AI Agent Development Toolkit
3.1k 2026-04-28
FareedKhan-dev/all-agentic-architectures
A comprehensive repository offering practical implementations of 17+ state-of-the-art AI agent architectures using LangChain and LangGraph for hands-on learning and development.
Core Features
Implementations of 17+ agentic architectures
Structured learning path with runnable Jupyter notebooks
Emphasis on evaluation using LLM-as-a-Judge patterns
Real-world scenarios and practical applications
Utilizes LangGraph for stateful, cyclical agent design
Detailed Introduction
This project serves as a living textbook and hands-on masterclass for modern AI agent design, bridging the gap between theoretical concepts and production-ready code. It provides detailed, end-to-end implementations of over 17 advanced agentic architectures built with LangChain and LangGraph. Designed for developers and researchers, it offers a structured learning path, practical examples grounded in real-world scenarios, and a strong focus on quantitative agent performance evaluation, making it an invaluable resource for mastering intelligent system development.