# Cursor Rules vs StremAI

Cursor Rules are instructions humans write — .cursor/rules files and dashboard-managed Team Rules that guide agent behavior. They are the right place for conventions and standards, and Cursor documentation describes Rules as its persistence mechanism. What Rules do not do is update themselves with what agents discover while working. StremAI adds that learned layer over MCP: agents store lessons as they go, and connected agents can recall them in later sessions — in Cursor, and in other tools connected to the same memory. Rules remain the place for "always do X"; StremAI holds "here is what we learned."

Verified with Claude Code and Claude Desktop; Cursor, Codex, Windsurf, OpenClaw, and other MCP clients are supported or in active verification.

## What Cursor Rules are great at

Cursor Rules are persistent, reusable context at the prompt level. Project rules, user rules, and team rules are a good home for conventions, standards, and instructions humans want Cursor to follow.

If your issue is that Cursor needs a stable rule before every task, use Rules. That is their job.

## The gap, as scope

Cursor documentation describes Rules as the persistence mechanism: human-written instructions. It does not describe a current self-updating learned-memory feature in the same docs.

StremAI adds learned memory over MCP: lessons agents store while working, recallable in later sessions in Cursor and other connected tools.

## Using both

Use Cursor Rules for "always do X" and StremAI for "here is what we learned."

This lets Cursor keep following your written conventions while connected agents build a shared memory of project decisions, pitfalls, and handoffs.

## When you don't need StremAI

Skip it if you use one AI tool, in one repository, on one machine, and its built-in memory plus a CLAUDE.md or AGENTS.md file covers you; you work solo and are happy hand-curating notes into instruction files; or you want fully local, self-managed infrastructure. Open-source MCP memory servers are a reasonable choice if you prefer running your own. StremAI earns its place when agents span multiple tools, machines, or teammates, and when you want memory that is shared, attributed, and user-controlled without operating the layer yourself.

## FAQ

### Does Cursor have memory?

Cursor documents Rules as persistent, reusable context. StremAI adds a learned memory layer over MCP for context agents store while working.

### What is the difference between Cursor Rules and memories?

Rules are instructions humans write. Memories are lessons connected agents store and recall from later sessions.

### How do I make Cursor remember things across projects?

Use Rules for project instructions, and connect Cursor to StremAI when learned context needs to cross sessions, projects, tools, or teammates.

### How do I add MCP memory to Cursor?

Connect Cursor to the hosted StremAI MCP endpoint where supported, or use the API-key fallback when the client cannot complete OAuth/browser sign-in.

### Can Cursor and Claude Code share context?

Yes, when both are connected to the same StremAI project. A memory stored from one connected agent can be recalled by another connected agent with access.

## Sources

- Cursor Rules documentation: https://cursor.com/docs/context/memories (accessed 2026-07-07) — Rules as persistent, reusable prompt-level context.

## Start

Connect Cursor to shared memory: https://stremai.com/getting-started

Markdown alternate for https://stremai.com/compare/cursor-rules-vs-stremai: https://stremai.com/compare/cursor-rules-vs-stremai.md