product update

Google Gemini testing chat history import from ChatGPT, Claude, Perplexity

TL;DR

Google is testing a feature in Gemini that would allow users to import chat history and memory profiles from competing AI chatbots like ChatGPT, Claude, and Perplexity. The feature, discovered in Gemini version 17.11.54, uses a two-part transfer system: users paste a memory prompt from another app into Gemini, then import chat files (up to 5GB in .zip format) to preserve conversation context.

2 min read
1

Google Gemini Testing Chat History Import from Competing AI Apps

Google is testing a feature that would allow Gemini users to import chat history and memory profiles from other AI applications, according to an APK teardown discovered by Android Authority. The feature, found in Gemini version 17.11.54, is not yet publicly available and has no confirmed launch timeline.

How the Transfer Feature Works

The import tool operates in two distinct phases:

Phase 1: Memory Profile Transfer Users paste a specialized prompt into their current AI app (ChatGPT, Claude, Perplexity, etc.). This generates a summary of information the model has learned about the user—including demographics, names, aliases, and background details. Users then copy this output and paste it into Gemini's transfer tool to quickly establish a user profile.

Phase 2: Chat History Import Users can upload previous conversation files from other apps in .zip format, with a maximum file size of 5GB. Once imported, Gemini gains access to the full conversation context, allowing users to resume their work without starting from scratch.

Important Limitations

Google frames this as similar to a game of "telephone"—the transferred information is second-hand and may contain inaccuracies or misinterpretations during the transfer process. The feature only imports what was previously disclosed to other chatbots; it does not access any proprietary data or training information from competing models.

The import is a one-time operation, not a continuous sync between applications.

Context: Multi-Model User Behavior

The feature addresses a reality of the current AI landscape: users frequently switch between different models to find the best experience for specific tasks. Building profiles from scratch with each new model creates friction. ChatGPT, Claude, Perplexity, and other competitors already offer memory and conversation persistence features, so Gemini's import capability would reduce switching costs.

This move suggests Google recognizes that users are not exclusively loyal to a single AI platform and views import functionality as a practical way to reduce abandonment when users experiment with Gemini.

What This Means

If Google launches this feature publicly, it could lower the barrier to trying Gemini for users already invested in other AI services. However, the "second-hand information" nature of the transfer means the imported profiles may not be as accurate as profiles built directly within Gemini. The feature is currently in testing with no guarantee of public release—APK teardowns often surface features that never ship. Users should not expect this functionality immediately.

Related Articles

product update

Google expands Gemini Android overlay menu with six new tools accessible without opening app

Google has expanded the Gemini overlay plus menu on Android to include six tools: Videos, Music, Canvas, and Guided Learning join the existing Images and Personal Intelligence options. The update, rolling out in Google app version 17.32, allows users to access most Gemini features from anywhere on Android without opening the full app.

product update

Google Gemini Live gains access to Memory and Connected Apps from past conversations

Google has updated Gemini Live to access past conversation history through Memory and Connected Apps. The feature, currently available in English in the US, allows the voice assistant to reference previous chats and information from YouTube, Workspace, Utilities, and image generation tools during conversations.

product update

AWS Releases AgentCore Harness for Production AI Agents with Two-API Setup

Amazon Web Services made its AgentCore harness generally available, reducing production AI agent deployment to two API calls: CreateHarness and InvokeHarness. The managed service handles sandboxed execution, memory, tool integration, and observability, eliminating infrastructure setup for teams building LLM agents.

product update

Mistral AI adds Deep Research agent, voice mode with Voxtral model to Le Chat

Mistral AI has released a major update to Le Chat, adding a Deep Research agent that generates structured research reports, a new voice input model called Voxtral, and Projects for organizing conversations. The update also includes multilingual reasoning powered by Mistral's Magistral model.

Comments

Loading...