by esurovtsev · Agent Tool · ★ 82
LangGraph Advanced This repository continues the LangGraph learning journey with a collection of advanced Jupyter notebooks. It focuses on real-world agent architectures, including dynamic tool loading, long-term memory management, human-in-the-loop control, and parallel execution. Designed for developers who already grasp the basics, this series helps you build scalable and production-ready AI workflows with LangGraph and LangChain.
| Stars | 82 |
| Forks | 34 |
| Language | Jupyter Notebook |
| Category | Agent Tool |
| Quality Score | 64.2950017550125/100 |
| Last Updated | 2025-11-22 |
| Created | 2025-07-27 |
| Est. Tokens | ~54k |
These tools work well together with langgraph-advanced for enhanced workflows:
Explore other popular agent tool tools:
langgraph-advanced is An advanced LangGraph series exploring real-world agent workflows, dynamic tools, parallel execution, long-term memory, and human-in-the-loop designs. Includes hands-on Python notebooks for building s. It is categorized as a Agent Tool with 82 GitHub stars.
langgraph-advanced is primarily written in Jupyter Notebook.
You can find installation instructions and usage details in the langgraph-advanced GitHub repository at github.com/esurovtsev/langgraph-advanced. The project has 82 stars and 34 forks, indicating an active community.