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Stop capture first, then delete what was already stored. In Pieces Desktop, go to User Profile > Settings > Long-Term Memory and disable the Long-Term Memory Engine. If you need memory for other work, block only the sensitive application with App Access Control or the proactive deny list. Then open Stored Data and use Clear Long-Term Memory Data, choosing the relevant time period, capture method, and application source.
Other memory-enabled apps use different controls. A memory toggle may stop future saving without removing existing entries, and deleting a conversation may not delete a separately stored memory. Identify the exact app, platform, account type, and version before following product-specific steps.
1. Identify exactly what is saving the information
“Workflow memory app” can describe a desktop assistant that observes applications, an AI chat service with saved memories, a browser extension, or a managed workplace tool. The correct deletion and prevention controls depend on which one you use.
- Product: Record the exact product name, not just the company or operating system.
- Platform: Check whether you use a desktop app, mobile app, browser extension, or web interface.
- Account: Note whether the account is personal, team-managed, or controlled by an organization.
- Version: Open the product’s About or Help screen and note the installed version. Labels and available controls can change.
- Data location: Determine whether the product stores memories, conversation history, synced workspace data, or local indexes as separate categories.
Do not handle additional passwords, medical details, financial records, personnel files, or other sensitive material until capture is disabled or the sensitive source is blocked.
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2. Stop new capture before doing anything else
Stopping future capture and deleting existing information are separate actions. Perform the prevention step first so that cleanup does not run while new material is still being indexed.
Pieces Desktop: turn off all long-term memory
- Open User Profile.
- Select Settings.
- Open Long-Term Memory.
- Turn off the Long-Term Memory Engine.
Pieces documents this as a complete stop for the feature: “When disabled, Pieces won’t capture or use workflow context.” The setting prevents both capture and use of workflow context while it remains disabled. If your interface offers a pause instead of a permanent off switch, use the pause for a defined interval only when you understand when it will end; otherwise leave the engine disabled until cleanup is complete.
Pieces Desktop: protect only a sensitive application
If you want long-term memory for ordinary work but not for a banking portal, password manager, healthcare site, or HR system, use an application-level control instead of disabling the engine globally.
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- Review App Access Control and block the sensitive application.
- For an application Pieces has not yet seen, add it to the proactive deny list before opening or using it.
- Confirm the application appears as blocked, then restart the workflow if the product asks you to apply the change.
Pieces distinguishes ordinary App Access Control from its proactive deny list. Its documentation says the normal control manages apps Pieces has already seen, while the deny list can preemptively block any app so Pieces never captures data from it in the first place. This is the safer choice when an application contains information that must not enter the memory system.
Other memory-enabled products
Look for settings named Memory, Saved memory, Personalization, Context, Activity capture, or Data controls. Read the setting’s description carefully. Some switches stop a service from using memory in future responses but do not prevent every form of conversation retention; others affect only one chat or workspace.
OpenAI documents Temporary Chat as a session mode that does not create or update memories. Use it before sending sensitive content, not after. Claude allows memory to be turned off for an individual chat, and its instructions say to set that option before sending the first message. A chat that was started with memory enabled may already have produced a memory entry.
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3. Understand what each control actually changes
Do not treat every “memory off” label as equivalent. Before relying on a setting, establish whether it blocks capture, stops later use, applies temporarily, and removes existing information.
| Control type | What it can change | What you must still verify |
|---|---|---|
| Global engine disable | Stops the product’s memory feature across supported workflows. In Pieces, disabling Long-Term Memory stops capture and use of workflow context. | Whether other logs, chat history, telemetry, or workspace retention continue separately. |
| Timed pause | Temporarily suspends capture while the pause is active. | When the pause ends and whether it resumes automatically. |
| Per-app access control | Restricts a named application that the product already recognizes. | Whether the rule covers every account, browser profile, and window for that application. |
| Proactive deny list | Blocks a named application before the product captures data from it, where supported. | Whether the correct executable, domain, or app profile was added. |
| Temporary or individual-chat mode | Limits memory behavior to one session or conversation. OpenAI says Temporary Chat does not create or update memories. | Whether the mode was enabled before the first message and whether separate history is retained. |
| Memory toggle in a service | May stop future memory creation or use. | Whether old memories are deleted automatically. Plaud states that turning Memory off does not delete existing memories. |
4. Delete information that was already saved
Pieces Desktop stored-data cleanup
- Open User Profile > Settings.
- Go to Stored Data.
- Select Clear Long-Term Memory Data.
- Choose the relevant time period.
- Choose the relevant capture method.
