feat(memory): #62-8 Memory Indexing & Retrieval

cardosofelipe commented

2026-01-05 00:16:27 +00:00

Owner

Part of Issue #62 - Agent Memory System

Phase: 3 (Advanced Features)
Priority: P1
Complexity: High

Overview

Implement comprehensive indexing and retrieval with vector embeddings and multiple index types.

Components

backend/app/services/memory/indexing/index.py - Memory indexer
backend/app/services/memory/indexing/retrieval.py - Retrieval engine

Features

Vector embeddings for all memory types
Temporal index (by time)
Entity index (by entities mentioned)
Outcome index (by success/failure)
Hybrid retrieval (vector + filters)
Relevance scoring
Retrieval caching

Performance Targets

All retrieval operations: <100ms P95

Acceptance Criteria

All indexing strategies implemented
Hybrid retrieval working
>90% test coverage
make validate-all passes
Multi-agent review completed

## Part of Issue #62 - Agent Memory System **Phase:** 3 (Advanced Features) **Priority:** P1 **Complexity:** High ## Overview Implement comprehensive indexing and retrieval with vector embeddings and multiple index types. ## Components - `backend/app/services/memory/indexing/index.py` - Memory indexer - `backend/app/services/memory/indexing/retrieval.py` - Retrieval engine ## Features - [ ] Vector embeddings for all memory types - [ ] Temporal index (by time) - [ ] Entity index (by entities mentioned) - [ ] Outcome index (by success/failure) - [ ] Hybrid retrieval (vector + filters) - [ ] Relevance scoring - [ ] Retrieval caching ## Performance Targets - All retrieval operations: <100ms P95 ## Acceptance Criteria - [ ] All indexing strategies implemented - [ ] Hybrid retrieval working - [ ] >90% test coverage - [ ] `make validate-all` passes - [ ] Multi-agent review completed