MEMORY.md Every Turn? That’s Noise, Not Memory.

Large language models require explicit history feeding, as they don't retain memory inherently. Common methods like expanding context windows or pasting fixed memory every turn prove inefficient and problematic at scale, leading to increased cost, slower inference, and reduced quality.