Today, we leave the world of linear "Chains" and enter the most powerful evolution of the LangChain ecosystem: LangGraph . If you've been following along, you've noticed that Chains always go forward: A -> B -> C . But real intelligence requires loops . Think about how you work: you write code, you run it, it fails, so you go back and fix it. That's a cycle. LangGraph is designed to let AI agents do exactly that. 🔄 Why LangGraph? Standard LangChain "Chains" are Directed Acyclic Graphs (DAGs). They can't loop. LangGraph allows for cycles , which are essential for: Self-Correction: "I tried to search Google, but got no results. I'll try a different keyword." Multi-Agent Collaboration: "Agent A writes the code, Agent B reviews it and sends it back for edits." Persistence: Saving the state of a conversation so you can pause and resume it days later.…