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.

packages/vestige-mcpb/manifest.json

@@ -2,7 +2,7 @@
   "manifest_version": "0.2",
   "name": "vestige",
   "display_name": "Vestige",
-  "version": "1.1.0",
+  "version": "1.5.0",
   "description": "AI memory system built on 130 years of cognitive science. FSRS-6 spaced repetition, synaptic tagging, and local-first storage.",
   "author": {
     "name": "Sam Valladares",