First, I only say this because of what I learned as a phD inhuman memory, not as someone who authors agentic workflows or does AI.

How human cognition tends to work by simultaneously utilizing and combining/separating multiple frequency scales of information. A simple way of thinking about is this: We tend to encode and retrieve both the gist of what is happening, and the verbatim details of what happened. The gist can be thought of as low frequency information, almost like bullet points, that contain the big overview goal, keypoints). The verbatim traces, are the high resolution memory that contains all the details. The gist helps encoding and recall by providing encoding and retrieval context cues. There are also levels in between those two, but I was keeping it simple. During human development, verbatim memory capacity increases first, but then hits a wall/plateau. Further performance increases begin to depend on the ability to utilize and gain from gist-like representations that can guide encoding and retrieval of verbatim details within contexts.

You don't need to keep everything in the context window. My untested, perhaps naive hypothesis is that what is needed is that sub-agents dealing with verbatim tasks (actually writing code), their context window should be managed by an agent above that is tuned to information at a lower frequency, and it by another above it on even lower frequency information. Lowest frequency information context windows feel up slowly. High-frequency information fills up fast. Use the low frequency information to retrieve the needed high frequency information.