How to Give Claude and ChatGPT the Same Memory
Put both assistants on one MCP-connected context vault
You use ChatGPT for some things and Claude for others. Both have memory now. Neither knows what you told the other. So you explain your role to ChatGPT in the morning, switch to Claude in the afternoon, and start over — same facts, same preferences, typed twice into two tools that will never compare notes.
Giving them the same memory is possible. Just not from inside either one.
Can Claude and ChatGPT share memory directly?
No — there's no native way for Claude and ChatGPT to see each other's memory, and there won't be. Each platform builds memory about you inside its own walls: Anthropic made Claude's Chat Memory automatic on all plans, including the free tier, on March 2, 2026, and OpenAI shipped Dreaming — background memory synthesis for ChatGPT — on June 4, 2026 . Both are useful. Both are sealed.
That sealing is deliberate. The memory a platform builds about you is one of the reasons you stay — it's a retention asset, not a feature they're motivated to make portable. Expecting OpenAI and Anthropic to sync their memory of you with each other is expecting two competitors to share the thing that keeps you on each product.
The result is the silo you already feel. ChatGPT's picture of you and Claude's picture of you drift apart, and you're the one keeping them in sync by hand.
What actually works — one shared layer both connect to
The fix is to stop treating either platform's memory as the source of truth, and keep your context in a layer both tools connect to. Instead of ChatGPT remembering one version of you and Claude another, both read from the same profile — one you own, outside either app.
Both Claude and ChatGPT support MCP (Model Context Protocol), the open standard for connecting AI tools to outside sources. When your context lives in an MCP-connected vault, both tools load the same identity, role, and priorities at the start of every session — no pasting, no re-explaining.
It goes both ways. Work something out in Claude — a decision, a new project, a preference — and you can save it back to the vault, where ChatGPT picks it up next session. Do the same from ChatGPT and Claude inherits it. Read from the vault via MCP; write back to it with an explicit save. You can automate the write step with a custom instruction like "save what we decided to my context vault," so the loop closes without you thinking about it.
This is the difference between importing and sharing. A one-time export from ChatGPT into Claude is a snapshot that goes stale the moment you learn something new. A shared layer stays current for both, because both are reading and writing to the same place.
How to set it up
You need one layer that holds your context and connects to both tools. Unabyss is a personal context vault built for exactly this.
- Build your vault once. Connect your real sources — LinkedIn, Notion, email, GitHub — and Unabyss extracts a structured profile in under 90 seconds. No forms, no writing a bio from memory.
- Connect Claude over MCP. Point Claude at your Unabyss vault. From then on it loads your context at session start.
- Connect ChatGPT over MCP. Same vault, same setup. ChatGPT now reads the identical profile.
- Turn on save-back (optional). Add a custom instruction in each tool to save new decisions and context back to the vault. Now anything you work out in one tool is available in the other.
One setup. Two tools reading and writing the same memory — with you deciding what each can see.
The multi-tool problem this solves is common and growing: according to Menlo Ventures' 2025 State of Consumer AI report, roughly a third of AI users rely on a second assistant, and about one in six use three or more . If you're in that group, the same-memory problem isn't going away on its own — the platforms have no reason to solve it for you.
Why not just paste between them?
You can, and for a one-off it's fine. Copy your ChatGPT custom instructions into Claude's preferences and you're most of the way there for a day. The problem is maintenance: the moment your situation changes, you're back to updating two tools by hand, and the versions drift again. Manual copy-paste doesn't scale past the first week — which is the whole reason a shared layer exists.
For the full walkthrough across every tool you use, not just these two, see how to share memory across all your AI tools. For the bigger picture on what a cross-tool memory layer actually is, start with what multiagentic memory is.
Give Claude and ChatGPT the same memory →
