Claude's new memory feature solves my biggest AI frustration — here are 5 prompts to try first
Anthropic just upgraded Claude's memory across Chat and Cowork. Use these five copy-paste prompts to see what it remembers and test its limits.
Claude's newest memory feature addresses a common AI frustration: constantly re-explaining personal preferences and context. Unlike static custom instructions, Claude can learn about users as they chat, retaining information across regular chats and Cowork projects. Users can manage their memories via the settings menu, organizing them by topic and editing or deleting entries as needed.
To make the most of Claude's memory, users can pose specific prompts to gauge what the AI already knows about them. By asking Claude to list five most useful things it knows about the user's work preferences and what matters to them, users can quickly identify relevant information and help Claude understand their work style better. Asking Claude to pinpoint three pieces of context that users are tired of repeating allows the AI to suggest future responses without requiring users to repeat information.
Claude's memory is also useful in initiating new projects. By prompting Claude to suggest how to approach a new project based on users' previously remembered preferences, users can determine if Claude's memory enhances the answer or merely regurgitates assumed facts. Users can then provide the actual project details, enabling Claude to generate more tailored responses.
The prompts also allow Claude to identify and fill gaps in its knowledge about users' preferences, routines, and goals. Users can ask Claude to suggest five aspects that would make it more useful if remembered, giving Claude the opportunity to learn and adapt. However, privacy is a concern, as Claude won't save sensitive information by default. Users can choose to enable sensitive topic tracking in Claude's settings and audit its memory periodically to ensure it remains relevant and accurate.
Written by urgent.news from Tom's Guide's reporting — not their text. Machine-written — may contain errors; check the original before relying on it.