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Implement pagination for search results and memory listings #8
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enhancementNew feature or requestNew feature or requestperformanceSpeed and resource optimizationSpeed and resource optimization
Description
Problem
Queries currently load results with high arbitrary limits and no proper pagination. As the database grows, this will cause:
- Excessive memory usage on the server
- Slow page loads for users
- Potential browser performance issues rendering large lists
Affected areas: memory entry listings, trace search, artifact explorer, investigation results.
Proposed Solution
Implement cursor-based pagination:
- API layer — Accept
cursorandlimitquery parameters in search/list endpoints - DB layer — Use keyset pagination (
WHERE id > ? ORDER BY id LIMIT ?) for consistent performance - UI layer — Add "Load more" or infinite scroll to list views
- Response format — Return
{ data: [...], nextCursor: string | null, hasMore: boolean }
Acceptance Criteria
- All list/search endpoints support
cursorandlimitparameters - Default page size is reasonable (e.g., 25-50 items)
- UI shows pagination controls or infinite scroll
- Performance is consistent regardless of total dataset size
- Backward compatible — omitting pagination params returns first page
🤖 Generated with Claude Code
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enhancementNew feature or requestNew feature or requestperformanceSpeed and resource optimizationSpeed and resource optimization