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.

LangGraphProjects
55
Established
dive-into-langgraph
50
Established
Maintenance 6/25
Adoption 10/25
Maturity 16/25
Community 23/25
Maintenance 10/25
Adoption 10/25
Maturity 13/25
Community 17/25
Stars: 168
Forks: 71
Downloads:
Commits (30d): 0
Language: Python
License:
Stars: 346
Forks: 44
Downloads:
Commits (30d): 0
Language: Jupyter Notebook
License:
No Package No Dependents
No Package No Dependents

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.

AI-agent-development business-process-automation natural-language-processing AI-workflow-design intelligent-systems

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.

AI Agent Development Large Language Models Workflow Orchestration Application Development Machine Learning Engineering

Related comparisons

Scores updated daily from GitHub, PyPI, and npm data. How scores work