Add AI Memory to CodeSandbox
Make your React playground smarter with long-term memory. Instantly access past snippets, configs, and workflows
Try it free
With Pieces, your CodeSandbox projects are automatically saved as memories, preserving code snippets, dependencies, and configurations. Recall previous experiments and prototypes, enabling you to quickly reuse successful approaches and avoid repeating past errors, significantly accelerating your React development workflow.
1
Install & launch PiecesOS
Install and run Pieces OS on your device.
2
Enable Long-Term Memory
Open the PiecesOS menu from your tray and enable Long-Term Memory.
3
Start using memory
Pieces captures code, dependencies, and configurations, enabling you to search and reuse them directly within CodeSandbox.
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Capture context automatically
Pieces learns from your CodeSandbox activity, intelligently capturing code snippets, dependencies, and project configurations. This capture is context-aware, ensuring that the most relevant information is preserved. You have complete control over what is saved and can easily opt out or delete memories at any time. Security is paramount, with all data stored locally on your device, ensuring your code remains private.
Find code faster across time
Pieces enhances your CodeSandbox experience by creating a searchable archive of your past projects and coding sessions. It intelligently stores memories from CodeSandbox for up to 9 months, allowing you to perform time-based queries to quickly locate specific code snippets, configurations, or solutions you developed weeks or months ago. This eliminates the frustration of searching through old projects manually.
Keep coding momentum flowing
Pieces bridges the gaps in your CodeSandbox workflow by providing instant access to your coding history and relevant contexts. Easily navigate through past experiments, chat conversations related to your code, and other memories, all within the Pieces interface. This integration maintains coding momentum by removing the need to switch between different applications or manually reconstruct past workflows.
