Shayanthn/AI-Agent-Architectures
This repository is continuously updated with new architectures and improvements to stay at the forefront of AI agent design.
This project provides practical, runnable examples of over 17 advanced AI agent designs, helping you understand and implement intelligent systems that can perform tasks like generating high-quality code, conducting real-time research, or even simulating financial trades. It takes abstract AI agent concepts and turns them into concrete code, showing you how to build systems that think, plan, use tools, and collaborate. This is for AI developers, researchers, and enthusiasts who want to master cutting-edge agent architectures.
Use this if you are an AI developer or researcher looking to deeply understand and implement state-of-the-art AI agent architectures using LangChain and LangGraph for real-world applications.
Not ideal if you are a non-technical user looking for a ready-to-use AI application, or if you are not interested in the underlying code and design principles of AI agents.
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Language
Jupyter Notebook
License
MIT
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Last pushed
Nov 22, 2025
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