Why AI Agents Forget Everything (and How to Build Ones That Don't)
Most AI agents today are stateless, even when they sound conversational.
You explain your background, clarify what you’re trying to accomplish, and correct the agent two or three times. Then the session ends, and all of that context disappears. The next conversation starts from scratch, as if the previous one never happened. That’s a big reason AI still feels like a disposable tool instead of a partner that understands you over time.
What’s missing is memory.
A useful AI agent should be able to remember past interactions, learn a user’s preferences, and adapt as their goals change. It also needs to know what’s worth keeping and what should be forgotten. The encouraging part is that building this kind of memory no longer requires a research lab. A small set of architectural patterns now works across foundation models and agent frameworks.
In this post, I’ll explain why memory leads to better...
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