- Choose the affected application source.
- Review the scope before confirming deletion.
The time, capture-method, and application-source filters let you remove the sensitive subset instead of wiping unrelated memory. If you cannot identify the correct source or period, use a broader scope rather than assuming a narrow filter found everything. Keep the Long-Term Memory Engine disabled while you perform the cleanup.
AI chat services: delete memory separately from chat history
Some services store a saved memory as a separate record from the conversation that caused it. OpenAI documents that saved memories are stored separately from chat history; deleting the original chat does not automatically delete the separate saved memory. Therefore, inspect the service’s saved-memory or personalization list and remove the entry there, then delete the source conversation if your retention policy requires that as well.
Claude documents a similar limitation: memory entries related to expired or deleted conversations are not automatically removed. Deleting a conversation is therefore not proof that its extracted memory has disappeared. Review the memory area directly and remove the relevant entry.
For a service with an account-wide memory setting, look for a separate Manage memories, View saved memories, or equivalent screen. If the product offers only a global delete operation, read the confirmation carefully so you know whether it removes all memories or only the selected item.
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A memory record may not be the only copy. Check whether you exported conversations, copied snippets into notes, synced the app to another device, or connected it to a team workspace. Remove those copies according to the storage product’s own controls. If an administrator manages the account, ask which retention system receives deleted records and whether a formal deletion request is required.
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5. Verify that sensitive material is no longer available
Verification is especially important when the information involved credentials, regulated records, or another person’s private data. Use the product’s own search and management screens rather than assuming that a successful confirmation message removed every related item.
- Search the saved-memory list for distinctive words, names, project identifiers, or phrases from the sensitive material.
- Check both the application-specific source filter and the broader time range used during deletion.
- Review conversation history separately if the product stores it independently.
- Check connected devices or browser sessions for synchronized memory views.
- Sign out and back in, or restart the application, if the interface appears to show stale cached results.
- If a password, access token, recovery code, or API key was exposed, revoke or rotate it even after deletion. Removing a memory record cannot undo a credential that another system may already have received.
- For regulated or employment data, follow your organization’s incident and retention procedure instead of relying only on a personal setting.
Do not test a sensitive source by opening it again while capture is uncertain. If you must confirm that blocking works, use harmless sample text in a non-sensitive application and inspect the resulting memory behavior.
6. Use the right prevention method for your situation
| Situation | Preferred action | Reason |
|---|---|---|
| You never want workflow memory to operate | Disable the global memory engine and clear stored data. | A global stop reduces the chance that an overlooked application remains enabled. |
| You need memory for ordinary work but not one sensitive app | Use a proactive deny list when available; otherwise use per-app access control. | It preserves normal workflows while blocking the named source. |
| You need a one-off private AI conversation | Start a Temporary Chat or enable the service’s individual-chat memory-off mode before sending the first message. | The control is applied before content is processed. |
| You already sent sensitive content | Disable capture, delete saved memories, remove source conversations, and rotate exposed credentials. | Prevention alone cannot remove an item already stored. |
| You use a managed workspace | Check administrator policies and contact the administrator if the setting is missing. | Workspace retention or plan controls may override personal options. |
7. Protect high-risk applications by default
Build a deny-list policy before an incident occurs. Common high-risk sources include:
- Password managers and authentication tools
- Banking, payment, and investment applications
- Healthcare portals and clinical-record systems
- Human-resources and payroll systems
- Legal case-management systems
- Customer databases containing personal information
- Source-control, production, or infrastructure consoles containing secrets
- Private messaging and confidential document applications
Use the narrowest rule that reliably covers the source. Blocking only a browser tab may not protect a desktop client, a second browser profile, or a companion application. If the product’s controls are application-based, add every relevant executable or client rather than assuming one rule covers all variants.
8. Troubleshoot common failures
The memory toggle is unavailable
Check whether you are using the correct platform and account. A control may exist on desktop but not mobile, or for an individual account but not a managed workspace. Update the application only through your organization’s approved process, then consult the product’s current instructions. If an administrator controls the setting, request the policy change from that administrator.
The app still recalls information after memory was disabled
Determine whether the response came from an existing saved memory, ordinary chat history, a connected document, or a cached local index. Disable capture, inspect each storage category, and remove the relevant item. A memory switch that stops future saving does not necessarily erase old records.
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A blocked application still appears in activity
Confirm that you used the proactive deny list when the application had not previously been seen, or the regular App Access Control list when it had. Check the exact app identity, browser profile, and account. Reopen the settings and verify that the rule is enabled rather than merely listed.
