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mimo/build
...
mimo/code/
| Author | SHA1 | Date | |
|---|---|---|---|
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4706861619 | ||
| 6786e65f3d | |||
| 62a6581827 | |||
| 797f32a7fe | |||
| 80eb4ff7ea |
32
app.js
32
app.js
@@ -704,13 +704,13 @@ async function init() {
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createParticles();
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createDustParticles();
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updateLoad(85);
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if (performanceTier !== "low") createAmbientStructures();
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createAmbientStructures();
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createAgentPresences();
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if (performanceTier !== "low") createThoughtStream();
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createThoughtStream();
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createHarnessPulse();
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createSessionPowerMeter();
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createWorkshopTerminal();
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if (performanceTier !== "low") createAshStorm();
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createAshStorm();
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SpatialMemory.init(scene);
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MemoryBirth.init(scene);
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MemoryBirth.wrapSpatialMemory(SpatialMemory);
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@@ -730,20 +730,14 @@ async function init() {
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fetchGiteaData();
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setInterval(fetchGiteaData, 30000); // Refresh every 30s
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// Quality-tier feature gating: only enable heavy post-processing on medium/high
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if (performanceTier !== 'low') {
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composer = new EffectComposer(renderer);
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composer.addPass(new RenderPass(scene, camera));
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const bloomStrength = performanceTier === 'high' ? 0.6 : 0.35;
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const bloom = new UnrealBloomPass(
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new THREE.Vector2(window.innerWidth, window.innerHeight),
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bloomStrength, 0.4, 0.85
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);
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composer.addPass(bloom);
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composer.addPass(new SMAAPass(window.innerWidth, window.innerHeight));
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} else {
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composer = null;
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}
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composer = new EffectComposer(renderer);
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composer.addPass(new RenderPass(scene, camera));
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const bloom = new UnrealBloomPass(
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new THREE.Vector2(window.innerWidth, window.innerHeight),
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0.6, 0.4, 0.85
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);
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composer.addPass(bloom);
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composer.addPass(new SMAAPass(window.innerWidth, window.innerHeight));
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updateLoad(95);
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@@ -3133,7 +3127,7 @@ function gameLoop() {
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core.material.emissiveIntensity = 1.5 + Math.sin(elapsed * 2) * 0.5;
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}
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if (composer) { composer.render(); } else { renderer.render(scene, camera); }
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composer.render();
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updateAshStorm(delta, elapsed);
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@@ -3172,7 +3166,7 @@ function onResize() {
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camera.aspect = w / h;
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camera.updateProjectionMatrix();
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renderer.setSize(w, h);
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if (composer) composer.setSize(w, h);
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composer.setSize(w, h);
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}
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// ═══ AGENT SIMULATION ═══
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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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@@ -815,6 +815,42 @@ const SpatialMemory = (() => {
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return results.slice(0, maxResults);
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}
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// ─── CONTENT SEARCH ─────────────────────────────────
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/**
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* Search memories by text content — case-insensitive substring match.
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* @param {string} query - Search text
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* @param {object} [options] - Optional filters
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* @param {string} [options.category] - Restrict to a specific region
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* @param {number} [options.maxResults=20] - Cap results
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* @returns {Array<{memory: object, score: number, position: THREE.Vector3}>}
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*/
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function searchByContent(query, options = {}) {
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if (!query || !query.trim()) return [];
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const { category, maxResults = 20 } = options;
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const needle = query.trim().toLowerCase();
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const results = [];
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Object.values(_memoryObjects).forEach(obj => {
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if (category && obj.region !== category) return;
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const content = (obj.data.content || '').toLowerCase();
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if (!content.includes(needle)) return;
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// Score: number of occurrences + strength bonus
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let matches = 0, idx = 0;
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while ((idx = content.indexOf(needle, idx)) !== -1) { matches++; idx += needle.length; }
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const score = matches + (obj.mesh.userData.strength || 0.7);
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results.push({
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memory: obj.data,
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score,
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position: obj.mesh.position.clone()
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});
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});
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results.sort((a, b) => b.score - a.score);
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return results.slice(0, maxResults);
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}
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// ─── CRYSTAL MESH COLLECTION (for raycasting) ────────
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function getCrystalMeshes() {
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@@ -864,7 +900,7 @@ const SpatialMemory = (() => {
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init, placeMemory, removeMemory, update, importMemories, updateMemory,
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getMemoryAtPosition, getRegionAtPosition, getMemoriesInRegion, getAllMemories,
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getCrystalMeshes, getMemoryFromMesh, highlightMemory, clearHighlight, getSelectedId,
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exportIndex, importIndex, searchNearby, REGIONS,
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exportIndex, importIndex, searchNearby, searchByContent, REGIONS,
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saveToStorage, loadFromStorage, clearStorage,
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runGravityLayout, setCamera
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};
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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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6
nexus/mnemosyne/rules.json
Normal file
6
nexus/mnemosyne/rules.json
Normal file
@@ -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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