End-to-End-Agentic-Ai-Automation-Lab
Active·★ 103·MIT·Updated 2026-10-22
This repository provides a comprehensive, hands-on project portfolio for end-to-end agentic AI automation, showcasing advanced implementations of multi-agent frameworks, RAG pipelines, and AI workflow automation. It is designed for developers interested in building, deploying, and managing intelligent AI agents at scale.
#Agentic AI#Multi-Agent Systems#RAG#LLM Orchestration#AI Automation#Cloud Deployment#CI/CD#Monitoring
01
Features
01AI Agent Frameworks (LangChain, LangGraph, CrewAI, Agno, AutoGen)
02Multi-Agent Collaboration & Memory Management
03Adaptive & Agentic RAG Systems
04End-to-End Deployment with CI/CD
05Monitoring, Debugging & Human Feedback Integration
02
Compatibility
Python
Runtime
Verified via docs
Docker
Containerization
Verified via docs
AWS
Cloud Platform
Verified via docs
GitHub Actions
CI/CD
Verified via docs
03
Quick start
1
$ git clone https://github.com/MDalamin5/End-to-End-Agentic-Ai-Automation-Lab.git
04
Use cases
↳Chatbots
↳Financial Agents
↳Automation
05
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