feat(v2.0.5): Intentional Amnesia — active forgetting via top-down inhibitory control

First AI memory system to model forgetting as a neuroscience-grounded
PROCESS rather than passive decay. Adds the `suppress` MCP tool (#24),
Rac1 cascade worker, migration V10, and dashboard forgetting indicators.

Based on:
- Anderson, Hanslmayr & Quaegebeur (2025), Nat Rev Neurosci — right
  lateral PFC as the domain-general inhibitory controller; SIF
  compounds with each stopping attempt.
- Cervantes-Sandoval et al. (2020), Front Cell Neurosci PMC7477079 —
  Rac1 GTPase as the active synaptic destabilization mechanism.

What's new:
* `suppress` MCP tool — each call compounds `suppression_count` and
  subtracts a `0.15 × count` penalty (saturating at 80%) from
  retrieval scores during hybrid search. Distinct from delete
  (removes) and demote (one-shot).
* Rac1 cascade worker — background sweep piggybacks the 6h
  consolidation loop, walks `memory_connections` edges from
  recently-suppressed seeds, applies attenuated FSRS decay to
  co-activated neighbors. You don't just forget Jake — you fade
  the café, the roommate, the birthday.
* 24h labile window — reversible via `suppress({id, reverse: true})`
  within 24 hours. Matches Nader reconsolidation semantics.
* Migration V10 — additive-only (`suppression_count`, `suppressed_at`
  + partial indices). All v2.0.x DBs upgrade seamlessly on first launch.
* Dashboard: `ForgettingIndicator.svelte` pulses when suppressions
  are active. 3D graph nodes dim to 20% opacity when suppressed.
  New WebSocket events: `MemorySuppressed`, `MemoryUnsuppressed`,
  `Rac1CascadeSwept`. Heartbeat carries `suppressed_count`.
* Search pipeline: SIF penalty inserted into the accessibility stage
  so it stacks on top of passive FSRS decay.
* Tool count bumped 23 → 24. Cognitive modules 29 → 30.

Memories persist — they are INHIBITED, not erased. `memory.get(id)`
returns full content through any number of suppressions. The 24h
labile window is a grace period for regret.

Also fixes issue #31 (dashboard graph view buggy) as a companion UI
bug discovered during the v2.0.5 audit cycle:

* Root cause: node glow `SpriteMaterial` had no `map`, so
  `THREE.Sprite` rendered as a solid-coloured 1×1 plane. Additive
  blending + `UnrealBloomPass(0.8, 0.4, 0.85)` amplified the square
  edges into hard-edged glowing cubes.
* Fix: shared 128×128 radial-gradient `CanvasTexture` singleton used
  as the sprite map. Retuned bloom to `(0.55, 0.6, 0.2)`. Halved fog
  density (0.008 → 0.0035). Edges bumped from dark navy `0x4a4a7a`
  to brand violet `0x8b5cf6` with higher opacity. Added explicit
  `scene.background` and a 2000-point starfield for depth.
* 21 regression tests added in `ui-fixes.test.ts` locking every
  invariant in (shared texture singleton, depthWrite:false, scale
  ×6, bloom magic numbers via source regex, starfield presence).

Tests: 1,284 Rust (+47) + 171 Vitest (+21) = 1,455 total, 0 failed
Clippy: clean across all targets, zero warnings
Release binary: 22.6MB, `cargo build --release -p vestige-mcp` green
Versions: workspace aligned at 2.0.5 across all 6 crates/packages

Closes #31

crates/vestige-core/src/lib.rs

@@ -114,20 +114,27 @@ pub mod neuroscience;
 
 // Memory types
 pub use memory::{
-    ConsolidationResult, EmbeddingResult, IngestInput, KnowledgeNode, MatchType, MemoryStats,
-    NodeType, RecallInput, SearchMode, SearchResult, SimilarityResult, TemporalRange,
+    ConsolidationResult,
     // GOD TIER 2026: New types
-    EdgeType, KnowledgeEdge, MemoryScope, MemorySystem,
+    EdgeType,
+    EmbeddingResult,
+    IngestInput,
+    KnowledgeEdge,
+    KnowledgeNode,
+    MatchType,
+    MemoryScope,
+    MemoryStats,
+    MemorySystem,
+    NodeType,
+    RecallInput,
+    SearchMode,
+    SearchResult,
+    SimilarityResult,
+    TemporalRange,
 };
 
 // FSRS-6 algorithm
 pub use fsrs::{
-    initial_difficulty,
-    initial_stability,
-    next_interval,
-    // Core functions for advanced usage
-    retrievability,
-    retrievability_with_decay,
     FSRSParameters,
     FSRSScheduler,
     FSRSState,
@@ -135,6 +142,12 @@ pub use fsrs::{
     PreviewResults,
     Rating,
     ReviewResult,
+    initial_difficulty,
+    initial_stability,
+    next_interval,
+    // Core functions for advanced usage
+    retrievability,
+    retrievability_with_decay,
 };
 
 // Storage layer
@@ -146,9 +159,8 @@ pub use storage::{
 // Consolidation (sleep-inspired memory processing)
 pub use consolidation::SleepConsolidation;
 pub use consolidation::{
-    DreamEngine, DreamPhase, FourPhaseDreamResult, PhaseResult,
-    TriagedMemory, TriageCategory, CreativeConnection, CreativeConnectionType,
-    DreamInsight,
+    CreativeConnection, CreativeConnectionType, DreamEngine, DreamInsight, DreamPhase,
+    FourPhaseDreamResult, PhaseResult, TriageCategory, TriagedMemory,
 };
 
