✓ ReviewedLast updated June 25, 2026 by Florian Schröder
BLUF: ChatGPT can use memory to make web searches more relevant. When Memory is enabled, details from saved memories or past chats may influence the search query and the answer. Users can review, correct, disable, or delete memory and can use Temporary Chat when they do not want memory applied.
OpenAI introduced Memory with Search in April 2025. The feature allows ChatGPT to use relevant memories when it formulates queries for third-party web search providers. This means the same broad request can produce different search behavior when ChatGPT knows useful context such as a location, dietary preference, project, or recurring goal.
The important distinction is that memory does not replace web search. ChatGPT still searches external sources when search is used; memory can help shape the query and personalize how the results are presented.
According to OpenAI’s release notes, ChatGPT can use memories to inform the search queries it sends when searching the web. A remembered preference can therefore add context that the user did not repeat in the current prompt.
For example, a general request for restaurant recommendations may be interpreted differently if ChatGPT remembers a dietary preference and a location. The useful part is reduced repetition. The trade-off is that remembered context can sometimes be outdated, irrelevant, or too influential for the current task.
Saved memories and chat history are different
Saved memories are details ChatGPT stores for future conversations. Users can explicitly ask ChatGPT to remember information, and ChatGPT may also save details it considers useful when the feature is enabled.
Reference chat history allows ChatGPT to draw on relevant information from previous conversations. OpenAI states that it does not retain every detail from past chats and that remembered information can change as the system updates what is useful.
OpenAI began rolling out a newer memory system in 2026 that automatically updates its synthesis of relevant context. Availability and controls vary by plan, country, device, and rollout stage, so the current settings shown in an account are the authoritative source for that user.
How memory changes web search
Memory is most useful when the missing context is stable and relevant. Examples include preferred programming languages, accessibility requirements, dietary constraints, a home region, or the goal of an ongoing project.
It is less reliable when the remembered detail is temporary. A previous travel destination, short-term budget, or abandoned project can steer a new search in the wrong direction. Users should state important constraints explicitly when accuracy matters instead of assuming memory will select the right context.
Privacy and user controls
Memory can contain information a user has shared in chats, files, or connected apps where those capabilities are available. OpenAI provides controls under Settings > Personalization > Memory, although labels and options may vary during rollout.
Turn memory on or off.
Review and edit the memory summary where available.
Delete individual memories or turn memory off.
Disable reference to chat history.
Use Temporary Chat to avoid using or creating memories for that conversation.
Deleting a chat and deleting a saved memory are not always the same action. OpenAI’s Memory FAQ explains that complete removal may require deleting both the saved memory and the chat where the information was originally shared.
When to use Memory with Search
Scenario
Recommended approach
Recurring personal recommendations
Memory can reduce repeated context, but verify that preferences remain current.
Ongoing research project
Use a dedicated project and restate critical criteria in the prompt.
Sensitive or one-off question
Use Temporary Chat or disable memory for the conversation.
High-stakes research
State constraints explicitly and inspect the cited web sources.
Shared or team account
Use organizational controls and avoid storing personal context unnecessarily.
Practical prompting recommendations
A good prompt separates remembered preferences from task-specific requirements. For example: “Use my usual preference for concise answers, but ignore previous location information. Compare the current options for Berlin and cite the official sources.”
When a result seems unexpectedly personalized, ask which memory or source influenced the answer. OpenAI’s newer memory experience can show memory sources for some accounts, helping users understand and correct the context that was applied.
Limitations
Memory can be stale, incomplete, or irrelevant to the current request.
Feature availability and controls differ by plan and region.
Personalization does not guarantee that web results are accurate.
Search citations still need to be checked, especially for consequential decisions.
Temporary Chat is the safer choice when personalization is not wanted.
Editorial verdict
Memory with Search is useful because it reduces repetitive prompting and can make broad searches more relevant. It should be treated as optional context, not as an authoritative user profile. For important research, explicit instructions and source verification remain more reliable than passive personalization.
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