MDalamin5/End-to-End-Agentic-Ai-Automation-Lab
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.
93
Stars
38
Forks
33.6
Radar Score
Stable
Momentum
Scoring Breakdown
Impact37.8
Velocity27.3
Health35.8
Growth Metrics
7-Day Stars
+0
30-Day Stars
+0
Acceleration
x
Language
Jupyter Notebook
Popular Alternatives & Competitors
Top projects in the same category (MCP) — compare side by side.
🛡️ Enterprise Readiness & Commercial Safety
Organic Growth
95%
High Confidence
Growth pattern looks organic.
License
Permissive (Commercial Friendly)
Safe for commercial use, modification, and distribution.
Health Grade
C
Based on maintenance, issue response, and release cadence.
Radar Score
33.6
Composite of Impact, Velocity, and Health.
Disclaimer: This is an automated heuristic assessment based on public GitHub signals. Always perform your own security audit, dependency review, and legal compliance check before production deployment.
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