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Felipe Cardoso 6be8e2e88d 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.

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

cache

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

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

consolidation

feat(memory): implement memory consolidation service and tasks (#95 )

2026-01-05 03:04:28 +01:00

episodic

feat(memory): add episodic memory implementation (Issue #90 )

2026-01-05 02:08:16 +01:00

indexing

feat(memory): implement memory indexing and retrieval engine (#94 )