The idea is actually simple,
Look, what does a person do if they make a mistake? Right, they remember it and try to do it differently next time. But LLMs can't do that. Yes, we already have global memory in ChatGPT, but from the perspective of thinking patterns, every new model query is still treated as the first.
Google's approach is called ReasoningBank. It's like a memory block that distills strategic knowledge from past actions.
That is: a dialogue with a user happens -> we call a special judge-agent who evaluates how well the task was solved -> we log this experience with notes on what worked best and worst and why. The output is a structured "memory" with fields Title, Description, and Content.
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