Organizations are moving beyond single-model AI toward multi-agent architectures. In these systems, agents offload intermediate results to files rather than carrying everything in the prompt, because a large prompt inflates cost and degrades quality. A model’s context window is finite, so files become working memory that persists after a session ends.