## for Cursor
Add Memory to Cursor
Your AI pair programmer finally remembers what you've been working on.
Every session starts from zero
Without memory, Cursor forgets everything between sessions.
- —Every Cursor session starts from scratch — your AI forgets all prior context.
- —You re-explain your architecture, conventions, and decisions over and over.
- —.cursorrules helps with style, but it can't capture evolving project knowledge.
- —Complex refactors stall because Cursor can't recall what you decided last session.
Basic Memory changes that
Give Cursor a persistent, searchable knowledge base it can read and write to.
Persistent context
Cursor reads and writes to a knowledge base that carries over between sessions. Your architecture, patterns, and decisions are always at hand.
Searchable knowledge
Every conversation builds a searchable knowledge graph. Cursor can pull up relevant context from past sessions automatically.
Plain text you own
Everything is stored as Markdown files on your machine. Read them, edit them, version them with git. No lock-in, no cloud dependency.
Native MCP integration
Cursor supports the Model Context Protocol natively. Basic Memory plugs right in — no extensions or workarounds needed.
One command to get started
Quick Setup
{"mcpServers":{"basic-memory-cloud":{"url":"https://cloud.basicmemory.com/mcp"}}}That's it. Full setup guide →
What users are saying
“Basic Memory changed my whole relationship with LLMs... I switched from GPT and Gemini to exclusively Claude and Claude Code because of this integration and am completely revamping all our companies processes around a basic memory workflow now.”
Alex
TrainerDay
“I don't code without Basic Memory anymore. It's such a time saver to be able to refer to projects I don't currently have active and keep a running log of all of my learnings and ProTips. Absolutely love it.”
@groksrc
Developer
Start building with Cursor
Try Basic Memory free for 7 days. Your notes stay yours either way.
7-Day Free Trial
$15/seat/month
Graduated team pricing- AI collaboration via MCP
- Shared workspaces for teams and agents
- Team member management and audit logs
- Full-text search across notes and projects
- Desktop, mobile, and web access
- Private, exportable Markdown files
- 50,000 notes per seat
- 1,000 note updates per seat per day
- Cancel anytime, your data stays yours
Open source available for power users
View on GitHub
