Move your AI memories between ChatGPT, Claude, and Gemini. Export your preferences, context, and settings — then import them to your new AI assistant.
You've already taught your AI your preferences, writing style, and context. Don't start from scratch with a new assistant.
Important project details, professional background, and personal preferences transfer seamlessly between AI platforms.
Not locked into one AI anymore. Try new models without losing your personalized context and preferences.
No signup, no subscription, no limits. Your memories belong to you — take them wherever you want.
Tip: For best results, export all memories from your source AI, not just individual conversations.
Transfer your AI memories, preferences, and context between ChatGPT, Claude, and Gemini. Export from one AI, import to another. Free tool — no signup required. This page is built for people who want a fast path to a working result, not a vague prompt-and-pray workflow. If you need a more reliable first draft, cleaner output, or a repeatable workflow you can hand to a teammate, AI Memory Transfer is designed to shorten that path.
Most visitors use AI Memory Transfer because they need something specific done now: a deliverable, a decision, or a workflow checkpoint. The sections below show the fastest way to get value from the tool and the adjacent pages that help you keep going.
Move your AI memories in 4 simple steps:
For anyone switching between AI assistants who doesn't want to start from scratch.
Maintain your personalized context across multiple AI platforms without repetition.
Keep your work context, writing style preferences, and project details when trying new AI tools.
Standardize AI preferences across team members using different AI assistants.
Import your ChatGPT memories and preferences directly into Claude's memory system.
A strong outcome from AI Memory Transfer is not just “some output.” It should be usable with minimal cleanup, aligned to the task you opened the page for, and specific enough that you can paste it into the next step of your workflow without rewriting everything from scratch.
If the first pass feels too generic, use the use cases, FAQs, and related pages here to tighten the scope. That usually produces better results faster than starting over in a blank chat.