Can I use the same AI memory on my phone and laptop?
When your AI memory lives in the cloud rather than in a browser tab, it travels with you automatically. Here is how Vilix makes that work across every device and tool you use.
Yes, you can use the same AI memory on your phone and your laptop. Vilix stores your memory server-side in your account, so every tool you connect picks up the same context regardless of which device you are on. Open ChatGPT on your phone, switch to Claude on your laptop, or drop into Cursor at your desk and the same saved notes, project state, and personal rules are already there.
Why most AI memory is device-bound
The default memory in most AI tools is local. It lives inside a browser tab, a chat thread, or an app install. When you switch devices, you start from scratch. The AI on your phone has no idea what you discussed with the AI on your laptop this morning. This is not a bug in any specific product; it is an architectural fact about how chat history and context work in single-tool systems.
Some tools have added cloud sync for their own chat history. That helps within one tool. But if you use ChatGPT on your phone and Cursor on your laptop, those two memory stores are still completely separate. Your phone assistant does not know about your current coding project, and your coding assistant does not know that you already thought through the architecture on your commute.
Can I use the same AI memory on my phone and laptop?
With Vilix, yes. The memory layer sits outside every individual tool. You connect Vilix once to each tool you use by adding api.vilix.ai/mcp as a custom MCP connector. From that point on, every supported AI calls get_context before it replies to load your recent messages, saved memories, and any relevant project state. After it replies it calls save_turn to persist the exchange back to your Vilix account.
Because the storage is server-side and tied to your account rather than to any device or app, the context is the same everywhere. Open Claude on your MacBook, then open ChatGPT on your iPhone. Both tools reach the same Vilix account, so they see the same memory.
On desktop this is straightforward: Claude, Cursor, Codex, and most dev tools support MCP connectors natively, so you paste in the endpoint and you are done. On mobile the path is slightly different. ChatGPT for iOS and Android supports custom connectors, so you can add Vilix directly in the app settings. For tools that do not have native MCP support on mobile, you can reach the same memory through any mobile browser session that connects via MCP, or through the always-on agent pattern described in this post on WhatsApp and Telegram agents, where a persistent agent acts as your cross-device memory hub.
Is there a way to keep AI memory consistent across devices?
This is really the same question from a different angle. Consistency across devices requires the memory to live somewhere that every device can reach. A server-side store with an open protocol endpoint is the only architecture that delivers that reliably.
Vilix uses MCP (Model Context Protocol) as that open endpoint. MCP is a standard that any AI tool can implement. When a tool supports custom MCP connectors, you give it your Vilix endpoint and it automatically gains access to your persistent memory. Because MCP is a network call rather than a file on disk, it works identically from a phone, a laptop, a remote dev environment, or a cloud agent.
The supported tools today include ChatGPT, Claude, Claude Code, Cursor, Codex, Grok, Manus, GitHub Copilot, Windsurf, Lovable, OpenClaw, and Hermes, plus any tool that accepts a custom MCP connector. You connect each tool once and they all share the same memory pool. See how cross-AI memory works for a fuller picture of the architecture.
What memory is available across devices
When any connected AI loads your context, it gets three things:
- Recent messages and saved memories. Vilix stores the turns from your conversations and lets you save specific memories explicitly. Semantic and keyword search surface the most relevant ones for the current exchange.
- Project and task state. If you use Vilix Projects, the current status of your active projects and tasks injects automatically. The AI on your phone knows which project you were working on at your desk.
- User rules and project rules. Short directives like "keep answers concise" or your current project stack apply everywhere, so the AI behaves consistently whether you are on mobile or desktop.
The always-on angle: texting your AI from your phone
One practical benefit of server-side memory is that you can extend AI to messaging apps you already use on your phone. An always-on agent connected to Vilix can receive messages through WhatsApp or Telegram, answer using your full memory context, and save the exchange back to Vilix. When you later open Cursor on your laptop, that conversation is already in context.
This is the device-consistency argument taken further. It is not just phone and laptop sharing memory; it is any surface you communicate from feeding into and reading from the same persistent brain. You might sketch an idea on your morning commute via WhatsApp, then have Claude Code reference that sketch automatically when you sit down to code.
More on this pattern in the always-on agent with WhatsApp and Telegram post.
How to set it up
The setup is the same regardless of device. In each tool that supports MCP connectors, add your Vilix endpoint (api.vilix.ai/mcp) and authenticate with your account token. That is the entire configuration. There is no browser extension to install, no local file to maintain, and no per-device setup. Once the connector is active on a tool, it reads from and writes to your Vilix account on every turn.
Vilix has a Free plan, a Pro plan at $19.99 per month (with a 7-day full-Pro trial), and a Power plan for heavier usage. Try Vilix free and connect your first tool in a few minutes.
For a broader look at what this makes possible, the cross-AI memory overview covers how memory persists across tools, not just across devices.
Frequently asked questions
Can I use the same AI memory on my phone and laptop?
Yes. Vilix stores your memory server-side, so any tool you connect to your Vilix account on any device reads the same context. Connect ChatGPT on your iPhone and Claude on your MacBook to the same Vilix account and they share your memory pool automatically.
Is there a way to keep AI memory consistent across devices?
Server-side memory is the only reliable approach. Vilix acts as a persistent memory layer accessible via an MCP endpoint (api.vilix.ai/mcp). Any AI tool that supports custom MCP connectors can reach it from any device, keeping your context identical everywhere.
Does Vilix work on mobile AI apps like ChatGPT for iPhone?
ChatGPT for iOS supports custom MCP connectors, so you can add your Vilix endpoint directly in the app settings. For tools without native MCP on mobile, an always-on agent connected to messaging apps like WhatsApp or Telegram can extend the same memory to your phone.
What happens to my memory if I switch from one AI tool to another?
Nothing is lost. Your memory lives in Vilix, not in any individual tool. When you switch from Cursor to Claude or from Claude to ChatGPT, the new tool loads the same context from your Vilix account as soon as you send a message.
Do I need to set up Vilix separately on each device?
You configure the MCP connector once per tool, not once per device. If you use Claude on two laptops, you add the Vilix connector in Claude's settings on each machine, but both point to the same account and share the same memory. There is no per-device configuration beyond that.