AI Memory Is Not Just a Bigger Context Window
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Every LLM call starts from zero. The context window is working memory for a single session, and when that session ends it is gone. That is why so many "smart" assistants feel forgetful by the third message. Real memory is a design problem, not a size problem. It comes down to three decisions: What to persist after the conversation ends What to retrieve at the right moment, without dumping everything back into the prompt What to let decay , so stale detail does not crowd out what actually…
1Key Takeaways
- The context window is working memory for a single session, and when that session ends it is gone.
- That is why so many "smart" assistants feel forgetful by the third message.
- Real memory is a design problem, not a size problem.
- It comes down to three decisions: What to persist after the conversation ends What to retrieve at the right moment, without dumping everything back into the prompt What to let decay , so stale detail does not crowd out what actually….
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3Why it matters
Coding AI shifts how fast software ships and how much human review each change needs. DEV — ML reports that the context window is working memory for a single session, and when that session ends it is gone.
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