# AI Engineering Hub

> AI Engineering Hub (~41k stars, no tagged releases, updated Nov 2026) is a GitHub collection of 93+ example projects sorted into beginner, intermediate and advanced, from local OCR and chat apps to RAG pipelines, multi-agent systems, MCP servers and fine-tuning notebooks. The code is MIT. Each project is set up separately with Python; some run fully on your computer with Ollama models, while many need API keys for hosted services such as OpenAI, Gemini, AssemblyAI or Firecrawl. It is learning material, not one app, and the READMEs promote the authors' newsletter.

- Repository: https://github.com/patchy631/ai-engineering-hub
- Official docs: https://github.com/patchy631/ai-engineering-hub#readme
- Checked: 2026-11-03

## What it replaces
Nothing people pay for: a free tool, listed because people search for it.

## Facts, with sources

| Question | Status | Answer | Source | Checked |
|---|---|---|---|---|
| Runs on my machine? | Partial | Varies by project; some run fully locally with Ollama models, many call hosted AI APIs | https://github.com/patchy631/ai-engineering-hub#readme | 2026-11-03 |
| Code licence | Confirmed | MIT | https://github.com/patchy631/ai-engineering-hub/blob/main/LICENSE | 2026-11-03 |
| Model weights licence | Partial | No weights in the repo; projects pull third-party models (Llama, Gemma, DeepSeek, Qwen and others) under their own licences, or call hosted APIs | https://github.com/patchy631/ai-engineering-hub#readme | 2026-11-03 |
| Commercial use | Partial | The code is MIT, so commercial use is allowed; the models and hosted services each project uses have their own terms | https://github.com/patchy631/ai-engineering-hub/blob/main/LICENSE | 2026-11-03 |
| Paid services needed? | Partial | Varies by project; local Ollama projects need none, but many need API keys for hosted services such as OpenAI, Gemini, AssemblyAI, Firecrawl, Zep, Bright Data or Linkup | https://github.com/patchy631/ai-engineering-hub/tree/main/notebook-lm-clone | 2026-11-03 |
| Hardware | Unknown | Not documented (checked the main README and the llama-ocr, simple-rag-workflow, video-rag-gemini and notebook-lm-clone READMEs); varies by project and by model size | https://github.com/patchy631/ai-engineering-hub#readme | 2026-11-03 |
| Operating systems | Partial | Python projects; many READMEs give Windows and macOS/Linux setup steps, but not every project covers every system | https://github.com/patchy631/ai-engineering-hub/tree/main/notebook-lm-clone | 2026-11-03 |
| Setup effort | Partial | Medium effort, done per project; install Python packages, often Ollama or API keys, then run a Streamlit app or notebook | https://github.com/patchy631/ai-engineering-hub/tree/main/llama-ocr | 2026-11-03 |

GitHub: 40949 stars, 6542 forks, last push 2026-11-01, archived: no.

## Alternatives to AI Engineering Hub
- [Claude How To](https://repoquarry.dev/projects/claude-howto.md): Visual guide to Claude Code in 10 tutorial modules, with Mermaid diagrams and copy-paste slash commands, skills, hooks, MCP and subagent configs.
- [OpenMAIC](https://repoquarry.dev/projects/openmaic.md): Self-hosted AI classroom that turns a topic or document into slides, quizzes and simulations taught by AI teachers and classmates.
- [DeepTutor](https://repoquarry.dev/projects/deeptutor.md): Self-hosted AI tutoring workspace from HKU: chat over your documents, quizzes, research, solving and mastery paths, with cloud or local LLMs; Apache-2.0.
- [Marble Skill Taxonomy](https://repoquarry.dev/projects/os-taxonomy.md): Open JSON dataset of 1,845 primary-school micro-topics linked by 3,941 prerequisite edges and mapped to curriculum standards such as Common Core and NGSS.
- [Claudemy](https://repoquarry.dev/projects/claudemy.md): Claude Code skill that researches any topic on the web and builds a course of about 12 two-minute audio lessons with cards and cited sources.
- [LLM Course](https://repoquarry.dev/projects/llm-course.md): Free LLM course in three tracks (fundamentals, LLM scientist, LLM engineer) with curated reading lists and Colab notebooks for fine-tuning and quantization.
---
Source: RepoQuarry (https://repoquarry.dev/projects/ai-engineering-hub). Data licence: CC BY 4.0. Quotes are from project documentation and belong to their authors.