How to find and manage Meta AI chat history

Find earlier Meta AI conversations in the history tab in the standalone app or on the web. Meta documents↗ (opens in a new tab) continuing chats between those two surfaces, plus a limited handoff from supported glasses; that does not establish one complete archive across every Meta app. When a chat contains useful work, keep its conclusions separately too. fenbs can hold the decisions, unfinished tasks, and next step so you can continue in another AI without searching the transcript again.

Where should you look for an earlier conversation?

Begin with the standalone Meta AI app or website if that is where you had the conversation. The vendor calls the navigation point the history tab. Its public announcement does not specify a universal search box, folder structure, or bulk-export menu, so use the documented history entry rather than looking for an invented control.

1. Return to the app or website where you remember having the exchange. Confirm you are using the intended account.
2. Open the history tab and look for the earlier conversation.
3. Open the likely chat and check its actual contents. A familiar subject alone is not enough to identify the correct exchange.
4. Read the last useful messages before adding a follow-up, so you can distinguish the earlier conclusion from an unfinished suggestion.

Treat finding a chat and trusting its contents as separate checks. An old answer can be easy to retrieve and still need correction. For example, a suggested next step may have become irrelevant after a person made a different choice outside the conversation.

Which conversations can continue between devices?

Meta’s published app description supports continuing conversations between the standalone app and web in both directions. It also describes accessing a conversation started on glasses from the history tab in the app or web. The glasses handoff was described for some countries, rather than as a complete current country-and-device guarantee.

The same announcement states a one-way limit: a conversation started in the app or on the web cannot be picked up on glasses. Check the documentation for your current device and location before depending on a glasses handoff for important work.

Do not extend the app-and-web statement into a promise that WhatsApp, Messenger, Facebook, and Instagram all expose an identical archive. The sources here do not establish that. If your exchange began inside a messaging app, start there; using Meta AI in WhatsApp addresses that separate surface.

A practical check is to use a harmless test conversation before relying on continuity. Reopen it where the vendor documents a handoff and inspect the last message. Write down any boundary you find instead of assuming that an account link makes every conversation available everywhere.

How is history different from memory?

History is the conversation you reopen. Memory is selective information the assistant may use later. Meta says you can ask its assistant to remember details and that it can pick up important information from context. That is different from promising verbatim recall of every message.

Meta’s personalization explanation↗ (opens in a new tab) describes remembered details in one-to-one conversations and says memories can be deleted. It does not establish a current exact settings path in the sources available here. Do not assume deleting or changing a remembered detail is the same operation as managing a transcript.

When exact wording matters, find the conversation or keep the approved wording somewhere you control. Asking “What did we agree?” can produce a helpful summary, but you should compare it with the actual exchange. Prompts for Meta AI covers how to ask useful follow-ups without making a summary your only record.

Does using history post your chat to Discover?

Meta says sharing to the Discover feed is voluntary: nothing is posted unless you choose to post it. Reopening a conversation and choosing to share a prompt are different activities. Do not interpret the existence of a social feed as evidence that all retained conversations are public.

Before deliberately sharing anything, read the material you are about to publish and remove information that belongs only in your own work. That is a recommended review step, not a claim about additional privacy controls. Keep source material and audience in mind even when the output looks like a harmless example.

For work involving marketing drafts, save the version someone approved separately from the exploratory chat. The Meta AI marketing guide covers that use case. History helps you revisit ideas; it does not by itself tell a teammate which idea became the final decision.

Can you export or delete the whole history?

The vendor sources used here do not establish a complete chat-download procedure or exact current history-deletion controls. A document export mentioned in Meta’s announcement concerns generated documents; it is not proof that every conversation can be exported in the same way. Do not go looking for a PDF button as a guaranteed transcript-download route.

For current account controls, use the Meta AI Help Center↗ (opens in a new tab). Before taking a destructive action, read what the control actually removes and whether it covers the conversation, remembered information, or another part of the account. If the help page does not answer, resolve that uncertainty before relying on deletion for an important requirement.

You can still preserve useful work deliberately: review the chat, write a short account of the conclusion, check it against the exchange, and keep the next action with it. This is a manual work habit, not an automatic Meta AI export or a fenbs import feature.

How to keep useful chat results with fenbs

Keep the part you need to carry on from exactly where you left off, on any device and in another AI. For a research conversation, that might be the checked sources and the unanswered question. For a draft, it might be the approved wording, the person’s decision, and the change still needed.

1. Create a free account.
2. Add a task for the work you want to continue.
3. Write the conclusion you checked, the next action, and any question still waiting for you. Keep private conversation details out.
4. Before starting with another assistant, give it that short record. Before stopping, update what changed and where to begin next time.

fenbs does not read or import your Meta AI history. It keeps the work you choose to save. If you only want to reread a casual chat, the app’s history may be sufficient. For work that crosses chats and people, how fenbs works explains the shared record. Explore more everyday workflows in AI at work, or compare the assistant experiences in ChatGPT vs. Meta AI.