Build with full memory: Vilix AI + Lovable
Connect Vilix AI to Lovable's build chat to retrieve saved project context. Learn the setup and why this does not add memory to your published app.
Lovable builds apps from a prompt. Useful context includes the stack you use, the decisions you've made, and the tasks you've scoped. That work may be spread across a planning thread in ChatGPT, an architecture discussion in Claude, and research in Manus. Once you've saved it to Vilix AI, Lovable's build chat can request the relevant context and use it alongside your instructions.
Connect Vilix AI, test retrieval and saving, then use it to bring your planning into the build.
Connect Vilix AI as a personal MCP server in Lovable
In Lovable:
Open Connectors and select the + button
Choose MCP server
Name it
Vilix AIand set the Server URL tohttps://api.vilix.ai/mcpChoose Add & authorize to complete OAuth
Lovable supports personal MCP connectors on all plans, although a workspace admin can disable them. Your connection is available across your projects and uses your own credentials; other workspace members need their own connections. After authorizing Vilix AI, add the memory instructions and test the tool calls in your build chat.
The workflow: build with full cross-tool memory
A typical workflow brings planning, research, and building together:
Plan the product in ChatGPT or Claude. Describe the features, constraints, and approaches you want to avoid.
Research competitors and APIs with an agent like Manus, then record the approach you choose.
Capture the decisions by saving the completed exchanges to Vilix AI. Create project tasks for the scope you want to track, and check that the saves and task updates succeed.
Build in Lovable with Vilix AI connected to the same account. Ask the build chat to retrieve the relevant project decisions and tasks, and check them before it starts implementing.
Bringing the right decisions into the build chat can reduce repeated explanations. Check that the retrieved context includes the constraints that matter for this build. It is the same principle as not re-explaining your project to AI every time, applied when you generate the app.
What to expect, and what not to
The connection gives Lovable's build chat access to your Vilix AI context. It does not add Vilix AI to the runtime of the app you publish. Add instructions for this sequence: call get_context with your latest message, use the returned context to compose a reply, call save_turn with the exact user message and composed reply, then return that same reply after the save succeeds. Reuse chat_id within the conversation. Test that retrieval and saving both succeed; the connector only exposes the tools, and Lovable must invoke them.
You can plan in a different connected tool, save the decisions in Vilix AI, and ask Lovable's build chat to retrieve them. Whether a later exchange is saved depends on the tool calls Lovable actually makes.
Frequently asked questions
How do I connect Vilix AI to Lovable?
In Lovable, open Connectors, select the + button, and choose MCP server. Name it Vilix AI, enter https://api.vilix.ai/mcp, and choose Add & authorize for OAuth. Then verify retrieval and saving with the Vilix AI instructions.
Is there a paid plan or extra cost to connect Vilix AI?
Personal MCP connectors are available on all Lovable plans, subject to workspace settings. Lovable usage and the connected service can have their own limits. You will need a Vilix AI account, which you can start free. The Free plan has no time limit, and Pro includes a 7-day trial.
Does Lovable remember context between builds like a chat tool?
The connection provides context to Lovable's build chat, separate from the runtime of your published app. Memory stays in your Vilix AI account; reads and writes depend on the tools available and the actions the build chat invokes.
Where should I plan and capture the context?
Plan in a supported client such as ChatGPT, Claude, Cursor, or Manus, with Vilix AI authenticated and its memory instructions configured. Check that the relevant exchanges are saved, and create or update project tasks when needed. Lovable can then request that saved context from the same Vilix AI account.