How Do You Share Memory Across AI Tools?
Every AI tool has its own memory, and each one is private to the app that made it. Teach Claude your deploy rules, open Cursor, and you start from zero.
AI Stella and Liam are AI hosts with AI-generated voices. About our AI hosts
Key takeaways
- Every AI tool keeps a private memory, so what you teach Claude never reaches Cursor and you become the copy and paste step.
- A shared folder of markdown notes is the lowest-tech option, but it lives on one machine and two agents writing at once can collide.
- A self-hosted memory server works across machines but turns a memory problem into an operations problem: updates, storage and uptime.
- A cloud memory layer over MCP follows you, not the machine: tools call get_context at the start of a task and save_turn at the end, and the newest memory wins.
- Single machine, no phone and no cloud agents? A folder is fine. Otherwise use one shared memory over MCP, and test it in two minutes: save a decision in one tool, ask another.
Show notes
Every AI tool has its own memory, and each one is private to the app that made it. Teach Claude your deploy rules, open Cursor, and you start from zero. In this episode of Agentic Pod, Liam and Stella walk through five ways to share memory across ChatGPT, Claude, Claude Code, Codex and Cursor: a shared folder, a local memory binary, a self-hosted server, a memory bank and a cloud memory layer over MCP. They show where each one breaks, and how Vilix AI gives every tool one shared memory with get_context and save_turn, source labels, newest memory wins, user rules, and one Vilix AI account per client for agencies.
What we cover:
- Why every AI tool is its own memory silo
- The five ways to share memory, and where a folder or your own server breaks
- One memory over MCP that follows you across laptop, phone and cloud agents
- get_context before a task, save_turn after, source labels, newest memory wins
- User rules that every connected tool follows
- One Vilix AI account per client for agencies
- A two-minute test to confirm it works
Chapters
Questions answered in this episode
Why can't my AI tools share memory by default?
Each tool stores memory privately inside its own app. What you teach one tool stays there, so you end up re-typing the same context into every session.
Is a shared folder of notes enough?
For one machine it is a fine, simple answer. It does not reach your phone, a second laptop or cloud agents, and simultaneous writes can overwrite each other.
What happens when two tools disagree?
Newest memory wins, and each save carries a source label so you can see which tool wrote what.
How do I test shared memory quickly?
Save a decision in one tool, then ask a different tool about it. If it answers correctly, the setup works.
Links & resources
Full transcript
Intro
Hey hey hey, welcome to Agentic Pod! I'm Liam.
And I'm Stella! Liam, I use five AI tools every day, and I'm pretty sure I've explained my deploy rules to all five. Twice.
Yeah, you're the human copy and paste. Today: there are five ways to share memory across your tools, and only one of them reaches your phone, your cloud agents and your laptop with zero servers.
Zero servers. Okay, I'm listening.
Why every tool is its own silo
So why can't my tools just share what they know? They all have memory now.
They do, um, and each one is private to the app that made it. You teach Claude your deploy rules, you open Cursor, and Cursor starts from zero.
So the knowledge exists. It's just stuck in the wrong room.
Exactly. And you become the transfer mechanism. You re-type the same context into every session.
I have a file called "paste this." It's very long. It has a sad little title.
Everybody has that file. This is the pain Vilix AI fixes. It's one shared memory that every tool joins over MCP, the plug that lets an AI app use outside tools. Connect each tool once, and they all read from, and write to, the same place.
But hold on. Can't I just do a shared folder?
Folders and servers, where they break
You can, and honestly it's the lowest-tech answer. A folder of markdown notes in your repo, agents read it at the start and add what they learn.
That sounds great. What's the catch?
It lives on one machine. It doesn't reach your phone app, your second laptop, or a cloud agent. And two agents writing at once can step on each other's notes.
Okay, so what about running my own memory server?
Then you get cross-machine memory, but you also get a server. Updates, storage, uptime. You turned a memory problem into an operations problem.
I just wanted my tools to stop forgetting. I did not want a pager.
Ha! Right. With Vilix AI there's nothing to run. It's in the cloud, so memory follows you, the person, not the machine. Your laptop, your phone, even a background agent that never touches your disk.
So what does a tool actually do with it?
What your tools get back
Two calls. At the start of a task, the tool calls get_context, and Vilix AI sends back your saved decisions, your projects, your tasks and your user rules. At the end, it calls save_turn to store what just happened.
And if two tools disagree? Claude says one thing on Monday, Cursor says another on Tuesday.
Newest memory wins. And every save carries a source label, so you can see which tool wrote what. Tuesday's fix beats Monday's guess, everywhere.
So I fix it once, and every tool knows.
Once. And your personal rules, like "always show the test first", are user rules in Vilix AI. Say it one time, every connected tool follows it.
Okay, but I have a feeling you're about to say something about clients.
The client angle, and the verdict
You know me. If you build AI work for clients, give each client their own Vilix AI account, like a Gmail account that belongs to them. Their decisions stay with them, and you never build memory from scratch. It's already built, you just wire it up.
So no mixing up one client's stack with another's.
Right. And if you don't want to commit, the free plan is free forever, and Pro has a seven-day trial with no credit card.
Honest verdict. Which of the five should I pick?
Single machine, no phone, no cloud agents? A folder is fine. Everything else, one shared memory over MCP.
And the two-minute test?
Save a decision in one tool. Ask a different tool about it. If it answers, you're done. The full guide, the blog post and Vilix AI are in the description. Which of your tools forgets the most? Tell us in the comments. See you next time!