Choose a personal knowledge tool by tracing the full life of your data—not by relying on a “private” label. Check where notes and memories are stored, what is sent to an AI model, whether sync or integrations create additional copies, and how you can inspect, export, and delete each one.
What does “private AI memory” mean in practice?
It describes a set of data flows, not one storage setting. A tool may keep its library on your device but send selected passages to a cloud model when you ask a question. Optional sync can transmit the library to other devices, and an agent integration can put retrieved information into a separate provider’s conversation.
Evaluate these separately: storage location, inference path, sync, connected sources, integrations, and the controls available for each copy. Vendor privacy pages are useful descriptions of a vendor’s product, but they are not independent security audits.
Seven checks before choosing a tool
1. Where is information stored?
Find out whether notes, indexes, and saved memories live on the device, in browser storage, in a vendor cloud, or in a combination. “Local-first” may mean local storage by default while optional sync still sends data through the vendor’s infrastructure. Ask how data moves between devices and whether the vendor can access relayed sync data.
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Identify whether inference runs locally, through an API key you provide, or through a managed cloud service. Ask what context is sent: a selected note, retrieved passages, a file, chat history, or even the current screen. Local storage does not establish local inference.
3. What counts as memory?
A tool may remember facts you explicitly save, generate summaries from conversations, search past chats, index files, capture screens or meetings, or retrieve data from connected apps. The broader the memory scope, the more important it is to see which sources are active and how to exclude one.
4. Can you inspect and correct it?
Look for a way to view individual saved items, edit inaccuracies, search the memory, and identify the source. Some assistants choose relevant context automatically, while some tools expose a database or saved-memory list. If you cannot see a memory, it is harder to correct or remove precisely.
5. What does deletion actually remove?
Distinguish deleting a chat from deleting a saved memory, connected file, source note, assistant, or account. Check whether derived indexes and synced copies are covered, whether the original source remains, and what the vendor says about propagation or retained logs.
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6. Can you export it and keep it usable?
Check that export is available in formats you can reuse, and whether it includes attachments, links, relationships, and other structures you rely on—not just plain text. Consider device migration and backup as well as export. Browser storage may be vulnerable to eviction, while cloud backup introduces a different trust and key-management question.
7. What can integrations access or transmit?
For each agent or plugin, check what it can retrieve, what becomes part of its conversation, and which actions require approval. A memory can remain on your computer while an agent sends the passages it retrieves to its own cloud provider.
How do built-in memory and dedicated knowledge tools differ?
The examples below are based on the vendors’ own documentation. Availability and controls can change, and the descriptions should not be treated as independent verification.
| Tool type and example | Storage and inference path | Controls and key limitation |
|---|---|---|
| Built-in assistant memory: ChatGPT | Memory may draw on saved memories and, depending on plan and platform, past chats, custom instructions, Library files, and connected apps. Its memory system selects relevant context rather than retaining every detail. | Users may be able to review, edit, or delete memory. Sources may need separate deletion; feature availability varies by plan, region, platform, and workspace settings. OpenAI Help Center: Memory in ChatGPT. |
| Local-first knowledge base: Constella | The vendor says notes, PDFs, indexes, and note connections are stored locally by default and usable offline. With sync on, data is relayed through its infrastructure. For AI questions, relevant snippets are sent for an answer and then discarded; the vendor says providers have zero-retention agreements and cannot train on inputs. | Exports to Markdown and standard canvas formats; controls cover notes, sources, and account deletion. End-to-end sealing for the sync tunnel is described as a roadmap item, so do not assume current relayed sync is unreadable to the vendor. Constella privacy information. |
| Browser-resident memory: Harness | The vendor says screen understanding and search run locally and remembered information resides in a private browser database. Questions requiring a language model send needed context, which can include the current screen; users can choose local inference, their own key, or managed inference. | View, edit, delete, and export controls are provided. Browser data can be lost under storage pressure, and persistent storage may not be granted immediately. The paid Resident feature adds encrypted cloud backup and device sync with a user-held key. Harness privacy information. |
| Local capture with connected agents: LUCI | The vendor says recordings, notes, and searchable memory stay encrypted on the user’s computer by default; certain structured secrets are masked before saving. Optional cloud features are opt-in, while anonymous product analytics are described as on by default and can be disabled. | Official integrations let agents such as Claude, Cursor, and Codex query memory, but retrieved material becomes part of the agent’s conversation and may go to that provider’s cloud. Deletion is available in LUCI or by removing the local data folder after quitting. LUCI privacy information. |
| Shared assistant memory: OpenAI Dots | OpenAI says Dots can receive memories and recent conversation context from ChatGPT, and Dot conversations can contribute to ChatGPT memory. | Turning memory off stops future sharing but does not delete information already received. Users currently cannot view or directly modify individual Dot memories; deleting a Dot removes its context, while related files and conversations are stored separately. OpenAI Help Center: Dots in ChatGPT. |
How do you keep AI memory private?
