ChatGPT remembers you. Claude remembers you. But neither of them remembers what you told the other one. If you split your work across both, you live a double life: preferences, project context, and decisions duplicated (or lost) between two silos.
Here are the real ways to fix that, from one-time migrations to an always-on shared memory.
The problem: memory is trapped per app
ChatGPT's memory (saved memories + chat history references) lives inside ChatGPT. Claude's memory lives inside Claude. There is no shared backend, no sync button, no standard they both speak for memory. Anything you want in both places, you move yourself.
Method 1: One-time migration (export and import)
The most popular workaround is a manual move:
- Export from ChatGPT. Ask it directly: "List every memory you have stored about me, plus context you've learned from our conversations. Output everything in a single code block, one entry per line." Copy the output.
- Import into Claude. Claude has a memory import feature that accepts pasted context and stores your preferences and habits so they apply across conversations.
This works for a one-time move, and it is genuinely useful if you are switching tools. But it has three limits:
- It goes stale immediately. Everything you do after the migration exists in only one place again.
- It moves preferences, not history. You get "prefers bullet points", not the three-week debugging saga.
- It is manual. Nobody redoes this weekly.
Migration is for moving. It is not sync.
Method 2: Browser extensions
Some tools (like Mem0's extension) inject a memory layer into the ChatGPT, Claude, and Perplexity web apps via content scripts: they intercept your message, search a memory API for relevant context, inject it into the prompt, and save the turn back afterward. Clever, and it covers the browser apps uniformly. The tradeoff is you are running a third party's scripts inside your chat tabs, and it only works where the extension is installed.
Method 3: MCP-based sync tools
Several open-source tools sync memory between AI tools over MCP or via CLI commands (migrate one tool's context into another's format). These are great for developers comfortable running local tooling, but they are still fundamentally transfer tools: you run a sync, state converges, then it drifts again.
What I actually use: one shared memory instead of syncing
I got tired of the sync mindset entirely. Syncing implies two copies that need reconciling. What I wanted was one copy.
So I connected Vilix AI as a memory layer over MCP. The idea is simple: instead of each app keeping its own memory and me shuttling context between them, there is one memory that sits outside any single app:
- Save once, available everywhere. A decision captured while working in one tool is retrievable when I continue in another. No export, no import, no drift.
- Automatic. Turns are saved without me issuing commands, and relevant context is pulled in before the AI replies.
- Follows me across devices. It is stored server-side in my account, so my laptop and my phone share the same memory.
- Setup is ~10 minutes per tool, and there is a free tier.
The honest caveat: it connects over MCP, so it lives in the tools that speak MCP (Claude Code, Cursor, Claude Desktop, and friends). For those tools, the "which app remembers what" problem just disappears.
Which method should you pick?
| Method | Effort | Stays in sync | Covers history |
|---|---|---|---|
| One-time migration | 15 minutes, once | No | Preferences only |
| Browser extension | Install + trust | Yes, in browser | Yes |
| MCP sync tools | Developer setup | On demand | Varies |
| Vilix AI shared layer | ~10 min per tool | Always | Yes |
If you are switching from ChatGPT to Claude permanently, do the one-time migration and move on. If you live in both (or more), stop migrating and start sharing: one memory, every tool.
The official Vilix AI community is r/VilixAI — workflows, tips, and questions from people running shared memory across their AI tools: https://www.reddit.com/r/VilixAI/
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