Cursor IDE Partitions
Cursor stores per-partition browser data under its Partitions directory for embedded web surfaces inside the IDE, including Chromium disk cache entries, GPUCache data, Code Cache V8 bytecode, and shader-related blobs used by accelerated UI components. These files speed up loading account pages, extensions UI, settings webviews, and other partitioned content, but they can become stale after Cursor, Chromium, or graphics driver updates. Kudu removes only disposable partition cache files so Cursor can rebuild them, while preserving sessions, persistent web data, settings, accounts, and saved work.
Why clean Cursor IDE Partitions?
- Invalidated V8 Code Cache after a Cursor update can make login pages, settings panels, or extension webviews open slowly on first use until the bytecode is rebuilt
- Stale Chromium disk cache entries can keep embedded web content serving outdated scripts or assets, which shows up as broken sign-in flows, missing UI elements, or pages that never fully finish loading
- GPUCache data from an older graphics driver version can be rejected after a driver update, causing black panels, flickering webviews, or sluggish redraws in accelerated parts of the interface
- Corrupted shader-related cache blobs can force Chromium to recompile rendering paths repeatedly, which users notice as stutter when opening panels, scrolling rich web content, or switching tabs
- Oversized partition caches can consume hundreds of megabytes across multiple embedded web surfaces, leaving Cursor using more AppData space than expected even though no projects were added
- Damaged cache records inside one partition can affect only that isolated web surface, leading to a specific page such as account management or an extension view failing while the rest of Cursor still works
Cache paths Kudu targets
Windows
%AppData%/Cursor/Partitions |
Common questions about Cursor IDE Partitions
Download Kudu and reclaim your disk space.
Available on Windows, macOS, and Linux. No account required, no feature gates, no telemetry without consent. All cleaning targets are open source and community-auditable.