Share memory between AI tools
Four ways to share context between ChatGPT and Claude, or any AI tools: copy and paste, a context file, memory import, and a shared memory. Where each one stops.
Guide
You use ChatGPT and Claude together without re-explaining by connecting both to one independent memory, so what one saves the other finds in a new chat.
If you use both ChatGPT and Claude, you know the routine. You work through a client brief in ChatGPT, move to Claude to draft the long document, and spend the first five minutes explaining the brief again. The second tool has no idea what you told the first.
By Musab Alrakhis · Last reviewed:
This article lays out a daily workflow for using both: why one tool doesn't know what you told the other, when switching pays off, and how to put both on one memory you can open, read and correct.
Different companies build these tools, and each keeps what it learns about you on its own systems. OpenAI added memory to ChatGPT. Anthropic added memory to Claude. Both are useful inside their own product, and there is no automatic link between them.
That isn't a flaw in either tool. It's what happens when two companies build separate products. The practical result is that you become the bridge: copying, pasting and re-explaining.
In both cases the memory lives inside the tool. Moving it means doing it by hand, every so often, rather than as you work.
Most people try copy and paste, a standing profile in custom instructions, or exporting and importing memory. We compared those approaches and where each one stops in our guide to sharing context between AI tools. This article answers a different question: what does a workday look like when you use both tools side by side and switch without re-explaining?
Put the memory somewhere independent of either tool, and connect each tool to it from its own settings. That's what Memory Bridge does. Your memory is plain-text Markdown notes, grouped into projects, and every note records its source and date.
Once both tools point at the same memory, what Claude saves is there for ChatGPT in a new chat, and the other way round.
Menu names in both tools change from time to time, and some steps depend on your plan, so the tool pages are kept up to date.
In Claude you write: "Supplier contract: two-year term, payment within 60 days, no automatic renewal." Claude saves it to your contracts project.
Two days later the supplier asks for automatic renewal. You open ChatGPT and type: "Write a reply to the supplier. They want the contract to renew automatically." ChatGPT finds the note, reminds them the contract has no automatic renewal, and proposes renewing on the same terms.
This is an illustration of how it works, not a customer story.
Not everyone needs two tools. But a few situations come up again and again for people who use AI at work every day.
You're deep into a long report in Claude and reach your plan's message limit. You switch to ChatGPT to finish, and you're back to explaining the report from the top. With shared memory, you ask ChatGPT to carry on and it reads what was saved about the report.
Plenty of people prefer ChatGPT for quick ideas and short emails, and Claude for long documents and contract review. Sensible, but it scatters a project's decisions across two tools. A shared memory keeps them in one project, so each tool knows what you settled in the other.
New models arrive every few months. Without shared memory, a trial starts from scratch, and you can't tell whether a weak answer came from the model or from missing context. With it, the other model starts out knowing your work, so the comparison is fair.
It will happen now and then, because AI tools sometimes misread you. So the memory is designed to stay in plain view:
That is the practical difference from built-in memory, which tends to show you a summary of what the tool knows rather than the full notes.
No need. Keep the built-in memory for general preferences, such as the language you like answers in. Keep the details of your clients, dates and decisions in Memory Bridge. Preferences rarely change, so they can live in each tool. Project details change weekly, and it's easier to fix them once, in one place, and have every tool see the fix.
Only what the tool asks your memory for: the search results its request needs, not your whole memory. Once the tool has them, it handles them under its provider's own policy.
Memory Bridge does not sell your data or use the text of your notes to train general-purpose AI models, and you can stop any tool's access whenever you like.
If you switch between ChatGPT and Claude every week, try one small test: save a fact in one tool and ask about it in the other. That's enough to tell whether a shared memory suits the way you work.
The Memory Bridge team drafted this article with help from AI tools and checked it against the live product and the sources linked above in October 2026. Menu names in other tools may change after that.
No. Each tool's memory stays inside it. When both are connected to Memory Bridge, they read the same notes, so what ChatGPT saves, Claude can find.
Connecting outside services differs by tool and by plan. Each tool's page under supported tools says what you need.
No. What gets saved is what you ask to save or agree on with your tool, plus anything you import from past conversations.
There's no need. Keep it for general preferences and keep your work details in Memory Bridge, where every tool can find them.
That tool loses access to your memory, your notes stay as they are, and the other tool keeps using them.
Four ways to share context between ChatGPT and Claude, or any AI tools: copy and paste, a context file, memory import, and a shared memory. Where each one stops.
Claude remembers what it learns from you, inside Claude. Connect Memory Bridge and every chat starts with your work, including notes saved from ChatGPT.
ChatGPT's memory keeps your preferences but drops detail. Connect Memory Bridge to keep lasting notes about your work that ChatGPT and your other AI tools read.
Pay for a month or a year. Nothing renews automatically.