LangGraphProjects and dive-into-langgraph
These are **complements**: the first provides comprehensive business-focused agent patterns from a published guide, while the second offers a foundational tutorial for understanding LangGraph's core concepts and architecture, making them useful to follow sequentially rather than choose between.
About LangGraphProjects
jkmaina/LangGraphProjects
This is the official companion repository for the book The Complete LangGraph Blueprint: Build 50+ AI Agents for Business Success. The repository provides source code, practical examples, and resources to help you build dynamic AI agents using LangGraph, a cutting-edge graph-based framework for artificial intelligence workflows.
This project provides the practical code examples for building AI agents that automate tasks and solve business problems. It takes programming concepts and AI principles, and outputs functional AI agents capable of dynamic decision-making and tool integration. It is for developers or technical practitioners looking to implement advanced AI solutions in various business sectors.
About dive-into-langgraph
luochang212/dive-into-langgraph
LangGraph 1.0 Tutorial
This project offers a comprehensive guide for developers looking to build advanced AI agents using the LangGraph 1.0 framework. It helps you design sophisticated workflows with memory, state management, and multi-agent capabilities. Developers will learn to create powerful AI applications by combining LangGraph's workflow orchestration with LangChain's foundational components and tools.
Related comparisons
Scores updated daily from GitHub, PyPI, and npm data. How scores work