 // Advanced features (bleeding edge 2026)
@@ -162,6 +174,8 @@ pub use advanced::{
     AdaptiveEmbedder,
     ApplicableKnowledge,
     AppliedModification,
+    // Prediction Error Gating (solves bad vs good similar memory problem)
+    CandidateMemory,
     ChainStep,
     ChangeSummary,
     CompressedMemory,
@@ -175,16 +189,20 @@ pub use advanced::{
     // Sleep consolidation (automatic background consolidation)
     ConsolidationScheduler,
     ContentType,
+    CreateReason,
     // Cross-project learning
     CrossProjectLearner,
     DetectedIntent,
+    DiscoveredConnection,
+    DiscoveredConnectionType,
     DreamConfig,
     // DreamMemory - input type for dreaming
     DreamMemory,
-    DiscoveredConnection,
-    DiscoveredConnectionType,
     DreamResult,
     EmbeddingStrategy,
+    EvaluationIntent,
+    GateDecision,
+    GateStats,
     ImportanceDecayConfig,
     ImportanceScore,
     // Importance tracking
@@ -204,11 +222,14 @@ pub use advanced::{
     MemoryPath,
     MemoryReplay,
     MemorySnapshot,
+    MergeStrategy,
     Modification,
     Pattern,
     PatternType,
     PredictedMemory,
     PredictionContext,
+    PredictionErrorConfig,
+    PredictionErrorGate,
     ProjectContext,
     ReasoningChain,
     ReconsolidatedMemory,
@@ -217,25 +238,16 @@ pub use advanced::{
     ReconsolidationStats,
     RelationshipType,
     RetrievalRecord,
+    SimilarityResult as PredictionSimilarityResult,
     // Speculative retrieval
     SpeculativeRetriever,
+    SupersedeReason,
     SynthesizedInsight,
     UniversalPattern,
+    UpdateType,
     UsageEvent,
     UsagePattern,
     UserAction,
-    // Prediction Error Gating (solves bad vs good similar memory problem)
-    CandidateMemory,
-    CreateReason,
-    EvaluationIntent,
-    GateDecision,
-    GateStats,
-    MergeStrategy,
-    PredictionErrorConfig,
-    PredictionErrorGate,
-    SimilarityResult as PredictionSimilarityResult,
-    SupersedeReason,
-    UpdateType,
 };
 
 // Codebase memory (Vestige's killer differentiator)
@@ -315,14 +327,20 @@ pub use neuroscience::{
     ContextReinstatement,
     ContextWeights,
     DecayFunction,
+    // Emotional Memory (Brown & Kulik 1977, Bower 1981, LaBar & Cabeza 2006)
+    EmotionCategory,
     EmotionalContext,
+    EmotionalEvaluation,
     EmotionalMarker,
+    EmotionalMemory,
+    EmotionalMemoryStats,
     EncodingContext,
     FullMemory,
     // Hippocampal Indexing (Teyler & Rudy, 2007)
     HippocampalIndex,
     HippocampalIndexConfig,
     HippocampalIndexError,
+    INDEX_EMBEDDING_DIM,
     ImportanceCluster,
     ImportanceConsolidationConfig,
     ImportanceEncodingConfig,
@@ -374,40 +392,34 @@ pub use neuroscience::{
     TemporalMarker,
     TimeOfDay,
     TopicalContext,
-    INDEX_EMBEDDING_DIM,
-    // Emotional Memory (Brown & Kulik 1977, Bower 1981, LaBar & Cabeza 2006)
-    EmotionCategory,
-    EmotionalEvaluation,
-    EmotionalMemory,
-    EmotionalMemoryStats,
 };
 
 // Embeddings (when feature enabled)
 #[cfg(feature = "embeddings")]
 pub use embeddings::{
-    cosine_similarity, euclidean_distance, Embedding, EmbeddingError, EmbeddingService,
-    EMBEDDING_DIMENSIONS,
+    EMBEDDING_DIMENSIONS, Embedding, EmbeddingError, EmbeddingService, cosine_similarity,
+    euclidean_distance,
 };
 
 // Search (when feature enabled)
 #[cfg(feature = "vector-search")]
 pub use search::{
-    linear_combination,
-    reciprocal_rank_fusion,
     HybridSearchConfig,
     // Hybrid search
     HybridSearcher,
     // Keyword search
     KeywordSearcher,
-    VectorIndex,
-    VectorIndexConfig,
-    VectorIndexStats,
-    VectorSearchError,
+    RerankedResult,
     // GOD TIER 2026: Reranking
     Reranker,
     RerankerConfig,
     RerankerError,
-    RerankedResult,
+    VectorIndex,
+    VectorIndexConfig,
+    VectorIndexStats,
+    VectorSearchError,
+    linear_combination,
+    reciprocal_rank_fusion,
 };
 
 // ============================================================================
@@ -450,6 +462,8 @@ pub mod prelude {
         // Sleep consolidation
         ConsolidationScheduler,
         CrossProjectLearner,
+        EvaluationIntent,
+        GateDecision,
         ImportanceTracker,
         IntentDetector,
         LabileState,
@@ -459,14 +473,12 @@ pub mod prelude {
         MemoryReplay,
         Modification,
         PredictedMemory,
+        // Prediction Error Gating
+        PredictionErrorGate,
         ReconsolidatedMemory,
         // Reconsolidation
         ReconsolidationManager,
         SpeculativeRetriever,
-        // Prediction Error Gating
-        PredictionErrorGate,
-        GateDecision,
-        EvaluationIntent,
     };
 
     // Codebase memory