Memory Banks and Persistent Context for Long-Term Projects
Explore how to create and utilize Memory Banks in Cursor AI to maintain a persistent, high-level understanding of your project's architecture and decisions. Learn to separate factual knowledge from instructions to enable the AI to provide accurate, context-aware assistance across multiple sessions, improving collaboration on long-term coding projects.
In our previous lessons, we learned how to provide the AI with context on a per-task basis using @-references and project-wide instructions using .cursor/rules. While powerful, these methods are either temporary (tied to a single chat) or focused on providing rules and instructions. As projects grow over weeks and months, a new challenge emerges: how do we ensure that the AI maintains a consistent, high-level understanding of our project’s core architecture and key decisions without us having to re-explain them constantly?
This is the problem that Cursor’s Memory ...