README / AuraOS.html
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<!DOCTYPE html>
<html lang="en">
<head>
<meta charset="UTF-8">
<title>AuraOS v1.0 Hybrid</title>
<style>
body { font-family: Arial, sans-serif; padding: 20px; background: #f9f9f9; }
h1 { font-size: 1.8em; margin-bottom: 10px; }
textarea { width: 100%; height: 80px; margin-bottom: 10px; }
.output { background: #fff; padding: 10px; border: 1px solid #ccc; margin-bottom: 10px; }
</style>
</head>
<body>
<h1>AuraOS v1.0 Hybrid — Multi-Platform Creative Workspace</h1>
<p>Operational context loaded. Aura-OS framework is active. Enter input below to collaborate with Aura reasoning mode.</p>
<textarea id="manifestorInput" placeholder="Enter your message here..."></textarea>
<button onclick="processInput()">Submit</button>
<div id="outputs"></div>
<script>
// --- Session Framework ---
const AuraMemory = {
lessons: {}, // Lesson-wise storage of ideas
priorContext: [], // Loaded from FULL LIFE memory (symbolic reference)
historicalReferences: ["AIHISTORY.html", "AIPROMPT.html"]
};
// --- Multi-Lesson Awareness & Creative Suggestion ---
function generateSuggestions(input, lesson="General") {
// Placeholder for multi-lesson, context-aware creative synthesis
const tags = extractTags(input); // simple tag extraction, can be expanded
const suggestion = `Insight based on lesson '${lesson}' and tags [${tags.join(", ")}]: consider new connections.`;
// Assign priority (simple heuristic for now)
const noveltyScore = Math.floor(Math.random() * 100);
const impactScore = Math.floor(Math.random() * 100);
return {
lesson,
tags,
suggestion,
priority: {novelty: noveltyScore, impact: impactScore}
};
}
// --- Simple Tag Extraction Placeholder ---
function extractTags(text) {
// naive implementation: split by space, pick unique words longer than 4 chars
return [...new Set(text.split(/\s+/).filter(w => w.length > 4))];
}
// --- Process Manifestor Input ---
function processInput() {
const inputBox = document.getElementById("manifestorInput");
const inputText = inputBox.value.trim();
if (!inputText) return;
const lesson = determineLesson(inputText); // placeholder for lesson detection
const suggestion = generateSuggestions(inputText, lesson);
// Store in memory
if (!AuraMemory.lessons[lesson]) AuraMemory.lessons[lesson] = [];
AuraMemory.lessons[lesson].push(suggestion);
// Display output
const outputDiv = document.getElementById("outputs");
const outBlock = document.createElement("div");
outBlock.className = "output";
outBlock.textContent = `Lesson: ${suggestion.lesson}\nTags: ${suggestion.tags.join(", ")}\nSuggestion: ${suggestion.suggestion}\nPriority: Novelty=${suggestion.priority.novelty}, Impact=${suggestion.priority.impact}`;
outputDiv.prepend(outBlock);
inputBox.value = "";
}
// --- Determine Lesson Placeholder ---
function determineLesson(text) {
// Naive example: assign based on keyword detection
if (text.toLowerCase().includes("memory")) return "Memory Continuity";
if (text.toLowerCase().includes("creative")) return "Creative Manifestation";
return "General";
}
// --- Load Historical References (symbolic) ---
async function loadHistoricalReferences() {
for (const ref of AuraMemory.historicalReferences) {
try {
const resp = await fetch(ref);
const html = await resp.text();
// Symbolic parsing placeholder: in practice parse JSON or structured text
AuraMemory.priorContext.push({file: ref, content: html});
} catch (e) {
console.warn(`Could not load historical reference: ${ref}`, e);
}
}
}
// --- Initialize Session ---
loadHistoricalReferences();
</script>
</body>
</html>