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  3. AI Engineering Hub
MCP server · AI

AI Engineering Hub

Free, research-backed tutorials for building with AI agents. Ollama, LangGraph, AutoGen, MCP, RAG, prompts. Runnable code, local-first.

92Excellent

Scored 6 days ago · breakdown

About AI Engineering Hub

AI Engineering Hub is an MCP server published by patchy631 in the AI category: free, research-backed tutorials for building with AI agents. Ollama, LangGraph, AutoGen, MCP, RAG, prompts. Runnable code, local-first.

The repository has 38K stars and 6.3K forks, with the last commit 5 days ago. Recent commit activity is the strongest signal that reported issues will get attention.

Install

From source
git clone https://github.com/patchy631/ai-engineering-hub

This server has no ConduID identity, so agent calls to it are not receipted. Pin the version you install and review the source before granting it credentials.

Ask AI

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Security checks

Static checks derived from the repository 8 hours ago. Heuristics on the source, not an audit.

  • ✓README presentThe repository ships documentation.
  • ✓License declaredUsable under a stated license.
  • ✓Tests presentA test suite exists in the repository.
  • ✓Dependencies pinnedA lockfile pins dependency versions.
  • !Scoped permissionsDoesn't declare a permission scope. Assume it can do anything its process can.

1 check has not been run yet.

README


AI Engineering Hub 🚀

Welcome to the AI Engineering Hub - your comprehensive resource for learning and building with AI!

🌟 Why This Repo?

AI Engineering is advancing rapidly, and staying at the forefront requires both deep understanding and hands-on experience. Here, you will find:

  • 93+ Production-Ready Projects across all skill levels
  • In-depth tutorials on LLMs, RAG, Agents, and more
  • Real-world AI agent applications
  • Examples to implement, adapt, and scale in your projects

Whether you're a beginner, practitioner, or researcher, this repo provides resources for all skill levels to experiment and succeed in AI engineering.


📋 Table of Contents


🎯 Getting Started

New to AI Engineering? Start here:

  1. Complete Beginners: Check out the AI Engineering Roadmap for a comprehensive learning path
  2. Learn the Basics: Start with Beginner Projects like OCR apps and simple RAG implementations
  3. Build Your Skills: Move to Intermediate Projects with agents and complex workflows
  4. Master Advanced Concepts: Tackle Advanced Projects including fine-tuning and production systems

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🎓 Projects by Difficulty

🟢 Beginner Projects

Perfect for getting started with AI engineering. These projects focus on single components and straightforward implementations.

OCR & Vision

  • LaTeX OCR with Llama - Convert LaTeX equation images to code using Llama 3.2 vision
  • Llama OCR - 100% local OCR app with Llama 3.2 and Streamlit
  • Gemma-3 OCR - Local OCR with structured text extraction using Gemma-3
  • Qwen 2.5 OCR - Text extraction using Qwen 2.5 VL model

Chat Interfaces & UI

Basic RAG

Multimodal & Media

Other Tools


🟡 Intermediate Projects

Multi-component systems, agentic workflows, and advanced features for experienced practitioners.

AI Agents & Workflows

Voice & Audio

Advanced RAG

Multimodal

MCP (Model Context Protocol)

Model Comparison & Evaluation


🔴 Advanced Projects

Complex systems, fine-tuning, production deployments, and cutting-edge implementations.

Fine-tuning & Model Development

Advanced Agent Systems

Advanced MCP & Infrastructure

Production Systems

Learning Resources


📢 Contribute to the AI Engineering Hub!

We welcome contributors! Whether you want to add new tutorials, improve existing code, or report issues, your contributions make this community thrive. Here's how to get involved:

  1. Fork the repository
  2. Create a new branch for your contribution
  3. Submit a Pull Request and describe the improvements

Check out our contributing guidelines for more details.


📜 License

This repository is licensed under the MIT License - see the LICENSE file for details.


💬 Connect

For discussions, suggestions, and more, feel free to create an issue or reach out directly!

Happy Coding! 🎉

README fetched from the repository 8 hours ago. The original is authoritative.

Questions

About AI Engineering Hub

How do I install AI Engineering Hub?

No package has been published for this server, so install it from source: clone the repository and follow its README.

Is AI Engineering Hub safe to use with an AI agent?

Its trust score is 92 out of 100 (excellent). It passes 4 of the 5 static security checks run so far; the failures are listed above. It has no ConduID identity yet, so agent calls to it are not receipted.

Is AI Engineering Hub still maintained?

Yes — the last commit was 5 days ago. The repository has 38K stars and 6.3K forks and 125 open issues.