Google Gemini gets a memory boost as it now 'recalls' past conversations

One of the biggest pet peeves of talking to AI chatbots is their inability to remember anything significant. You’d want to ask a follow-up question, only to realize you have to re-explain everything because the bot has already forgotten. Fortunately, Google Gemini is finally catching up to what users have been wanting for ages—a memory boost.

Google first unveiled its memory feature late last year, teasing a future where AI could remember past interactions and make conversations more natural. But while OpenAI’s ChatGPT was already rolling out memory in phases, Gemini users were left waiting. Now, that wait is finally over. Google has officially rolled out Gemini’s recall feature, allowing the AI to summarize previous conversations, remember shared details, and pick up where you left off.

This means no more repeating yourself or scrolling through old threads to remind Gemini of past discussions. The AI can now tailor responses based on prior interactions, making conversations feel smoother and more personal. For now, this feature is available to English-speaking users subscribed to Google One AI Premium ($20/month), with more languages and enterprise accounts getting access soon.

With memory comes privacy concerns, so to address concerns about data security, Google is giving users full control over this new feature. If the idea of an AI chatbot remembering past conversations makes you uneasy, you can review, delete, or adjust how long Gemini keeps your history. You can even turn off the recall feature entirely from the “My Activity” page. Google also assures it won’t train its AI models using your chat histories.

That said, Google isn’t stopping here. Gemini Live is also set to receive a significant upgrade, with features like screen sharing and live video streaming on the way. This means you will be able to interact with Gemini in more dynamic ways.

For now, the memory boost is a big leap forward for AI chatbots to become less robotic, and a step toward building an AI that isn’t just reactive but proactive.