How do I avoid copy-pasting context between different AI chat interfaces?

Every time you switch AI tools you lose context and have to paste it back in manually. Vilix fixes this by retrieving your project memory automatically at the start of each turn, regardless of which tool you are using.

The short answer: connect Vilix as a custom MCP server once in each tool, and the copy-paste loop stops. Vilix retrieves your saved context automatically before each AI reply and persists the new exchange afterward, so the next tool you open already knows what happened in the last one.

Why context gets lost between AI tools

Every AI chat interface starts a new conversation with a blank slate. The model has no memory of what you told ChatGPT this morning, what Cursor figured out about your codebase yesterday, or what architectural decision you made with Claude last week. That information lives in browser tabs you may have already closed.

The workaround most developers land on is manual: keep a running notes file, paste the relevant chunk into each new chat, and hope you remembered to include the part the AI actually needs. It works, but it is friction that compounds. The longer a project runs, the more context there is to carry, and the more painful each switch becomes.

What Vilix does differently

Vilix is an MCP-native persistent memory layer. You connect it once per tool by adding a custom MCP connector pointing at api.vilix.ai/mcp. After that, two things happen on every turn automatically:

• Before the reply, the AI calls get_context, which loads your recent messages, saved memories from past conversations, any user rules you have set (such as "always use TypeScript strict mode"), and the live state of any active projects and tasks.
• After the reply, the AI calls save_turn to persist what just happened, so it is available to whatever tool you open next.

Memory is stored server-side in your Vilix account, tied to you rather than to any one tool or device. That is what makes the cross-tool handoff work without any manual step on your part.

You can read more about how this works on the cross-AI memory page, or see the pattern in context in the post on cross-AI memory in practice.

A concrete example: Cursor to Claude handoff

Say you spend an hour in Cursor working through a tricky refactor in your API layer. You end up deciding that the auth middleware needs to move, but you want to think through the implications before writing the code. You open Claude to talk it through.

Without Vilix, that conversation in Claude starts cold. You paste in the relevant file, explain the current structure, describe the plan you formed in Cursor, and ask your question. You have just spent five minutes reconstructing context that already existed.

With Vilix connected in both tools, Claude calls get_context before replying. It pulls in the recent Cursor exchanges where you discussed the middleware plan, plus any project-level notes Vilix has saved about your API conventions. By the time Claude responds, it already knows what you are working on. You skip straight to the architectural question.

When the Claude conversation ends, save_turn persists the conclusions. You go back to Cursor for implementation. Cursor picks up those conclusions automatically. The loop is gone.

For a detailed walkthrough of this specific pattern, see the post on keeping context between Claude and Cursor.

What gets retrieved and how

Vilix uses both semantic search and keyword search over your stored turns. When you start a new conversation, it surfaces the most relevant prior exchanges, not just the most recent ones. If you worked on authentication three weeks ago and today's question is about auth, those older turns come back up even if a hundred other conversations happened in between.

Three types of stored content contribute to each context load:

• Conversation turns: what you and each AI said, stored per turn and searchable by topic.
• User rules: short personal directives you set once ("short answers", "always show the full function, not a snippet") that inject into every reply across every tool.
• Projects and tasks: a lightweight project manager whose current state auto-injects into context so the AI knows what you are building and where it stands.

Which tools work with Vilix

Any tool that supports a custom MCP connector can use Vilix. The ones where the pattern is most useful day to day are ChatGPT, Claude, Claude Code, Cursor, Codex, Grok, Manus, GitHub Copilot, Windsurf, and Lovable. You add the same connector endpoint in each tool and they all read from and write to the same memory store in your account.

There is no browser extension and no sidebar to manage. The memory moves because the protocol moves it.

Getting started

Vilix has a free tier and a Pro plan at $19.99 per month with a 7-day full-Pro trial. Setup is one custom MCP connector per tool you want to connect. Most people are running in under ten minutes.

If you are tired of rebuilding context every time you switch tabs, try Vilix free and see how much of your day was going to copy-paste you did not need to do.

Frequently asked questions

Does Vilix work if I use different AI tools for different tasks?

Yes. That is exactly the use case Vilix is built for. You connect it once in each tool and memory flows between them automatically. You can use Claude for reasoning, Cursor for coding, and ChatGPT for writing, and all three share the same persistent context from your Vilix account.

Do I have to do anything to trigger the context retrieval?

No. Once Vilix is connected as an MCP server in a tool, retrieval and saving happen automatically on each turn. The AI calls the Vilix tools as part of its normal operation. You just ask your question as usual.

What happens if I start a conversation on one device and continue on another?

Because memory is stored server-side in your Vilix account rather than locally, it follows you to any device. Start a conversation on your laptop, continue it on your desktop or a different machine, and the context is there. No sync step required.

How does Vilix decide which past context to load?

Vilix uses both semantic search and keyword search over your stored turns to find what is most relevant to the current conversation. Recent messages are always included, and older exchanges surface when they are topically related to what you are asking now.

Is there a limit to how much context Vilix can store?

Storage limits depend on your plan. The free tier covers everyday use for a single developer. Pro and Power plans increase capacity for heavier workloads or teams. See the pricing page for current limits.