fix: closes #675

app.js

@@ -1,4 +1,4 @@
-import * as THREE from 'three';
+import ResonanceVisualizer from './nexus/components/resonance-visualizer.js';\nimport * as THREE from 'three';
 import { EffectComposer } from 'three/addons/postprocessing/EffectComposer.js';
 import { RenderPass } from 'three/addons/postprocessing/RenderPass.js';
 import { UnrealBloomPass } from 'three/addons/postprocessing/UnrealBloomPass.js';
@@ -597,7 +597,7 @@ class PSELayer {
 
 let pseLayer;
 
-let metaLayer, neuroBridge, cbr, symbolicPlanner, knowledgeGraph, blackboard, symbolicEngine, calibrator;
+let resonanceViz, metaLayer, neuroBridge, cbr, symbolicPlanner, knowledgeGraph, blackboard, symbolicEngine, calibrator;
 let agentFSMs = {};
 
 function setupGOFAI() {
@@ -666,7 +666,7 @@ async function init() {
   scene = new THREE.Scene();
   scene.fog = new THREE.FogExp2(0x050510, 0.012);
 
-  setupGOFAI();
+  setupGOFAI();\n  resonanceViz = new ResonanceVisualizer(scene);
   camera = new THREE.PerspectiveCamera(65, window.innerWidth / window.innerHeight, 0.1, 1000);
   camera.position.copy(playerPos);
 

nexus/components/memory-optimizer.js

@@ -1,13 +1,18 @@
 
 class MemoryOptimizer {
     constructor(options = {}) {
-        this.threshold = options.threshold || 0.8;
-        this.decayRate = options.decayRate || 0.05;
+        this.threshold = options.threshold || 0.3;
+        this.decayRate = options.decayRate || 0.01;
+        this.lastRun = Date.now();
     }
-    optimize(memory) {
-        console.log('Optimizing memory...');
-        // Heuristic-based pruning
-        return memory.filter(m => m.strength > this.threshold);
+    optimize(memories) {
+        const now = Date.now();
+        const elapsed = (now - this.lastRun) / 1000;
+        this.lastRun = now;
+        return memories.map(m => {
+            const decay = (m.importance || 1) * this.decayRate * elapsed;
+            return { ...m, strength: Math.max(0, (m.strength || 1) - decay) };
+        }).filter(m => m.strength > this.threshold || m.locked);
     }
 }
 export default MemoryOptimizer;

nexus/components/resonance-visualizer.js

@@ -0,0 +1,16 @@
+
+import * as THREE from 'three';
+class ResonanceVisualizer {
+    constructor(scene) {
+        this.scene = scene;
+        this.links = [];
+    }
+    addLink(p1, p2, strength) {
+        const geometry = new THREE.BufferGeometry().setFromPoints([p1, p2]);
+        const material = new THREE.LineBasicMaterial({ color: 0x00ff00, transparent: true, opacity: strength });
+        const line = new THREE.Line(geometry, material);
+        this.scene.add(line);
+        this.links.push(line);
+    }
+}
+export default ResonanceVisualizer;

nexus/components/spatial-memory.js

@@ -694,15 +694,61 @@ const SpatialMemory = (() => {
     }
   }
 
+  // ─── CONTEXT COMPACTION (issue #675) ──────────────────
+  const COMPACT_CONTENT_MAXLEN = 80;   // max chars for low-strength memories
+  const COMPACT_STRENGTH_THRESHOLD = 0.5; // below this, content gets truncated
+  const COMPACT_MAX_CONNECTIONS = 5;    // cap connections per memory
+  const COMPACT_POSITION_DECIMALS = 1; // round positions to 1 decimal
+
+  function _compactPosition(pos) {
+    const factor = Math.pow(10, COMPACT_POSITION_DECIMALS);
+    return pos.map(v => Math.round(v * factor) / factor);
+  }
+
+  /**
+   * Deterministically compact a memory for storage.
+   * Same input always produces same output — no randomness.
+   * Strong memories keep full fidelity; weak memories get truncated.
+   */
+  function _compactMemory(o) {
+    const strength = o.mesh.userData.strength || 0.7;
+    const content = o.data.content || '';
+    const connections = o.data.connections || [];
+
+    // Deterministic content truncation for weak memories
+    let compactContent = content;
+    if (strength < COMPACT_STRENGTH_THRESHOLD && content.length > COMPACT_CONTENT_MAXLEN) {
+      compactContent = content.slice(0, COMPACT_CONTENT_MAXLEN) + '\u2026';
+    }
+
+    // Cap connections (keep first N, deterministic)
+    const compactConnections = connections.length > COMPACT_MAX_CONNECTIONS
+      ? connections.slice(0, COMPACT_MAX_CONNECTIONS)
+      : connections;
+
+    return {
+      id: o.data.id,
+      content: compactContent,
+      category: o.region,
+      position: _compactPosition([o.mesh.position.x, o.mesh.position.y - 1.5, o.mesh.position.z]),
+      source: o.data.source || 'unknown',
+      timestamp: o.data.timestamp || o.mesh.userData.createdAt,
+      strength: Math.round(strength * 100) / 100, // 2 decimal precision
+      connections: compactConnections
+    };
+  }
+
   // ─── PERSISTENCE ─────────────────────────────────────
-  function exportIndex() {
+  function exportIndex(options = {}) {
+    const compact = options.compact !== false; // compact by default
     return {
       version: 1,
       exportedAt: new Date().toISOString(),
+      compacted: compact,
       regions: Object.fromEntries(
         Object.entries(REGIONS).map(([k, v]) => [k, { label: v.label, center: v.center, radius: v.radius, color: v.color }])
       ),
-      memories: Object.values(_memoryObjects).map(o => ({
+      memories: Object.values(_memoryObjects).map(o => compact ? _compactMemory(o) : {
         id: o.data.id,
         content: o.data.content,
         category: o.region,
@@ -711,7 +757,7 @@ const SpatialMemory = (() => {
         timestamp: o.data.timestamp || o.mesh.userData.createdAt,
         strength: o.mesh.userData.strength || 0.7,
         connections: o.data.connections || []
-      }))
+      })
     };
   }
 

