Most AI systems lose all memory between sessions unless you explicitly save context, which means they can't recall what you discussed yesterday or earlier in a conversation if the thread gets long enough. The practical solution is treating each session as separate and feeding back key information or documents as needed rather than relying on the AI to remember.
Most AI tools do not retain information between separate conversations, and even within a single session, they can lose track of earlier details as the chat grows longer — a structural limitation called statelessness.
Knowing this prevents frustrating misunderstandings and teaches practical habits like re-providing key context, using conversation summaries, and choosing AI tools with memory features when continuity across sessions is essential.
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