How to use one memory across AI tools

Why doesn't my AI remember what I told the other one?

Because each memory belongs to the company that runs the app. ChatGPT's memory lives in your OpenAI account. Claude's lives in your Anthropic account. There is no shared layer between them, and neither has a reason to build one.

That is fine if you use one assistant. Most people who make content now use two or three: one for writing, one for research, one in their code editor. AI tools for content creation maps which does what. Each one knows a different slice of you, and you spend the first message of every chat re-explaining your brand.

Way 1: a context note you paste in

Write one document: who you are, what you sell, your audience, your voice, current projects. Paste it at the start of a chat. How to stop AI content sounding generic covers what belongs in it.

• Cost: free.
• Works with: every AI.
• Breaks when: the note goes stale. Nothing saved in a chat comes back to the note unless you copy it there yourself.

Good for occasional use. Tiring as a daily habit.

Way 2: the same files in each app's projects

ChatGPT Projects and Claude Projects both accept files that every chat in the project can read. Upload the same brand, voice and audience files to both.

• Cost: included in the paid plans of each app.
• Works with: apps that have projects.
• Breaks when: you edit one copy and forget the other. Decisions made in a chat still are not saved anywhere unless you update the file by hand.

Better. Still one-way: the AI reads, but cannot write back.

Way 3: one vault every AI connects to

Keep your notes in one place and connect each AI to it with MCP. Then any assistant can search the notes, read one, and save a new note or an update, and the others see it on the next request.

• Cost: depends on the tool; some self-hosted options are free with more setup.
• Works with: any app that supports MCP connectors, which now includes Claude, ChatGPT, Cursor and VS Code.
• Breaks when: the notes become a dumping ground. Shared memory needs the same tidying as any notebook.

This is the only way that is two-way and shared at the same time.

How the three compare

What should go into shared memory?

Not everything. A memory full of chat transcripts is as hard to use as no memory. Keep it to the notes you would want any assistant to know:

1. Brand and voice. How you write, what you never say.
2. Audience. Who you write for, in their words.
3. Decisions. What you chose and why, so no AI argues you out of it next week.
4. Ideas. Content ideas and hooks as they come up, wherever they come up.
5. References. Sources, links, numbers you trust.

Write each as a short Markdown note with a clear title, and link related notes together. That keeps it readable by you as well as by the AI. A Threads post bank is a good first use: ideas saved from any chat, used from any chat.

What to check before you pick a tool

• Can you export everything as plain files and leave?
• Does the tool use your notes to train anything?
• Can you see and edit every note, or only what the AI decided to keep?
• Can you separate brands or clients so one never leaks into another?

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Valta, if you use more than one AI

A note on fit first. If you use one assistant and its built-in memory works for you, keep it. Valta is not an AI and never writes for you, it does not publish or schedule anything, and there is no semantic search or Obsidian sync in this version.

Valta is one vault of Markdown notes, with links between them, that Claude, ChatGPT, Cursor and any other MCP app can save to and read back. Separate vaults keep brands apart, a graph on the site shows how your notes connect, export is free on every plan, and no AI runs on Valta's side. There is a free plan with one vault and 100 notes.

See Valta