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trovex vs Cursor memory

Cursor's memory keeps project context inside Cursor. trovex serves canonical repo docs to any MCP client. Here's the honest comparison.

Short answer

Cursor's memory features — Rules, the Memories experiment, and the community Memory Bank pattern — keep project context inside Cursor, scoped to a project. That's convenient if you live in Cursor. trovex is editor-independent: it serves canonical docs from your repo over MCP to any client (Claude Code, Cursor, Windsurf, Cline), with a freshness marker, for about 60% fewer tokens per lookup — so one source of truth follows you across tools and teammates instead of living in one editor.

How does Cursor's memory work?

Cursor offers Rules — static text you maintain that loads into every conversation in a project — and has experimented with a Memories feature that stored project-level facts from chats (its availability has changed across versions). The community Memory Bank is a documentation-driven pattern layered on top. All of these are scoped to a project and live within Cursor.

Cursor's built-in memory features have changed between releases — check Cursor's current docs for exactly what's available in your version.

Where does that fall short?

How is trovex different?

trovex stores the source of truth in your repo and serves it over the Model Context Protocol, so any MCP client and any teammate read the same canonical docs. It routes a query to the one current doc (with a canonical / stale / duplicate marker), serves the section that answers, and lets agents write records back — a shared source of truth that isn't tied to one editor. It runs locally: SQLite + ONNX, no cloud or keys.

Cursor memory vs trovex
CapabilityCursor memory / rulestrovex
Works across editors / clients— Cursor only any MCP client
Shared across teammates— individual / per-project one store, all read it
Freshness signal— static rules canonical / stale / duplicate
Routes a query to the right doc~ rules load wholesale one canonical answer
Write-back from agents~ manual / limited shared write path
Runs locally, no keys in-editor SQLite + ONNX

When is Cursor's memory the right choice?

If you work entirely inside Cursor and want zero setup, its rules and memory are the path of least resistance — keep a short rules file and you're done. Reach for trovex when you use more than one agent or client, when teammates need the same current docs, or when project knowledge spans many markdown files that drift and need routing to the one canonical answer. They layer fine: Cursor rules for editor behavior, trovex for the docs.

FAQ

What is the difference between trovex and Cursor's memory?

Cursor's memory features (Rules, Memories, the community Memory Bank) keep project context inside Cursor, scoped to a project. trovex is editor-independent: it serves canonical repo docs over MCP to any client — Claude Code, Cursor, Windsurf, Cline — with a freshness marker, so the same source of truth follows you across tools.

Does Cursor's memory work across projects and other editors?

Generally no. It's scoped per project and lives inside Cursor, so an insight saved in one repo doesn't surface in another, and opening another agent loses that context. trovex stores docs in your repo and serves them over MCP, so any MCP client and teammate read the same canonical content.

Can I use trovex alongside Cursor's rules?

Yes. Keep a short set of Cursor rules for editor-specific behavior, and use trovex for the project's documentation — the many markdown files that go stale and need routing to the one current answer, with a freshness marker and a shared write path static rules don't have.

One source of truth, in any client.

Point trovex at your repo and read the same canonical docs everywhere.

Open source. No cloud, no API keys. Your docs never leave your machine.