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Author SHA1 Message Date
Alexander Whitestone
c09cc0383d fix: closes #698
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2026-04-12 12:43:28 -04:00
aab3e607eb Merge pull request '[GOFAI] Resonance Viz Integration' (#1297) from feat/resonance-viz-integration-1776010801023 into main
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2026-04-12 16:20:09 +00:00
fe56ece1ad Integrate ResonanceVisualizer into app.js
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2026-04-12 16:20:03 +00:00
bf477382ba Merge pull request '[GOFAI] Resonance Linking' (#1293) from feat/resonance-linker-1776010647557 into main
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2026-04-12 16:17:33 +00:00
fba972f8be Add ResonanceLinker
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2026-04-12 16:17:28 +00:00
6786e65f3d Merge pull request '[GOFAI] Layer 4 — Reasoning & Decay' (#1292) from feat/gofai-layer-4-v2 into main
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2026-04-12 16:15:29 +00:00
62a6581827 Add rules
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2026-04-12 16:15:24 +00:00
797f32a7fe Add Reasoner 2026-04-12 16:15:23 +00:00
80eb4ff7ea Enhance MemoryOptimizer 2026-04-12 16:15:22 +00:00
7 changed files with 77 additions and 31 deletions

6
app.js
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@@ -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);

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@@ -586,8 +586,8 @@ def alert_on_failure(report: HealthReport, dry_run: bool = False) -> None:
logger.info("Created alert issue #%d", result["number"])
def run_once(args: argparse.Namespace) -> tuple[bool, HealthReport]:
"""Run one health check cycle. Returns (healthy, report)."""
def run_once(args: argparse.Namespace) -> bool:
"""Run one health check cycle. Returns True if healthy."""
report = run_health_checks(
ws_host=args.ws_host,
ws_port=args.ws_port,
@@ -615,20 +615,7 @@ def run_once(args: argparse.Namespace) -> tuple[bool, HealthReport]:
except Exception:
pass # never crash the watchdog over its own heartbeat
return report.overall_healthy, report
def _emit_json(report: HealthReport) -> None:
"""Print a HealthReport as JSON to stdout."""
print(json.dumps({
"healthy": report.overall_healthy,
"timestamp": report.timestamp,
"checks": [
{"name": c.name, "healthy": c.healthy,
"message": c.message, "details": c.details}
for c in report.checks
],
}, indent=2))
return report.overall_healthy
def main():
@@ -691,18 +678,30 @@ def main():
signal.signal(signal.SIGINT, _handle_sigterm)
while _running:
_healthy, report = run_once(args)
if args.output_json:
_emit_json(report)
run_once(args)
for _ in range(args.interval):
if not _running:
break
time.sleep(1)
else:
healthy, report = run_once(args)
healthy = run_once(args)
if args.output_json:
_emit_json(report)
report = run_health_checks(
ws_host=args.ws_host,
ws_port=args.ws_port,
heartbeat_path=Path(args.heartbeat_path),
stale_threshold=args.stale_threshold,
)
print(json.dumps({
"healthy": report.overall_healthy,
"timestamp": report.timestamp,
"checks": [
{"name": c.name, "healthy": c.healthy,
"message": c.message, "details": c.details}
for c in report.checks
],
}, indent=2))
sys.exit(0 if healthy else 1)

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@@ -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;

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@@ -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

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@@ -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)

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

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@@ -11,7 +11,7 @@ const ASSETS_TO_CACHE = [
self.addEventListener('install', (event) => {
event.waitUntil(
caches.open(CachedName).then(cache => {
caches.open(CACHE_NAME).then(cache => {
return cache.addAll(ASSETS_TO_CACHE);
})
);