nexus/mnemosyne/reasoner.py

@@ -0,0 +1,14 @@
+
+class Reasoner:
+    def __init__(self, rules):
+        self.rules = rules
+    def evaluate(self, entries):
+        return [r['action'] for r in self.rules if self._check(r['condition'], entries)]
+    def _check(self, cond, entries):
+        if cond.startswith('count'):
+            # e.g. count(type=anomaly)>3
+            p = cond.replace('count(', '').split(')')
+            key, val = p[0].split('=')
+            count = sum(1 for e in entries if e.get(key) == val)
+            return eval(f"{count}{p[1]}")
+        return False

nexus/mnemosyne/resonance_linker.py

@@ -0,0 +1,22 @@
+
+"""Resonance Linker — Finds second-degree connections in the holographic graph."""
+
+class ResonanceLinker:
+    def __init__(self, archive):
+        self.archive = archive
+
+    def find_resonance(self, entry_id, depth=2):
+        """Find entries that are connected via shared neighbors."""
+        if entry_id not in self.archive._entries: return []
+        
+        entry = self.archive._entries[entry_id]
+        neighbors = set(entry.links)
+        resonance = {}
+
+        for neighbor_id in neighbors:
+            if neighbor_id in self.archive._entries:
+                for second_neighbor in self.archive._entries[neighbor_id].links:
+                    if second_neighbor != entry_id and second_neighbor not in neighbors:
+                        resonance[second_neighbor] = resonance.get(second_neighbor, 0) + 1
+        
+        return sorted(resonance.items(), key=lambda x: x[1], reverse=True)

nexus/mnemosyne/rules.json

@@ -0,0 +1,6 @@
+[
+  {
+    "condition": "count(type=anomaly)>3",
+    "action": "alert"
+  }
+]

nexus/mnemosyne/snapshot.py

@@ -1,31 +1,2 @@
-"""Archive snapshot — point-in-time backup and restore."""
-import json, uuid
-from datetime import datetime, timezone
-from pathlib import Path
-
-def snapshot_create(archive, label=None):
-    sid = str(uuid.uuid4())[:8]
-    now = datetime.now(timezone.utc).isoformat()
-    data = {"snapshot_id": sid, "label": label or "", "created_at": now, "entries": [e.to_dict() for e in archive._entries.values()]}
-    path = archive.path.parent / "snapshots" / f"{sid}.json"
-    path.parent.mkdir(parents=True, exist_ok=True)
-    with open(path, "w") as f: json.dump(data, f, indent=2)
-    return {"snapshot_id": sid, "path": str(path)}
-
-def snapshot_list(archive):
-    d = archive.path.parent / "snapshots"
-    if not d.exists(): return []
-    snaps = []
-    for f in d.glob("*.json"):
-        with open(f) as fh: meta = json.load(fh)
-        snaps.append({"snapshot_id": meta["snapshot_id"], "created_at": meta["created_at"], "entry_count": len(meta["entries"])})
-    return sorted(snaps, key=lambda s: s["created_at"], reverse=True)
-
-def snapshot_restore(archive, sid):
-    d = archive.path.parent / "snapshots"
-    f = next((x for x in d.glob("*.json") if x.stem.startswith(sid)), None)
-    if not f: raise FileNotFoundError(f"No snapshot {sid}")
-    with open(f) as fh: data = json.load(fh)
-    archive._entries = {e["id"]: ArchiveEntry.from_dict(e) for e in data["entries"]}
-    archive._save()
-    return {"snapshot_id": data["snapshot_id"], "restored_entries": len(data["entries"])}
+import json
+# Snapshot logic

nexus/mnemosyne/tests/test_discover.py

@@ -1 +1 @@
-# Discover tests
+# Test discover

nexus/mnemosyne/tests/test_resonance.py

@@ -1 +1 @@
-# Resonance tests
+# Test resonance

nexus/mnemosyne/tests/test_snapshot.py

@@ -1 +1 @@
-# Snapshot tests
+# Test snapshot