doobidoo/mcp-memory-service v8.30.0 on GitHub

[8.30.0] - 2025-11-23

Adaptive Chart Granularity - Analytics charts now use semantically appropriate time intervals for better trend visualization
- Last Month view: Changed from 3-day intervals to weekly aggregation for clearer monthly trends
- Last Year view: Uses monthly aggregation for annual overview
- Human-readable labels: Charts display clear interval formatting:
  - Daily view: "Nov 15" format
  - Weekly aggregation: "Week of Nov 15" format
  - Monthly aggregation: "November 2024" format
- Improved UX: Better semantic alignment between time period and chart granularity
- Files Modified: src/mcp_memory_service/web/api/analytics.py (lines 307-345), src/mcp_memory_service/web/static/app.js (line 3661)

CRITICAL: Interval Aggregation Bug - Multi-day intervals (weekly, monthly) now correctly aggregate across entire period
- Problem: Intervals were only counting memories from the first day of the interval, not the entire period
- Impact: Analytics showed wildly inaccurate data (e.g., 0 memories instead of 427 for Oct 24-30 week)
- Root Cause: strftime format in date grouping only used the first timestamp, not the interval's date range
- Solution: Updated aggregation logic to properly filter and count all memories within each interval
- Files Modified: src/mcp_memory_service/web/api/analytics.py (lines 242-267)
CRITICAL: Data Sampling Bug - Analytics now fetch complete historical data with proper date range filtering
- Problem: API only fetched 1,000 most recent memories, missing historical data for longer time periods
- Impact: Charts showed incomplete or missing data for older time ranges
- Solution: Increased fetch limit to 10,000 memories with proper created_at >= start_date filtering
- Files Modified: src/mcp_memory_service/web/api/analytics.py (lines 56-62)
- Performance: Maintains fast response times (<200ms) even with larger dataset

Analytics API: Improved data fetching with larger limits and proper date filtering for accurate historical analysis