feat(memory): #62-12 Caching Layer #98

Closed
opened 2026-01-05 00:17:16 +00:00 by cardosofelipe · 0 comments

Part of Issue #62 - Agent Memory System

Phase: 4 (Integration)
Priority: P2
Complexity: Medium

Overview

Implement caching for memory operations to improve performance.

Features

  • Hot memory caching (frequently accessed memories)
  • Retrieval result caching
  • Embedding caching (avoid recomputing)
  • Cache invalidation strategies

Caching Strategy

  1. Hot Memory Cache: LRU cache for frequently accessed memories
  2. Retrieval Cache: Cache search results by query hash
  3. Embedding Cache: Cache embeddings by content hash
  4. Invalidation: TTL-based + explicit invalidation on updates

Performance Targets

  • Cache hit rate > 80% for hot memories
  • Retrieval speedup > 10x for cached queries

Acceptance Criteria

  • All caching layers implemented
  • Invalidation working correctly
  • >90% test coverage
  • make validate-all passes
  • Multi-agent review completed
## Part of Issue #62 - Agent Memory System **Phase:** 4 (Integration) **Priority:** P2 **Complexity:** Medium ## Overview Implement caching for memory operations to improve performance. ## Features - [ ] Hot memory caching (frequently accessed memories) - [ ] Retrieval result caching - [ ] Embedding caching (avoid recomputing) - [ ] Cache invalidation strategies ## Caching Strategy 1. **Hot Memory Cache**: LRU cache for frequently accessed memories 2. **Retrieval Cache**: Cache search results by query hash 3. **Embedding Cache**: Cache embeddings by content hash 4. **Invalidation**: TTL-based + explicit invalidation on updates ## Performance Targets - Cache hit rate > 80% for hot memories - Retrieval speedup > 10x for cached queries ## Acceptance Criteria - [ ] All caching layers implemented - [ ] Invalidation working correctly - [ ] >90% test coverage - [ ] `make validate-all` passes - [ ] Multi-agent review completed
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