Usage Notes and Optimization Suggestions
caveat
- Document quality: To ensure that
memory_bankMarkdown files in AI are accurate and clear, and the effectiveness of AI depends greatly on the quality of the document. - Regular backups: It is recommended that Memory Bank files be backed up regularly to prevent accidental loss
- Conversational Starting Habits: Each time a new session begins, enter the
follow your custom instructionsLoading Context
Optimization Recommendations
- Document Breakdown: In complex projects, the
techContext.mdSubdivided into multiple files (e.g.apiContext.md,uiContext.md) - Token Optimization: Utilize the hierarchical loading function to load only the documents related to the current task, reducing unnecessary consumption of tokens
- increase
activeContext.md: Record the current work status (e.g. "Payment module under development") to help AI better understand the current task. - timely update: Run in a timely manner after completion of major development phases
update memory bankUpdate Documentation
Following these tips will maximize the effectiveness of Cursor Memories and improve development efficiency.
This answer comes from the articleCursor Memories: Provides persistent context memory for Cursors.The
May not be reproduced without permission:AI productivity tools " What are the considerations and optimization suggestions for using Cursor Memories?
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