AI Agent Development Framework
3.0k 2026-04-16
FareedKhan-dev/all-agentic-architectures
A comprehensive repository offering practical implementations of over 17 state-of-the-art AI agent architectures using LangChain and LangGraph.
Core Features
Implementations of 17+ advanced AI agent architectures.
Built with LangChain and LangGraph for modern agent design.
Structured learning path with runnable Jupyter notebooks.
Emphasis on agent evaluation using LLM-as-a-Judge patterns.
Examples grounded in real-world applications across various domains.
Detailed Introduction
This project serves as a hands-on masterclass for mastering modern AI agent design, bridging the gap between theoretical concepts and production-ready code. It provides detailed, end-to-end implementations of over 17 cutting-edge agentic architectures, leveraging LangChain and LangGraph. Designed for developers and researchers, it offers a structured learning path, practical examples, and robust evaluation methods, making complex AI agent development accessible and tangible for real-world applications.