AI agents do not just need better memory.. They need a layer in between the task and acting on it
A lot of agent systems still collapse the process into:
input → execution
But in human teams, the useful part often happens before action like understanding the task, filtering context, recognizing prior history, considering role/identity, and deciding what actually matters.
That missing layer is why many agents can act, but still do not feel like competent collaborators.
My view is that this is less a prompt engineering problem and more an architecture problem. Curious whether others see this as mainly a memory problem, a planning problem, or something closer to identity/state management.
u/MegaWa7edBas — 1 day ago