Can I use the same AI memory on my phone and laptop?

Yes, it's possible for supported clients on different devices to access the same saved memory. Client behavior and mobile support vary, so you will need to configure each supported app or installation and verify retrieval there. Each request returns relevant available context, rather than a copy of the same entire archive.

Why memory can still be separated across tools

Many AI apps already sync their own chat history and native memory across devices: a phone and laptop that are signed into the same product can often share that history. The barrier is across products: an assistant's account memory does not automatically appear in a different AI tool.

Some tools have added cloud sync for their own chat history. This 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 doesn't know about your current coding project, and your coding assistant doesn't know that you've already thought through the architecture on your commute.

Can I use the same AI memory on my phone and laptop?

With Vilix AI, yes. The memory layer lives outside every individual tool. You connect Vilix AI once to each tool you use by adding api.vilix.ai/mcp as a custom MCP connector. After authenticating and installing the Vilix AI custom instructions, the client should call get_context before it replies to load your recent messages, saved memories, and any relevant project state. Then it composes the reply, calls save_turn with the exact exchange, and returns the saved reply. Reuse chat_id within the conversation.

Because storage is tied to your account, supported clients can retrieve saved context from the same store. The particular context returned will depend on the request, available history, and plan.

Configure each client using its supported setup path. For ChatGPT, follow the current web setup; do not assume that you can create custom connectors in the iOS or Android app. Verify mobile availability in the client you use. Another route is an always-on agent connected to a messaging service, described in this post on WhatsApp and Telegram agents.

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 shared server-side store is one way to make memory reachable across devices.

Vilix AI uses MCP (Model Context Protocol) as that open endpoint. MCP is a standard that any AI tool can implement. In a compatible client, configure the Vilix AI endpoint and authenticate, then add the instructions that tell the client to retrieve and save context. Vilix AI exposes a remote MCP endpoint, so compatible clients can reach it over the network from different devices and agent environments.

The supported tools today include ChatGPT, Claude, Claude Code, Cursor, Codex, Grok, Manus, GitHub Copilot, Windsurf, Lovable, OpenClaw, and Hermes, and 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

A context response can include three categories of saved information:

• Recent messages and saved memories. Vilix AI 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 AI Projects, active project and task state can be included in retrieved context. A supported client on your phone can use that state to pick up work started at your desk.

• User rules and project rules. Short directives like "keep answers concise" and project details such as your current stack can be included in context for connected clients to use 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 AI can receive messages through WhatsApp or Telegram, compose an answer using relevant available memory, and save the exchange back to Vilix AI. When you later open Cursor on your laptop, the configured client can retrieve relevant context from that saved conversation.

This is the device-consistency argument taken further. It is not just phone and laptop sharing memory, but 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 your configured Claude Code client retrieve the sketch 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

Connect each supported client to api.vilix.ai/mcp and authenticate with the same Vilix AI account. OAuth works in clients that support it; headless clients can use the supported API-key/Bearer setup. Add the Vilix AI custom instructions or agent-loop calls. Account-based connectors may sync across devices, while local clients may need configuration on each installation.

Vilix AI 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 AI 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, when the clients you use support the Vilix AI connection. Connect them to the same account and verify that their context requests retrieve the saved information you need.

Is there a way to keep AI memory consistent across devices?

A shared server-side store is one approach. Vilix AI exposes saved memory through api.vilix.ai/mcp, which supported clients can query from different devices. Retrieval returns relevant available context, rather than keeping every context window identical.

Does Vilix AI work on mobile AI apps like ChatGPT for iPhone?

Follow the current ChatGPT web setup and check whether the connector is available in your mobile client. Do not assume that you can create custom connectors in the iOS app. A separately configured messaging agent can also provide access through WhatsApp or Telegram.

What happens to my memory if I switch from one AI tool to another?

Saved exchanges remain in your Vilix AI account. Your memory lives in Vilix AI, not in any individual tool. When you switch from Cursor to Claude or from Claude to ChatGPT, the configured client can retrieve relevant context from that account on its next memory request.

Do I need to set up Vilix AI separately on each device?

Account-based connectors may follow you between devices. Local clients may need configuration on each installation; use the same Vilix AI account to access the same saved memory.