Felipe Cardoso 6954774e36 feat(memory): implement caching layer for memory operations (#98) ...

Add comprehensive caching layer for the Agent Memory System:

- HotMemoryCache: LRU cache for frequently accessed memories
  - Python 3.12 type parameter syntax
  - Thread-safe operations with RLock
  - TTL-based expiration
  - Access count tracking for hot memory identification
  - Scoped invalidation by type, scope, or pattern

- EmbeddingCache: Cache embeddings by content hash
  - Content-hash based deduplication
  - Optional Redis backing for persistence
  - LRU eviction with configurable max size
  - CachedEmbeddingGenerator wrapper for transparent caching

- CacheManager: Unified cache management
  - Coordinates hot cache, embedding cache, and retrieval cache
  - Centralized invalidation across all caches
  - Aggregated statistics and hit rate tracking
  - Automatic cleanup scheduling
  - Cache warmup support

Performance targets:
- Cache hit rate > 80% for hot memories
- Cache operations < 1ms (memory), < 5ms (Redis)

83 new tests with comprehensive coverage.

🤖 Generated with [Claude Code](https://claude.com/claude-code)

Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>

2026-01-05 04:04:13 +01:00

..

__init__.py

feat(memory): implement caching layer for memory operations (#98)

2026-01-05 04:04:13 +01:00

cache_manager.py

feat(memory): implement caching layer for memory operations (#98)

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embedding_cache.py

feat(memory): implement caching layer for memory operations (#98)

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hot_cache.py

feat(memory): implement caching layer for memory operations (#98)

2026-01-05 04:04:13 +01:00