v0.8.0: Temporal Graph, Heat Scores, Auto-Consolidation, BM25 Hybrid

v0.8.0 — AI Memory Landscape 2026 Features

Temporal Graph Edges

• valid/ invalid columns for historical edge queries
• invalidate_edge() for soft-delete edge invalidation
• Active edge filtering in get_linked() and �xpand_graph()
• Temporal conflict resolution in link_memories()
• get_edges_at_time() and get_active_edge_count() helpers

Heat-Score Promotion

• heat_score column on memory_meta (0.0–1.0)
• calculate_heat_score() with recency/frequency/freshness weighting
• classify_tier() for hot/warm/cold/archived classification
• Tier-boosted search ranking (+0.15 hot, -0.15 archived)
• Automatic heat score updates on memory access

On-Write Deduplication

• Semantic dedup check on store (cosine similarity > 0.92)
• duplicate_of metadata for flagged duplicates
• Best-effort dedup that never blocks storage

Auto-Consolidation Daemon

• ConsolidationDaemon background thread
• Opt-in via consolidation.enabled: true in config
• Configurable interval and consolidation parameters
• VaultEngine lifecycle integration

BM25 Hybrid Retrieval

• FTS5 virtual table with auto-sync triggers
• �m25_search() method on SQLiteStore
• Hybrid search: 60% vector + 40% BM25
• Score normalization and blending