github doobidoo/mcp-memory-service v10.3.0
v10.3.0 - SQL-Level Filtering Optimization

latest releases: v10.54.0, v10.53.0, v10.52.0...
3 months ago

🚀 Performance Breakthrough: SQL-Level Filtering

This release delivers dramatic performance improvements for large datasets through SQL-level filtering optimization, addressing issue #374.

🎯 Key Highlights

115x Performance Speedup

  • Tag filtering: 116ms → 1ms (115x faster at 1,000 memories)
  • Time range filtering: 36ms → 0.49ms (74x faster)
  • Memory usage: 147MB → 2.5MB (98% reduction at 10,000 memories)

🚀 New Backend Methods

  • delete_by_tags: Efficient bulk deletion by tags
  • get_memories_by_time_range: Time-based memory retrieval
  • Complete performance benchmark suite

🔧 Enhanced API Consistency

  • Standardized delete_by_tags signature across all backends
  • Returns 3-tuple (count, message, deleted_hashes) for audit trail
  • Improved exception handling and validation

📊 Performance Benchmarks

Tag Filtering

Memories Python SQL Speedup
100 2.98ms 0.34ms 8.7x
500 31.55ms 0.66ms 48.0x
1000 116.23ms 1.01ms 115.2x

Time Range Filtering

Memories Python SQL Speedup
100 1.89ms 0.06ms 32.1x
500 12.97ms 0.29ms 45.5x
1000 36.43ms 0.49ms 74.4x

Memory Usage

Memories Python (Peak) SQL (Peak) Reduction
1000 14.78 MB 0.24 MB 98.4%
5000 73.79 MB 1.24 MB 98.3%
10000 147.57 MB 2.49 MB 98.3%

📦 Installation

pip install --upgrade mcp-memory-service

🔗 Related

📝 Full Changelog

See CHANGELOG.md for complete details.


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