feat: Vestige v1.5.0 — Cognitive Engine, memory dreaming, graph exploration, predictive retrieval

28-module CognitiveEngine with full neuroscience pipeline on every tool call.
FSRS-6 now fully automatic: periodic consolidation (6h timer + inline every
100 tool calls), real retrievability formula, episodic-to-semantic auto-merge,
cross-memory reinforcement, Park et al. triple retrieval scoring, ACT-R
base-level activation, personalized w20 optimization.

New tools (19 → 23):
- dream: memory consolidation via replay, discovers hidden connections
- explore_connections: graph traversal (chain, associations, bridges)
- predict: proactive retrieval based on context and activity patterns
- restore: memory restore from JSON backups

All existing tools upgraded with cognitive pre/post processing pipelines.
33 files changed, ~4,100 lines added.

crates/vestige-core/src/consolidation/sleep.rs

@@ -188,6 +188,10 @@ impl ConsolidationRun {
             decay_applied: self.decay_applied,
             duration_ms: self.start_time.elapsed().as_millis() as i64,
             embeddings_generated: self.embeddings_generated,
+            duplicates_merged: 0,
+            neighbors_reinforced: 0,
+            activations_computed: 0,
+            w20_optimized: None,
         }
     }
 }