Lovable memory: knowledge that applies, skills that load
Lovable separates always-on knowledge from on-demand skills, which is a cleaner model than most chat products manage. The gap is the same as everywhere: what happens after the code leaves the product.
Lovable. Sources checked 2026-09-25.
How Lovable handles memory today
Lovable documents workspace knowledge, which applies across all projects in a workspace, and project knowledge, which is scoped to one project: coding standards, libraries, naming, and architectural rules. Skills are separate, loaded only when a request matches their description.
Both knowledge scopes are maintained by you. Conversation context accumulates inside a project and does not follow the code to a repository.
What Lovable forgets
The model splits cleanly. The lifetime does not.
- Conversation context once the project is exported to a repository.
- Cross-tool continuity, so the reasoning built in Lovable is invisible to your editor and CLI agents.
- Decisions that were never written into knowledge, which is the normal case for fast iteration.
- Team handoffs, unless everyone reads the same knowledge files closely.
The fix with MemoryRouter
Use knowledge for standards and a vault for the record. When the code lands in a repository, the memory is already there for Claude Code, Codex, Cursor, and the rest.
- 1
Install the hook package in the exported repository
Codex example
npx -y memoryrouter-codex init --scope user - 2
Move decisions out of knowledge
Knowledge should describe standards. Anything that answers "why is it like this" belongs in memory, because that question changes as the project does.
Carry project memory from Lovable into your repo and tools. 14-day free trial.
Related
Lovable memory FAQ
Sources
Sources checked 2026-09-25. Tool behavior changes; check the vendor docs before relying on a detail.