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You spent twenty minutes explaining your preferences to a chatbot, closed the tab, and tomorrow it has no idea any of that happened.
What you'll have at the end
The same assistant opening a brand new conversation already knowing a fact you told it in a session that ended yesterday
You need
You have a chat assistant that already sends the current session's messages to an LLM API, a stable id for who's talking, and a database table or file store outside that session where you can write and read rows that survive after the process exits.
Not covered
Retrieving from a memory store too large to skim by eye, and syncing memory across more than one agent, are separate techniques for once the fact list outgrows a flat lookup; this covers the minimum loop that carries one fact from a closed session into tomorrow's system prompt.
Leans on
Compact old turns before your context window overflows
When what's overflowing is one long active conversation's token budget, not a fact that needs to survive after the tab closes, compact the live history instead of persisting facts.
Keep a running scratchpad through one long session
When what's slipping is progress through a single session's own multi-part task, not a fact that should outlive the session, a scratchpad solves that directly.
Chatbot won't drop the old topic
When the same open conversation just needs to let go of an earlier topic, not carry a fact forward to tomorrow, resetting that topic is the smaller fix.
Checked 15 Aug 2026
Part of the Context Engineering cookbook