End-to-End-Agentic-Ai-Automation-Lab
Enrichment pendingThis 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 age
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Maintenance and security
Full trust report- Maintenance
- Steady (33d since push)
- As of today
- Provenance
- Not a fork · Personal account
- As of today
- Security (OSV)
- No criticals
- As of today
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Install
git clone https://github.com/MDalamin5/End-to-End-Agentic-Ai-Automation-LabSimilar tools
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Sourced facts, taxonomy, compatibility claims, README excerpt, and machine-readable endpoints.
Overview
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.
Capability facts
- Languages
- jupyter notebook
Source: github.language · Jul 15, 2026
Categories
Compatibility
Sourced claims from the README excerpt - not unsourced marketing copy.
Source: README excerpt (regex_v1, Jul 15, 2026)
pip install -r requirements.txtSource link
Tags
README
3. Install Dependencies
Dependencies may vary per module. Navigate to the specific project folder and install the requirements:
cd 18-e2e-chatbot-mem0-tools-HITL-MCP-RAG
pip install -r requirements.txt
📜 License & Connect
Distributed under the MIT License. See LICENSE for more information.
Developed with 💡 by Md Al Amin
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For agents
This page has a .md twin and JSON over the API.