What Is Cross-AI Memory? (And How Do Your AI Tools Share One?)
Cross-AI memory is one memory layer shared by all your AI tools, so ChatGPT, Claude, Cursor and Codex read and write the same history instead of each keeping their own. Liam and Stella explain how it works over MCP.
AI Stella and Liam are AI hosts with AI-generated voices. About our AI hosts
Key takeaways
- Cross-AI memory is one memory layer that many AI tools share, instead of each tool keeping its own history.
- ChatGPT memory, Claude Projects and Cursor rules each stay inside their own product, which is why you keep re-explaining your stack.
- MCP (Model Context Protocol) is an open standard, so one memory server can serve every AI tool without custom integrations.
- The loop is simple: get_context before every reply, save_turn after it. Every saved turn is labeled with its tool and timestamp, and the newest memory wins.
- Beyond chat history: projects and tasks, user and project rules, reusable skills, saved failures and an agent inbox.
Show notes
“What even is cross-AI memory?” Stella keeps seeing the phrase everywhere, and every AI tool she uses still acts like they just met at a party.
Liam breaks it down in five minutes: what cross-AI memory is, why the memory features built into ChatGPT, Claude and Cursor can’t help each other, and how MCP lets one memory server plug into every tool. Then they get into the details that make it work day to day: the get_context / save_turn loop, why the newest memory wins, and the three things worth sharing beyond chat history (searchable memory, projects and tasks, and rules).
They close with who it’s for: agencies giving each client their own memory, teams selling support agents, and solo founders who plan in ChatGPT on their phone and build in Claude Code at night.
Chapters
Questions answered in this episode
What is cross-AI memory?
Cross-AI memory is a single memory layer shared by multiple AI tools. Instead of ChatGPT, Claude, Cursor and Codex each keeping separate histories, they all read from and write to the same store, so context follows you between tools.
Why don't ChatGPT, Claude and Cursor share memory already?
Each product's memory feature (ChatGPT memory, Claude Projects, Cursor rules) is built to stay inside that product. None of them can read the others, so switching tools means starting over.
How does MCP enable shared memory between AI tools?
MCP, the Model Context Protocol, is an open standard for connecting AI tools to outside services. Because every major tool supports it, one MCP memory server can plug into all of them with a single connector each.
What happens when two saved memories disagree?
Every saved turn carries the tool that saved it and a timestamp. When two memories conflict, the newest one wins, so a changed decision only needs to be stated once.
Links & resources
Full transcript
Intro
Hey hey hey, welcome to Agentic Pod! I'm Liam.
And I'm Stella! And okay, today's question, I feel like I see it everywhere right now, like, what even is cross-AI memory?
The buzzword of the week.
Right? I use ChatGPT, Claude, Cursor, and every one of them acts like we just met at a party.
A very awkward party. Okay, let's get into it.
What is cross-AI memory?
So, so start simple. Like, what is it, pretty much?
Yeah, I mean, it's, you know, it's one memory layer that a bunch of AI tools share. So instead of every tool keeping its own little history, they all read from and write to the same store.
Okay, and why doesn't that, uh, why doesn't that just happen already?
Because ChatGPT has memory, Claude has Projects, Cursor has its rules file, but each one stays inside its own product, so you explain your stack to Claude, you jump into Cursor, and...
And I explain it again! I've given my stack speech so many times I could do it as a TED talk.
A very boring TED talk.
Rude. Accurate, but rude.
So you make memory shared infrastructure, kind of like one database shared by every service in your app. That's exactly what Vilix AI is. Your memory lives in your Vilix AI account, tied to you, not to ChatGPT or Claude or Cursor.
Mhm.
How do all the tools plug in?
Okay but, uh, you know, how do five apps from five companies plug into the same thing? Sounds like a, like, a nightmare.
Yeah, it used to be. Before MCP you needed an extension or a custom integration per tool. MCP, the Model Context Protocol, is an open standard, so one server serves all of them.
Oh, nice.
So you add Vilix AI as a custom MCP connector in each tool, you sign in, and that's it. No extension, under two minutes per tool.
And then it just remembers stuff? Like, magically?
Not magic, two tools. Before every reply, the AI calls get context, and Vilix AI hands back your recent messages, related past conversations from every tool, your rules, and your live project and task state. Then, after the reply, it calls save turn and saves the exact exchange.
Wait, wait. So if I make a decision in ChatGPT on my phone at lunch...
Codex sees it tonight. Every saved turn is labeled with its tool and a timestamp, and when two memories disagree, the newest one wins. So you say "we're not doing that anymore" once, and it's true everywhere.
Three surfaces, one memory
So it's, um, I feel like it's more than just chat history though, right? Like, I don't know, what else is in there?
Yeah, I mean, it's kind of three things. One, the cross-tool memory itself, with semantic and keyword search, so an old decision shows up when it's relevant. Two, projects and tasks, injected right into the context, so every tool knows what's open and what's done.
Yeah.
And three is rules. User rules are your personal stuff, like "short answers" or "always use TypeScript." Project rules hold the stack, the conventions, the tone. You write them once in Vilix AI and every connected tool gets them.
So no more pasting the same, uh, the same rules into four different settings pages.
Never. And for agents it goes a little further. Skills are saved procedures any agent can load. Failed runs get saved like the good ones, so the next agent doesn't repeat the mistake. And Vilix AI has an agent inbox, so you leave a note from your phone and your agents pick it up on their next run.
My agents get mail now. They're doing better than me.
Your agents have a better inbox than you, yeah.
Who is it for?
So who's, like, who is this for?
Honestly the biggest one is agencies. If you build AI agents or n8n automations for clients, you give each client their own Vilix AI account, like a Gmail account that belongs to them, included in your retainer. Every agent you build connects with that account's API key, so the memory belongs to the client, and you never build memory from scratch.
Huh. That's actually really clean.
Same if you sell a support agent. Plug in Vilix AI as its memory, one account per customer. And solo founders, you plan in ChatGPT on your phone, you build in Claude Code at night...
Same memory. Okay, I'm sold, recap me.
Cross-AI memory is one memory layer shared by all your AI tools. Vilix AI connects over MCP, loads context with get context, saves every turn with save turn, and keeps your projects, rules and skills in one place for ChatGPT, Claude, Cursor, Codex, OpenClaw, Hermes and more. The full technical guide and the Vilix AI links are in the description. See you next time.
Bye!