · 2026-08-28
What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded
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
learning-resource · maturity active
agent-framework llm-inference prompt-engineering artificial-intelligence large-language-models tutorials python cross-platform autogen crewai lm-studio ollama tutorial-projects multi-agent ai-agents
1 source
- readme: https://github.com/tylerprogramming/ai · fetched 2026-08-28 · 2a44e5ba3dce
Member repositories
| Repository | Role | Health v2 |
|---|---|---|
| tylerprogramming/ai | main | 53 |
For agents
markdown · JSON · MCP: product_card(name="tylerprogramming/ai")
Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem