This is what spaced repetition gives you.
According to his theory, the mind has essentially infinite capacity for memories, but we have only a finite amount of time in which to search for them.
The key to a good human memory then becomes the same as the key to a good computer cache: predicting which items are most likely to be wanted in the future. That it’s a perfect tuning of the brain to the world, making available precisely the things most likely to be needed.
In putting the emphasis on time, caching shows us that memory involves unavoidable tradeoffs, and a certain zero-sumness. You can’t have every library book at your desk, every product on display at the front of the store, every headline above the fold, every paper at the top of the pile. And in the same way, you can’t have every fact or face or name at the front of your mind.
“Many people hold the bias that human memory is anything but optimal,” wrote Anderson and Schooler. “They point to the many frustrating failures of memory. However, these criticisms fail to appreciate the task before human memory, which is to try to manage a huge stockpile of memories. In any system responsible for managing a vast data base there must be failures of retrieval. It is just too expensive to maintain access to an unbounded number of items.”
From the book: Algorithms to Live By.