LangGraph 101: How to Choose Your Agentic Framework?

LangGraph 101: How to Choose Your Agentic Framework? Are you building with AI agents and feeling overwhelmed by all the frameworks out there? In this video, we break down the core ideas from LangChain’s blog to help you choose the right agentic framework for your app. 👉 Learn what makes LangGraph special — and why it’s considered both beginner-friendly (low floor) and endlessly powerful (high ceiling). We’ll compare LangGraph to traditional agent and workflow systems, and explain: - What is the “floor” and “ceiling” of a framework? - How LangGraph balances structure with flexibility - The difference between agents, workflows, and graphs - When to use LangGraph vs. other agent libraries Whether you’re just starting with AI agents or building complex orchestrations, this video will give you a clear mental model for designing reliable, scalable systems. 📚 Based on this post: LangChain Blog – How to Think About Agent Frameworks ⸻ Suggested hashtags: #LangGraph #LangChain #AIagents #AgentFrameworks #LLMapps #LangGraph101 #OpenAI #AutonomousAgents #AIworkflow #promptengineering