Add AI Memory to Jupyter
Enhance Jupyter with long-term AI memory to persist key code cells, queries, and research insights across session.
Try it free
Pieces infuses Jupyter with long-term memory, allowing you to retain code snippets, data insights, and project context across sessions. Imagine recalling that crucial command or data transformation from weeks ago, directly within your Jupyter environment. Pieces makes it seamless.
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 automatically captures code, notebooks, and project metadata from Jupyter, creating an intelligent, searchable memory.
Trusted by individuals working for
Capture everything automatically
Pieces automatically captures code, notebooks, and contextual information from Jupyter, ensuring that your valuable work and insights are preserved. You maintain full control over what's captured, with easy opt-out options and robust security measures to protect your data. Pieces respects your privacy and your workflow.
Recall past work with ease
Pieces intelligently stores your Jupyter memories for up to nine months, creating a searchable archive of your projects. You can use time-based queries to quickly locate specific code snippets, data visualizations, or research findings from previous sessions. This means no more wasted time hunting through old notebooks.
Keep context across Jupyter workflows
Pieces helps you navigate your Jupyter history and maintain context across different projects. Easily trace the evolution of your code, understand the rationale behind specific analyses, and leverage past work to accelerate current projects. Pieces helps you build on your existing knowledge.
