Discussion - Topic: LangGraph

This week's topic: LangGraph

As described in Thoughtworks Technology Radar Vol. #32.

LangGraph is an orchestration framework designed to build stateful multi-agent applications using LLMs. It provides a lower-level set of primitives like edges and nodes compared to LangChain’s higher-level abstractions, offering developers fine-grained control over agent workflows, memory management and state persistence. This graph-based approach ensures predictable and customizable workflows, making debugging, scaling and maintaining production applications easier. Although it has a steeper learning curve, LangGraph’s lightweight design and modularity make it a powerful framework for creating agentic applications.

Zoom link will be added about 5 min before the event starts.

Discussion Resources :

Please try to read/watch before the meetup as it will help drive the discussions.

Build AI Workflows with FastAPI & LangGraph: Step-by-Step Guide for 2025 By Shivam Sharma
https://www.zestminds.com/blog/build-ai-workflows-fastapi-langgraph/

LangGraph Tutorial: Complete Beginner's Guide to Getting Started By Raian
https://latenode.com/blog/ai-frameworks-technical-infrastructure/langgraph-multi-agent-orchestration/langgraph-tutorial-complete-beginners-guide-to-getting-started

LangChain vs LangGraph: A Developer's Guide to Choosing Your AI Frameworks By Min Yin
https://milvus.io/blog/langchain-vs-langgraph.md

LangGraph Multi-Agent Orchestration: Complete Framework Guide + Architecture Analysis 2025 By Raian
https://latenode.com/blog/ai-frameworks-technical-infrastructure/langgraph-multi-agent-orchestration/langgraph-multi-agent-orchestration-complete-framework-guide-architecture-analysis-2025

LangGraph Complete Course for Beginners – Complex AI Agents with Python By freeCodeCamp.org
https://www.youtube.com/watch?v=jGg_1h0qzaM