AI agents need memory scaled to task complexity, context limits, and retrieval strategy. The piece breaks down trade-offs between context windows, external stores, and RAG-style augmentation for reliable, cost-effective agent behavior. It helps developers decide when to rely on model context versus persistent memory layers.
Opening Kapyn…