End-to-End-Agentic-Ai-Automation-Lab
by MDalamin5
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.
๐ Score Breakdown
Overall = Security (30%) + Utility (30%) + Maintenance (25%) + Uniqueness (15%). Full methodology โ
โน๏ธ Details
Category
โ๏ธ Cloud PlatformsEcosystem
MCP ServerLanguage
Jupyter Notebook
Pricing
Free
License
MIT
Status
Active
Platforms
๐ GitHub Signals
50
Stars
26
Forks
0
Commits (30d)
0
Open Issues
Last commit: 5 months ago
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Scored 79/100 for security, utility and maintenance. Add the badge to your README or site to show it, verified by an independent directory.
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Data last verified: 5 months ago. See something wrong? Report it โ