Andrew Ng Advocates Graph-Based Memory for AI Agents

Andrew Ng argues that longer context windows cannot solve AI agent memory issues, advocating for a shift from loops to graphs. This approach is proven more reliable in handling real-world data conflicts compared to traditional context-stuffing or RAG methods.

2026-07-26 ~ 2026-07-27 · 2 related posts

• Agent memory worked better as a statement graph than as a bigger context window — chrislally · 2026-07-26
• Andrew Ng memo argues agent memory needs graphs, not bigger context windows — solyarisoftware · 2026-07-27