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.
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.
Features
Compatibility
Quick start
Use cases
Alternatives
Related searches
Comments
- Quinn ChenApr 1, 2026
Hands-on agentic AI projects with deployment workflows are rare in open-source repos
- KKendall ThompsonApr 1, 2026
Good resource for teams learning how to operationalize AI agents
- Remy ChenMar 21, 2026
The code examples are production-oriented, not just toy demos