Does Gemini have memory?

Yes — Gemini has a 'saved info' layer (opt-in), Workspace-wide context that pulls from your Gmail, Docs, Drive and Calendar when Personalized results are on, and per-chat memory inside long conversations. It's the deepest personal integration of any consumer AI, and also the murkiest.

Is there a memory cap in Gemini?

The 'saved info' layer has a soft cap similar to ChatGPT's — heavy users hit it. The Workspace-level context has no cap because it isn't stored as memories; it's queried from your actual Google data at retrieval time.

Why does Gemini know things I never told it?

If Personalized results are on, Gemini can pull from your Gmail, Calendar, and Drive. It's not making things up — it's reading real data you already gave Google. If this feels invasive, turn it off in Activity Controls.

How do I delete Gemini memory?

Two places. The 'saved info' panel deletes explicit memories. Google Activity → Gemini Apps Activity deletes conversation history. Neither removes what Gemini can pull from your live Workspace data — for that, adjust Personalized results in Activity Controls.

Can Gemini remember across devices?

Yes, because memory is tied to your Google account, not the device. That's the strength and the weakness — you get continuity everywhere, but anywhere signed into your Google account can influence what Gemini 'knows' about you.

Is Gemini's memory better than ChatGPT's?

For breadth, easily — no other consumer AI has the depth of Google Workspace context. For precision and edit-ability, ChatGPT's saved memory panel is cleaner. And for portability, both are equally locked-in — you can't take Gemini's context to Claude any more than you can take ChatGPT's.

Vendor guide · 9 min read

Gemini memory: the complete guide

Gemini's memory model is the strangest of the major AIs — deeper than ChatGPT's in some ways, shallower in others, and pulling from places most users don't realize. Here's the honest breakdown of the three layers and how to configure them.

Concentric rings of information radiating from a central Gemini glyph

Layer 1: Saved info

The most ChatGPT-like layer. Explicit facts Gemini has saved about you — "prefers concise answers," "based in Seattle," "working on a startup called X." Editable in Settings → Saved info. Same shape, same soft cap, same silent eviction as ChatGPT's memory panel. Keep it pruned.

Layer 2: Workspace context (Personalized results)

This is where Gemini diverges from everyone else. When Personalized results are on, Gemini can pull from your live Gmail, Calendar, Drive, and Docs at the moment of the query. It's not storing that data as "memories" — it's reading the real thing when it decides the query calls for it.

The upside: extraordinary continuity. Gemini can genuinely "remember" you have a flight tomorrow because it's reading your Google Calendar, not because it saved a note.

The downside: no visibility into what's being pulled on any given turn. And it means anyone with access to your Google account is effectively feeding your Gemini "memory," even if they never touched Gemini.

Layer 3: Per-chat memory

Standard rolling context window inside a single Gemini chat. Larger than most competitors', but still finite. Older turns slide out as new ones come in. Nothing you say in a chat is "saved" unless it gets promoted to Layer 1 (Saved info) or the chat is referenceable via history.

Configuring for continuity without over-sharing

Decide whether you want Workspace context on. It's the biggest single lever. On = maximum continuity, less privacy. Off = ChatGPT-equivalent behavior with a cleaner conscience.
If Workspace context is on, audit which Google services Gemini can access. You can scope this in Google Activity Controls — Gmail-only is a common middle-ground.
Prune Saved info regularly. Same eviction logic as ChatGPT applies.
Use Gems (Gemini's custom-persona feature) for repeated task types. Gems have their own instruction blocks that persist inside the Gem — closer in feel to Claude Projects than to ChatGPT memories.

The portability problem

Every layer above is Google-only. Nothing Gemini knows about you can be exported into a form Claude, ChatGPT, or a future AI can use natively. That's the price of Layer 2 — the depth comes from Google integration, which is exactly what makes it non-portable. If you rely on Gemini heavily and don't want to lose that context the day you try a different AI, keeping a canonical persona export outside any one provider is the escape hatch. Related reading: how to export Gemini memory and what happens when Gemini memory is full.

Never lose your AI again

Konshus is one way to solve this — a persistent memory vault and portable persona that follows you across ChatGPT, Claude, Gemini, and whatever ships next.

Meet Konshus

Frequently Asked Questions

Never lose your AI again

Konshus is one way to solve this — a persistent memory vault and portable persona that follows you across ChatGPT, Claude, Gemini, and whatever ships next.

Meet Konshus