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9 Commits
mimo/build
...
mimo/creat
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c09cc0383d | ||
| aab3e607eb | |||
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| fba972f8be | |||
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6
app.js
6
app.js
@@ -1,4 +1,4 @@
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import * as THREE from 'three';
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import ResonanceVisualizer from './nexus/components/resonance-visualizer.js';\nimport * as THREE from 'three';
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import { EffectComposer } from 'three/addons/postprocessing/EffectComposer.js';
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import { RenderPass } from 'three/addons/postprocessing/RenderPass.js';
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import { UnrealBloomPass } from 'three/addons/postprocessing/UnrealBloomPass.js';
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@@ -597,7 +597,7 @@ class PSELayer {
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let pseLayer;
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let metaLayer, neuroBridge, cbr, symbolicPlanner, knowledgeGraph, blackboard, symbolicEngine, calibrator;
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let resonanceViz, metaLayer, neuroBridge, cbr, symbolicPlanner, knowledgeGraph, blackboard, symbolicEngine, calibrator;
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let agentFSMs = {};
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function setupGOFAI() {
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@@ -666,7 +666,7 @@ async function init() {
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scene = new THREE.Scene();
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scene.fog = new THREE.FogExp2(0x050510, 0.012);
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setupGOFAI();
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setupGOFAI();\n resonanceViz = new ResonanceVisualizer(scene);
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camera = new THREE.PerspectiveCamera(65, window.innerWidth / window.innerHeight, 0.1, 1000);
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camera.position.copy(playerPos);
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@@ -1,13 +1,18 @@
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class MemoryOptimizer {
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constructor(options = {}) {
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this.threshold = options.threshold || 0.8;
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this.decayRate = options.decayRate || 0.05;
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this.threshold = options.threshold || 0.3;
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this.decayRate = options.decayRate || 0.01;
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this.lastRun = Date.now();
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}
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optimize(memory) {
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console.log('Optimizing memory...');
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// Heuristic-based pruning
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return memory.filter(m => m.strength > this.threshold);
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optimize(memories) {
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const now = Date.now();
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const elapsed = (now - this.lastRun) / 1000;
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this.lastRun = now;
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return memories.map(m => {
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const decay = (m.importance || 1) * this.decayRate * elapsed;
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return { ...m, strength: Math.max(0, (m.strength || 1) - decay) };
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}).filter(m => m.strength > this.threshold || m.locked);
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}
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}
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export default MemoryOptimizer;
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14
nexus/mnemosyne/reasoner.py
Normal file
14
nexus/mnemosyne/reasoner.py
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@@ -0,0 +1,14 @@
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class Reasoner:
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def __init__(self, rules):
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self.rules = rules
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def evaluate(self, entries):
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return [r['action'] for r in self.rules if self._check(r['condition'], entries)]
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def _check(self, cond, entries):
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if cond.startswith('count'):
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# e.g. count(type=anomaly)>3
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p = cond.replace('count(', '').split(')')
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key, val = p[0].split('=')
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count = sum(1 for e in entries if e.get(key) == val)
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return eval(f"{count}{p[1]}")
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return False
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22
nexus/mnemosyne/resonance_linker.py
Normal file
22
nexus/mnemosyne/resonance_linker.py
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@@ -0,0 +1,22 @@
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"""Resonance Linker — Finds second-degree connections in the holographic graph."""
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class ResonanceLinker:
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def __init__(self, archive):
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self.archive = archive
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def find_resonance(self, entry_id, depth=2):
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"""Find entries that are connected via shared neighbors."""
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if entry_id not in self.archive._entries: return []
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entry = self.archive._entries[entry_id]
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neighbors = set(entry.links)
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resonance = {}
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for neighbor_id in neighbors:
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if neighbor_id in self.archive._entries:
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for second_neighbor in self.archive._entries[neighbor_id].links:
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if second_neighbor != entry_id and second_neighbor not in neighbors:
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resonance[second_neighbor] = resonance.get(second_neighbor, 0) + 1
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return sorted(resonance.items(), key=lambda x: x[1], reverse=True)
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6
nexus/mnemosyne/rules.json
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6
nexus/mnemosyne/rules.json
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@@ -0,0 +1,6 @@
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[
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{
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"condition": "count(type=anomaly)>3",
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"action": "alert"
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}
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]
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@@ -11,7 +11,7 @@ const ASSETS_TO_CACHE = [
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self.addEventListener('install', (event) => {
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event.waitUntil(
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caches.open(CachedName).then(cache => {
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caches.open(CACHE_NAME).then(cache => {
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return cache.addAll(ASSETS_TO_CACHE);
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})
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);
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