HKOTEN / TECHNOLOGY STORYTELLER
What Is Graph Engineering? When AI Agents Work Together
Video in Vietnamese Published
About this video
What is Graph Engineering? How can multiple AI agents work on one project, coordinate tasks and handle errors without descending into chaos?
Graph Engineering organizes a system as a graph, using nodes, edges and execution state to define tasks, dependencies and how AI agents are coordinated.
In January 2024, LangChain introduced LangGraph, supporting cyclic AI workflows. In July 2026, LangChain discussed Graph Engineering publicly. In August 2026, research by Yuyuan Feng and colleagues systematized the approach from Individual Intelligence to System Intelligence.
🔍 You will explore:
- How Graph Engineering differs from Prompt, Context, Harness and Loop Engineering.
- How Task Graph, Agent Graph and Runtime State Graph work together.
- Why AI agents can work in parallel and return to handle errors.
- Why more agents do not automatically mean higher efficiency.
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