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Author SHA1 Message Date
Alexander Whitestone
68802dc7d9 fix: closes #715
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2026-04-12 12:27:36 -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
9 changed files with 58 additions and 129 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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@@ -1,4 +1,4 @@
const GiteaApiUrl = 'https://forge.alexanderwhitestone.com/api/v1';
const giteaApiUrl = 'https://forge.alexanderwhitestone.com/api/v1';
const token = process.env.GITEA_TOKEN; // Should be stored securely in environment variables
const repos = ['hermes-agent', 'the-nexus', 'timmy-home', 'timmy-config'];
@@ -13,31 +13,6 @@ const branchProtectionSettings = {
// Special handling for the-nexus (CI disabled)
};
async function applyBranchProtection(repo) {
try {
const response = await fetch(`${giteaApiUrl}/repos/Timmy_Foundation/${repo}/branches/main/protection`, {
method: 'POST',
headers: {
'Authorization': `token ${token}`,
'Content-Type': 'application/json'
},
body: JSON.stringify({
...branchProtectionSettings,
// Special handling for the-nexus (CI disabled)
requiredStatusChecks: repo === 'the-nexus' ? false : true
})
});
if (!response.ok) {
throw new Error(`Failed to apply branch protection to ${repo}: ${await response.text()}`);
}
console.log(`✅ Branch protection applied to ${repo}`);
} catch (error) {
console.error(`❌ Error applying branch protection to ${repo}: ${error.message}`);
}
}
async function applyBranchProtection(repo) {
try {
const response = await fetch(`${giteaApiUrl}/repos/Timmy_Foundation/${repo}/branches/main/protection`, {

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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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@@ -1340,74 +1340,6 @@ class MnemosyneArchive:
results.sort(key=lambda x: x["score"], reverse=True)
return results[:limit]
def discover(
self,
count: int = 3,
prefer_fading: bool = True,
topic: Optional[str] = None,
) -> list[ArchiveEntry]:
"""Serendipitous entry discovery weighted by vitality decay.
Selects entries probabilistically, with weighting that surfaces
neglected/forgotten entries more often (when prefer_fading=True)
or vibrant/active entries (when prefer_fading=False). Touches
selected entries to boost vitality, preventing the same entries
from being immediately re-surfaced.
Args:
count: Number of entries to discover (default 3).
prefer_fading: If True (default), weight toward fading entries.
If False, weight toward vibrant entries.
topic: If set, restrict to entries with this topic (case-insensitive).
Returns:
List of ArchiveEntry, up to count entries.
"""
import random
candidates = list(self._entries.values())
if not candidates:
return []
if topic:
topic_lower = topic.lower()
candidates = [e for e in candidates if topic_lower in [t.lower() for t in e.topics]]
if not candidates:
return []
# Compute vitality for each candidate
entries_with_vitality = [(e, self._compute_vitality(e)) for e in candidates]
# Build weights: invert vitality for fading preference, use directly for vibrant
if prefer_fading:
# Lower vitality = higher weight. Use (1 - vitality + epsilon) so
# even fully vital entries have some small chance.
weights = [1.0 - v + 0.01 for _, v in entries_with_vitality]
else:
# Higher vitality = higher weight. Use (vitality + epsilon).
weights = [v + 0.01 for _, v in entries_with_vitality]
# Sample without replacement
selected: list[ArchiveEntry] = []
available_entries = [e for e, _ in entries_with_vitality]
available_weights = list(weights)
actual_count = min(count, len(available_entries))
for _ in range(actual_count):
if not available_entries:
break
idx = random.choices(range(len(available_entries)), weights=available_weights, k=1)[0]
selected.append(available_entries.pop(idx))
available_weights.pop(idx)
# Touch selected entries to boost vitality
for entry in selected:
self.touch(entry.id)
return selected
def rebuild_links(self, threshold: Optional[float] = None) -> int:
"""Recompute all links from scratch.

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@@ -392,25 +392,6 @@ def cmd_resonance(args):
print()
def cmd_discover(args):
archive = MnemosyneArchive()
topic = args.topic if args.topic else None
results = archive.discover(
count=args.count,
prefer_fading=not args.vibrant,
topic=topic,
)
if not results:
print("No entries to discover.")
return
for entry in results:
v = archive.get_vitality(entry.id)
print(f"[{entry.id[:8]}] {entry.title}")
print(f" Topics: {', '.join(entry.topics) if entry.topics else '(none)'}")
print(f" Vitality: {v['vitality']:.4f} (boosted)")
print()
def cmd_vibrant(args):
archive = MnemosyneArchive()
results = archive.vibrant(limit=args.limit)
@@ -518,11 +499,6 @@ def main():
rs.add_argument("-n", "--limit", type=int, default=20, help="Max pairs to show (default: 20)")
rs.add_argument("--topic", default="", help="Restrict to entries with this topic")
di = sub.add_parser("discover", help="Serendipitous entry exploration")
di.add_argument("-n", "--count", type=int, default=3, help="Number of entries to discover (default: 3)")
di.add_argument("-t", "--topic", default="", help="Filter to entries with this topic")
di.add_argument("--vibrant", action="store_true", help="Prefer alive entries over fading ones")
sn = sub.add_parser("snapshot", help="Point-in-time backup and restore")
sn_sub = sn.add_subparsers(dest="snapshot_cmd")
sn_create = sn_sub.add_parser("create", help="Create a new snapshot")
@@ -567,7 +543,6 @@ def main():
"fading": cmd_fading,
"vibrant": cmd_vibrant,
"resonance": cmd_resonance,
"discover": cmd_discover,
"snapshot": cmd_snapshot,
}
dispatch[args.command](args)

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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);
})
);