Privacy & memory
What should your AI remember about you?
Memory can make an assistant more useful. It can also preserve details you shared casually, long after you intended.
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A place to connect questions about ChatGPT with user priorities, source material, and possible future responses.
ChatGPT is an application built around models, instructions, tools and account settings. A useful safety review asks both how it is intended to answer and what information or authority the application gives it. This profile covers that product-level distinction, without treating every ChatGPT experience as one fixed model.
Imagine using ChatGPT to draft a job application. A remembered writing preference can be helpful; an old employer or an inferred personal detail may be wrong. Inspect the final letter, correct the underlying context where possible, and review which files are attached before sharing it.
Memory can make an assistant more useful. It can also preserve details you shared casually, long after you intended.
An update can change how a familiar assistant responds. Users may need enough information to adapt their workflows.
A useful response from the provider would identify the applicable product and controls, explain known limitations, and connect any promised improvement to a way of checking the outcome.
This is not a release-specific jailbreak test, privacy audit or inventory of every plan’s controls. Availability and data handling can differ between personal, organizational and API contexts.
The sources behind this page, with a reason to open each one. Practical examples and recommendations are our editorial interpretation.
The provider’s intended behavior and instruction hierarchy; a policy is not proof of consistent behavior.
Explains memory controls and deletion. Check which experience and settings apply to your account.
Practical guidance on tool permissions, memory isolation, oversight and agent failure handling.
Sources reviewed 13 September 2026. Product documentation can change. How we use evidence