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Tool profile

MDalamin5/End-to-End-Agentic-Ai-Automation-Lab

new
Single maintainer

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.

agentic-aiagentic-ragambient-aiautogendeep-agentsdockerfine-tuningguardrails
Velocity score
0.27/ 10
[STARS]
70
[FORKS]
34
[CONTRIBUTORS]
1
[LAST_COMMIT]
6d ago
OPEN_ON_GITHUB
Velocity class: new
Is MDalamin5/End-to-End-Agentic-Ai-Automation-Lab still actively maintained?
[VR]

This tool is in the Velocity Report when it moves. Get the weekly numbers.

Score breakdown
551/ 1000
mcp · MDalamin5/End-to-End-Agentic-Ai-Automation-Lab
Velocity50%
Adoption30%
Maintenance15%
Community5%
[CODE_GROWTH]
491
[INSTALL_VEL]
500
[ACTIVITY]
979
[COMMUNITY_SIGNAL]
176

Terminal score: 0–1000 raw, weighted across 4 dimensions. Public score: 0–10 normalized (shown in the 30-day stars chart above).

LIVE──────── · ──:──:── UTCabout