Start with the narrowest useful memory scope, then decide which network paths you accept. If cloud inference is acceptable, check precisely what context is sent and under which account or workspace settings. If it is not, verify that the tool supports local inference for the tasks you intend to use—not merely local storage.
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- Review integrations before authorizing them, and consider whether retrieved material will enter another provider’s conversation.
- Use inspection and correction controls to remove sensitive or inaccurate saved facts.
- Check model-improvement settings and workspace policies for the specific product and account type.
- Export important material and understand the backup method, its encryption, and who holds the key.
For personal ChatGPT accounts, OpenAI says chats and remembered information may be used to improve models when “Improve the model for everyone” is on; the setting can be turned off. OpenAI says content from ChatGPT Business, Enterprise, Edu, and ChatGPT for Healthcare workspaces is not used for model training by default. Temporary chats do not create or update memories, though saving one converts it to a regular chat. These statements apply to the named products, account types, settings, and current documentation—not to AI tools generally. See OpenAI’s Memory in ChatGPT documentation.
Independent reader supportYour contribution helps us test, update, and keep practical guides available for everyone.How do you test memory correction and deletion?
Use a harmless test fact rather than sensitive personal information. The goal is to learn whether the tool exposes the saved item and how its different copies are handled.
- Save a simple test fact and note whether you entered it manually or it was inferred from a conversation.
- Open the memory controls and locate the item. Check whether its source is identified.
- Edit the fact, then ask a question that would use it to confirm the corrected version is retrieved.
- Delete the saved item using the tool’s memory controls. Separately inspect and remove the source chat, file, or connected-app copy if you also want those removed.
- Check the vendor’s deletion and retention documentation for sync propagation, derived indexes, backups, and any stated delay or retained logs.
For ChatGPT, OpenAI explicitly warns: “Deleting a chat alone does not necessarily delete a separate saved memory created from that chat.” Its instructions may require deleting the memory and original chat, then checking other places such as regular or archived chats, Library files, and connected apps. OpenAI says deletion or update propagation can take time and that logs of deleted saved memories may be retained for up to 30 days for safety and debugging. Consult the current Memory in ChatGPT help page for the applicable controls.
What should your shortlist worksheet include?
Write down your requirements before comparing products. A tool that is suitable for searchable meeting notes may be a poor fit if you need manually controlled facts or an easy, complete migration.
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- Workflow: What do you want the tool to remember—notes, conversations, files, meetings, screens, or connected apps?
- Acceptable processing: Is managed cloud inference acceptable, or do you require local inference or your own API key?
- Devices and sync: Which platforms do you use, and is vendor-relayed sync acceptable?
- Control: Must you be able to inspect, edit, and delete individual memories and identify their sources?
- Exit plan: What export formats and relationships must survive a move to another tool, and how will you back them up?
- Administration: Does your plan, region, or workspace administrator affect feature availability or data settings?
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