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Deletion appears incomplete
Repeat the review using a wider time period and all relevant capture methods and application sources. Then inspect saved memories and conversation history separately. If the data belongs to a managed workspace, ask whether retention, backup, or legal-hold policies limit immediate removal.
You cannot tell whether a credential was exposed
Act conservatively: revoke the credential, issue a replacement, invalidate active sessions, and review access logs where available. Treat deletion from the memory app as only one part of the response.
9. A repeatable privacy checklist
- Identify the exact product, platform, version, and account type.
- Stop global capture or block the sensitive application before opening it again.
- Use a temporary or individual-chat mode before entering one-off sensitive content.
- List every category that may contain a copy: saved memory, conversation history, local data, exports, and synchronized workspace records.
- Delete stored memory with the narrowest accurate filters, then inspect the broader categories.
- Verify that distinctive terms no longer appear in memory-management screens.
- Rotate credentials and notify the appropriate administrator when secrets or regulated information were involved.
- Keep high-risk applications on a deny list and review the rule after product updates.
10. Compare controls before relying on them
When evaluating a memory product or deciding which setting to use, compare the controls on five separate questions rather than looking only for an “off” switch.
| Question | Why it matters |
|---|---|
| Does it disable memory globally or block only one application? | A global setting is simpler and less likely to miss a source; an app rule preserves memory for ordinary work. |
| Does it prevent capture or only stop later use? | A feature that stops responses from using memory may still allow the service to retain incoming content. |
| Is the control temporary or persistent? | A timed pause can end automatically. Confirm the end time before handling sensitive material. |
| Are old records deleted automatically? | OpenAI, Claude, and Plaud document separate behavior for memories, chats, and deletion. Treat cleanup as a separate task unless the product explicitly says otherwise. |
| Can a plan, region, platform, or administrator change availability? | The same account may show different controls on desktop, mobile, or a managed workspace. |
Record which control you used and whether it was global, app-specific, or session-specific. This makes a later review easier after an application update or account-policy change.
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11. Check account and retention boundaries
A personal setting may not control every copy of the data. Before assuming the cleanup is complete, determine whether the account is linked to a team workspace, another device, or a synchronization service. Workspace administrators may set retention rules, restrict memory controls, or require a formal deletion request. Plan and regional differences can also affect which settings appear.
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- Confirm whether the same account is signed in on desktop, mobile, and browser sessions.
- Ask whether the workspace administrator can view, retain, or restore the relevant records.
- Check the product’s current help page for platform-specific limitations before relying on a setting.
- Keep a note of the date, product version, and scope of the deletion so you can explain exactly what was removed.
If a required control is missing, stop sending sensitive content through that workflow and ask the administrator or provider for the supported deletion path. Do not infer that an unavailable button means the data was never captured.
Bottom line
Preventing future capture and removing past data require different controls. For Pieces Desktop, disable the Long-Term Memory Engine or block the sensitive application with App Access Control or the proactive deny list, then clear Long-Term Memory Data by period, capture method, and source. In other products, use the app’s dedicated memory controls and separately delete saved memories and source conversations. Never assume that turning memory off, closing a chat, or deleting a conversation alone removes information that was already stored.
Frequently Asked Questions
Does turning off memory delete information already saved?
Usually not. Disable capture first, then open the product’s saved-memory or stored-data controls and delete existing entries separately. Plaud explicitly says turning Memory off does not delete existing memories.
How do I stop Pieces Desktop from capturing one sensitive app?
In Long-Term Memory settings, use App Access Control for an app Pieces has already seen. Add an unseen app to the proactive deny list before using it; that list is designed to block capture in advance.
Will deleting an AI chat remove its saved memory?
Not necessarily. OpenAI says saved memories are stored separately from chat history, and Claude says memories tied to expired or deleted conversations are not automatically removed. Delete the memory entry and the source chat separately.
What should I do if a password or API key was captured?
Disable capture, delete the stored memory and related source records, then revoke or rotate the credential and invalidate active sessions. Deleting the app record cannot undo exposure elsewhere.
Why can’t I find the memory setting?
Check the exact product, platform, account type, and version. Availability can differ by desktop versus mobile, plan, region, or managed-workspace policy. Contact the administrator when the workspace controls the setting.
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Only if you know when it ends and confirm it remains active for the entire task. A persistent global disable or proactive app block is safer when the material must not be captured.
The Bottom Line
Stop capture before handling sensitive content, then delete saved memories and related source records separately. In Pieces Desktop, disable Long-Term Memory or use App Access Control and the proactive deny list, followed by Stored Data cleanup.
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