End-to-End-Agentic-Ai-Automation-Lab

36/100

⭐ 72 stars 🔀 33 forks 🔧 Jupyter Notebook 📄 MIT 🕐 2026-05-28

🤖 AI/MLagentic-aiagentic-ragambient-aiautogendeep-agentsdockerfine-tuningguardrails

This repository contains hands-on projects, code examples, and deployment workflows. Explore multi-agent systems, LangChain, LangGraph, AutoGen, CrewAI, RAG, MCP, automation with n8n, and scalable agent deployment using Docker, AWS, and BentoML.

📊 Score Breakdown

Recency8/20

Documentation5/15

Tests4/10

Auth/Security4/10

Star Velocity5/15

Security Audit5/15

Install Docs5/15

Language: Jupyter Notebook

⚡ Install

# Clone and install
git clone https://github.com/MDalamin5/End-to-End-Agentic-Ai-Automation-Lab
cd end-to-end-agentic-ai-automation-lab
npm install  # or: pip install -r requirements.txt

View on GitHub → 📖 README 🐛 Issues Browse All Servers

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About End-to-End-Agentic-Ai-Automation-Lab — End-to-End-Agentic-Ai-Automation-Lab is a 🤖 AI/ML MCP server with a quality score of 36/100 (D grade). It has ⭐72 GitHub stars, 🔀33 forks, and is written in Jupyter Notebook. This repository contains hands-on projects, code examples, and deployment workflows. Explore multi-agent systems, LangChain, LangGraph, AutoGen, CrewAI, RAG, MCP, automation with n8n, and scalable age

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