LLM memory strategies: how to make ChatGPT, Claude, Perplexity, and Gemini remember the right things
Native memory is becoming more capable, but a dependable business memory system still needs instructions, curated project knowledge, source records, review rules, and an exit plan.
What matters today
Native memory is becoming more capable, but a dependable business memory system still needs instructions, curated project knowledge, source records, review rules, and an exit plan.
Key points
- Separate stable context from current business facts.
- Put company rules globally and client details in Projects.
- Treat dated files as the source of truth.
- Remove stale or sensitive memories every month.
- Add shared memory only when several tools need it.
Article roadmap
What you will learn
-
The difference between a context window, saved instructions, project knowledge, chat history, and durable memory
-
How memory works in ChatGPT, Claude, Perplexity, and Gemini
Free subscriber access
Keep reading with your free PromptHacker subscription.
Enter the email on your PromptHacker subscription. If access is available, a secure link will arrive in that inbox.
New to PromptHacker? Join the free weekly briefing first.
Three deep dives. Four useful moves. One email worth opening.
PromptHacker turns the AI firehose into practical next steps for work, health, family, and everything time keeps trying to steal.