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Implement pagination for search results and memory listings #8

@BunsDev

Description

@BunsDev

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:

  1. API layer — Accept cursor and limit query parameters in search/list endpoints
  2. DB layer — Use keyset pagination (WHERE id > ? ORDER BY id LIMIT ?) for consistent performance
  3. UI layer — Add "Load more" or infinite scroll to list views
  4. Response format — Return { data: [...], nextCursor: string | null, hasMore: boolean }

Acceptance Criteria

  • All list/search endpoints support cursor and limit parameters
  • 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 requestperformanceSpeed and resource optimization

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