Google has taken another step in its strategy with Gemini as a personal artificial intelligence assistant And it has begun offering a feature that many users have been missing: the ability to carry over memories and conversations from other AI platforms. With this new feature, switching assistants no longer means starting from scratch.
The company wants to alleviate the main fear of those considering migrating from tools like ChatGPT or other similar solutions: lose the context accumulated over months of usewith preferences, relevant personal data, and key conversations that shaped a customized experience. The new memory and history import system aims to overcome precisely that obstacle.
Import memories, preferences, and personal context into Gemini
The new feature allows Gemini to absorb memories, preferences, and key information that the user had already shared with other third-party AI applications. Instead of starting from scratch, the Google Assistant can begin by already knowing interests, common topics, and certain biographical details.
According to the company, the goal is to facilitate the transition between platforms so that the change of assistant is not so abrupt. In practice, this means that Gemini can immediately understand personal aspects such as hobbies, long-term projects, or information that the user has repeatedly shared in other AI chats, and keep them in mind from the first conversation in the new environment.
Once the process is complete, Gemini is able to recognize Names of family members and friends, references to past experiences, or context about personal history that were previously only available in other tools. This way, the user doesn't have to repeatedly explain who's who or what issues they've been working on with a virtual assistant for some time.
Google presents this option as another piece of its commitment to a more individual-centered AI, in line with what it has already been doing with the integration of data (always optional) from services such as Gmail, Photos or search history when the user consents and configures it.
This is how memory import works step by step
To activate the transfer of memories from other AI applications, the user must first go to the menu of Settings within the Gemini appThere you will find a new section of Import designed specifically for this purpose and intended to simplify the process as much as possible.
Within that section, Google proposes using a system based on a prompt suggested by Gemini herself, similar to the method for Migrate your ChatGPT conversations to GeminiThe mechanism is simple: the application generates a text that the user has to copy and paste into the AI ​​assistant they were using until now, whether it's ChatGPT or another compatible tool that allows them to respond to that message.
The response returned by the other AI app acts as a structured summary of memories, preferences, and relevant data that have accumulated through use. This can include everything from thematic interests to practical information that the assistant has internalized throughout the conversations.
Once that summary is obtained, the next step is to Copy it again and paste it directly into GeminiThe application then analyzes the content, extracts the most important points, and securely stores them within its own memory context, so they are ready to be used in the next chat.
Google insists that this data is integrated into the assistant's memory function and managed as part of the information it uses to personalize responses, while maintaining the privacy and settings controls that the user has available on the platform.
Import the complete chat history using ZIP files
Beyond memories and preferences, the Gemini update also introduces the possibility of import the complete conversation history maintained in other AI assistants. This feature is designed for those who not only want to carry over the general context, but also retrieve specific threads and follow them in the new environment.
In this case, the procedure is different: users must Upload a ZIP file containing the exported chat history to Gemini from the previous platform. Many AI tools allow you to download conversations in this format, which facilitates the transfer from one service to another.
Once the file is uploaded, Gemini can access previous conversations and allow searches within that materialThis allows users to locate previously discussed topics and resume working on them directly from the Google interface. This opens the door to continuing to work on old projects without having to rewrite the context.
The company frames this functionality within its commitment to continuity across platforms: the idea is that changing assistants does not mean giving up all the previous work, whether it is a document in progress, a personal plan or a series of technical queries that the user wants to always have at hand.
With this opening to imported history, Gemini expands its ability to function as a unified repository of AI conversations, in which Past interactions are not isolated within each servicebut can be consolidated in a single place whenever the user decides to do so.
Gemini memory and data from other services
The new import tool integrates directly with the function previously known as Previous chatswhich will now be called simply Conference proceedingsThis name change better reflects the role Gemini aspires to play as an assistant capable of remembering and reusing information over time.
According to Google, the call Gemini Personal Intelligence Gemini already relied, with user permission, on data from services like Gmail, Google Photos, search history, and previous conversations within the app. With the addition of data from other AI apps, this information ecosystem expands even further.
By adding external memories and imported chat histories, Gemini's Memory It can incorporate details of dialogues held on other platforms along with those already generated within the assistant itself. This allows it to offer more tailored responses, with a more complete view of the user's relationship with different tools.
The company links this evolution to its strategy of making Gemini a central hub for user activity with AI, without forcing users to give up what they have already built in other services. The approach, however, continues to be based on the idea that it is the user who decides what data they want to transfer and how they want to manage it.
At the same time, Google emphasizes that this memory expansion is being rolled out gradually to the Personal accounts, prioritizing a gradual rollout that allows you to adjust the experience and the controls available on the assistant's settings page.
An attempt to reduce the barriers to switching assistants
With this update, the tech company directly addresses one of the most common obstacles when trying out new AI assistants: the feeling that, when switching services, all the context accumulated through use is lost And it takes time to rebuild it. For many users, that friction was enough to prevent them from switching to another platform.
The ability to transfer memories and history aims to make the switch more like changing phones while keeping a backup than starting with a completely new device. In practice, Gemini is trying to reduce dependence on a single supplier making it easier for the user to take their information to their assistant, instead of being tied to where they started.
This move also reflects the growing competition among AI platforms, where the ability to remember, personalize, and adapt to each individual has become a key differentiator. Google is thus reinforcing Gemini's position as an option for those who value a more familiar experience.
The update has already begun to appear on the Gemini settings page, from where both the import of memory and history such as the associated privacy options. Although the rollout is gradual, the company intends for this tool to eventually be available for most personal accounts.
Taken together, the addition of these features positions Gemini as an assistant that, in addition to answering specific queries, focuses on build a long-term relationship based on what the conversations remind you of and in the information that the user decides to share over time.
