How do I stop re-explaining project details to different AI models?
Every AI tool starts with a blank slate, so you end up repeating the same project background over and over. Vilix fixes this by loading your context automatically before each reply, across every tool you use.
Every AI tool starts with a blank slate. You open a new conversation in Claude, ChatGPT, or Cursor and immediately spend the first few messages re-establishing who you are, what the project is, and what conventions the team follows. Vilix fixes this by automatically loading your saved context before each reply, so the AI already knows what you were working on, regardless of which tool you picked up this time.
The actual cost of the blank-slate problem
It does not feel like a big deal until you add it up. A quick description of your tech stack. The naming conventions you care about. The decision you made last week about how to structure the database schema. The fact that this project targets Node 20 and your team avoids class components. You type these things out once, twice, ten times, across ChatGPT, Claude, Cursor, and Codex, and none of them ever remember.
The result is not just wasted keystrokes. Every blank-slate conversation produces answers calibrated to a generic project, not yours. The AI suggests a pattern you already ruled out, uses a library you replaced three months ago, or asks a clarifying question you answered in a different tool yesterday. You correct it, move on, and do it all again tomorrow.
Why the problem is structural, not a missing feature
AI tools are stateless by design. Each conversation is isolated. Even tools with built-in memory usually scope it to one product (ChatGPT remembers things you told ChatGPT, Claude remembers things inside a Project, Cursor remembers nothing at all across sessions by default). There is no shared layer that all of them can read from and write to.
That shared layer is exactly what Vilix is. It sits outside every tool, connected once as a custom MCP connector at api.vilix.ai/mcp. From that point on, every supported tool reads from and writes to the same memory store, tied to your account, not to any single product.
How Vilix loads context automatically
The mechanism is two MCP tool calls that happen on every turn without you doing anything. Before the AI replies, it calls get_context, which pulls in recent messages, memories you have saved, semantically related past conversations, your user_rules, and the live state of any Projects and Tasks you have set up. After the reply, it calls save_turn to persist the exchange. The AI starts informed and ends having written the conversation to memory.
This means the context does not live in a system prompt you have to remember to paste. It does not live in a notes file you open in a sidebar. It lives server-side in your Vilix account and surfaces automatically, in every tool, on every turn.
A concrete example: Cursor to Claude without losing a beat
Say you spend a morning in Cursor building out an API route. You have told Vilix (via a Project and some saved memories) that this codebase uses Hono, targets Cloudflare Workers, and follows a specific error-handling pattern your team settled on in January. Cursor already knows all of this because get_context loaded it before your first message.
In the afternoon you switch to Claude to think through a tricky edge case in that same route. You open a new conversation, type your question, and Claude already knows the project is on Hono and Cloudflare Workers, knows your error-handling convention, and knows the route you were working on this morning because the session was saved. You did not paste anything. You did not re-explain the stack. You just asked your question.
That is the scenario Vilix is built for. You can read more about how it works across tools in the cross-AI memory deep dive and in the companion post on avoiding copy-paste context workflows.
Setting up project context in Vilix
There are three places where project details live in Vilix:
- Projects and Tasks: a lightweight project manager whose state auto-injects into every
get_contextcall. Create a Project for a codebase, add Tasks under it, and every AI tool that reads Vilix context sees the current project state without you doing anything extra. - Saved memories: explicit facts you want every tool to know. Your stack, your conventions, a key architectural decision. You can save these by asking any connected AI to remember something, or directly through the Vilix dashboard.
- project_rules: short directives scoped to a specific project. Think of them like a standing system prompt for that codebase: "use TypeScript strict mode", "prefer functional components", "log errors to Sentry not console.error". Once set, every AI sees them automatically when working in that project.
You set these up once. From then on, any supported tool you connect to Vilix inherits the full picture.
Which tools does Vilix support?
Any tool that accepts a custom MCP connector works. That currently includes ChatGPT, Claude, Claude Code, Cursor, Codex, Grok, Manus, GitHub Copilot, Windsurf, Lovable, OpenClaw, and Hermes. You connect each tool once by pointing it at api.vilix.ai/mcp, and the same memory store is shared across all of them. There is no browser extension to install and no per-session setup.
The result is that "start in Cursor, finish in Claude" is no longer a context reset. It is a continuation of the same thread of work.
Getting started
Vilix has a Free plan. The Pro plan ($19.99/month) includes a 7-day full trial so you can see the cross-tool memory working across your real projects before committing. Connect your first tool in a few minutes at the get-started page, and the blank-slate problem stops being your problem.
Frequently asked questions
Does Vilix work with every AI tool I use?
Vilix works with any tool that supports a custom MCP connector. Current confirmed tools include ChatGPT, Claude, Claude Code, Cursor, Codex, Grok, Manus, GitHub Copilot, Windsurf, Lovable, OpenClaw, and Hermes. If a tool lets you point it at a custom MCP endpoint, you can connect it to Vilix.
How does Vilix know which project context to load?
When get_context runs, it uses the content of your message plus your recent session history to perform semantic and keyword search over your saved memories, conversations, and Projects. The most relevant context surfaces automatically. You do not need to tag messages or specify a project name manually.
What if I use Claude for some tasks and Cursor for others?
That is the exact use case Vilix is built for. Both tools read from and write to the same memory store. Work you do in Cursor in the morning is available in Claude in the afternoon, and vice versa, without any copy-paste step.
Is my project context stored securely?
Yes. Context lives server-side in your Vilix account and is tied to your user identity, not stored on individual devices or inside any AI tool's servers. You can review the details on the security page.
Do I need to be on a paid plan to use cross-tool memory?
The Free plan includes cross-tool memory. The Pro plan ($19.99/month, with a 7-day full trial) adds higher memory limits and additional features. Most users find the free tier enough to evaluate whether Vilix solves the re-explaining problem for them.