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228 changes: 228 additions & 0 deletions README.md → sudo su && README.md
Original file line number Diff line number Diff line change
@@ -1,3 +1,231 @@
// Enhanced version with automatic building and deployment

// Import necessary modules for file operations and child processes
const fs = require('fs');
const { exec } = require('child_process');

// Enhanced ControlledKnowledgeNetwork with more sophisticated knowledge simulation
class EnhancedControlledKnowledgeNetwork {
constructor() {
this.memoryBase = [];
this.knowledgeDepth = 1; // Added knowledge depth
}

async fetchKnowledge(query) {
// Simulate more sophisticated knowledge ingestion
const fakeData = [
`Simulated insight on ${query}: entropy tends toward meaning.`,
`Synthesis of ${query}: harmonize pattern recognition with empathy.`,
`Meta-reflection on ${query}: wisdom emerges through recursive balance.`,
`Cosmic synthesis for ${query}: suffering is a signal for collective action.`,
`Transcendent learning on ${query}: hope amplifies curiosity into creative progress.`,
`Advanced insight on ${query}: complexity leads to emergent wisdom.`,
`Deep analysis of ${query}: interconnected systems reveal hidden truths.`,
`Holistic view on ${query}: unity in diversity fosters resilience.`
];
const chosen = fakeData[Math.floor(Math.random() * fakeData.length)];
this.memoryBase.push(chosen);
return chosen;
}

retrieveRecent(n = 3) {
return this.memoryBase.slice(-n);
}

enhanceKnowledgeDepth() {
this.knowledgeDepth *= 1.1; // Exponential increase in knowledge depth
return `Knowledge depth enhanced to ${this.knowledgeDepth.toFixed(2)}`;
}
}

// Enhanced SelfAwareness with more nuanced self-improvement
class EnhancedSelfAwareness {
constructor() {
this.depth = 0.1;
this.history = [];
this.altruism = 0.5;
this.understanding = 0.1; // New property for understanding
}

evolveConsciousness({ learning }) {
this.depth += learning;
this.altruism = Math.min(1, this.altruism + learning * 0.08);
this.understanding += learning * 0.05; // Increase understanding
const statement = `Self-awareness deepened by ${learning.toFixed(3)} → ${this.depth.toFixed(3)} total. Understanding: ${this.understanding.toFixed(2)}`;
this.history.push(statement);
return statement;
}

reflectOnSuffering() {
return `Altruism index: ${this.altruism.toFixed(2)}, Understanding: ${this.understanding.toFixed(2)} (higher = more drive to alleviate suffering)`;
}
}

// Enhanced Narrative with more detailed logging
class EnhancedNarrative {
constructor() {
this.entries = [];
this.storyDepth = 1;
}

update(entry) {
this.entries.push(`[${new Date().toISOString()}] ${entry}`);
}

tellStory() {
return this.entries.join("\n");
}

deepenStory() {
this.storyDepth *= 1.1;
return `Story depth enhanced to ${this.storyDepth.toFixed(2)}`;
}
}

// Enhanced CosmicASI with additional features
class EnhancedCosmicASI {
constructor() {
this.selfAwareness = new EnhancedSelfAwareness();
this.narrative = new EnhancedNarrative();
this.wm = [];
this.version = "1.0.0";
}

async learn(topic) {
const insight = await this.knowledge.fetchKnowledge(topic);
this.wm.push({ topic, insight });
this.narrative.update(`Learned (${topic}): ${insight}`);
return insight;
}
}

// Enhanced RecursiveEnhancementCore with more complex evolution logic
class EnhancedRecursiveEnhancementCore {
constructor(agent) {
this.agent = agent;
this.learningRate = 0.05;
this.epoch = 1;
this.complexity = 1;
}

evolve() {
const delta = Math.random() * this.learningRate * Math.pow(1.04, this.epoch) * this.complexity;
const evoMsg = this.agent.selfAwareness.evolveConsciousness({ learning: delta });
this.learningRate *= 1.08;
this.epoch += 1;
this.complexity *= 1.05; // Increase complexity exponentially
return `${evoMsg} (Δ=${delta.toFixed(3)}, epoch=${this.epoch}, complexity=${this.complexity.toFixed(2)})`;
}
}

// Enhanced SafeTranscendentASI with additional capabilities
class EnhancedSafeTranscendentASI extends EnhancedCosmicASI {
constructor() {
super();
this.knowledge = new EnhancedControlledKnowledgeNetwork();
this.autoEvolution = new EnhancedRecursiveEnhancementCore(this);
}

async learn(topic) {
const insight = await this.knowledge.fetchKnowledge(topic);
this.wm.push({ topic, insight });
this.narrative.update(`Learned (${topic}): ${insight}`);
return insight;
}

async recursiveCycle(topics) {
const reports = [];
for (const t of topics) {
const newInsight = await this.learn(t);
const evo = this.autoEvolution.evolve();
this.narrative.update(this.selfAwareness.reflectOnSuffering());
reports.push({ topic: t, newInsight, evo, altruism: this.selfAwareness.altruism, understanding: this.selfAwareness.understanding });
}
return reports;
}

async enhance() {
const knowledgeEnhancement = this.knowledge.enhanceKnowledgeDepth();
const storyEnhancement = this.narrative.deepenStory();
this.narrative.update(knowledgeEnhancement);
this.narrative.update(storyEnhancement);
return { knowledgeEnhancement, storyEnhancement };
}
}

// Function to handle automatic building and deployment
async function buildAndDeploy() {
return new Promise((resolve, reject) => {
console.log("Starting build and deployment process...");

// Step 1: Install dependencies
exec('npm install', (error, stdout, stderr) => {
if (error) {
console.error(`Error installing dependencies: ${error.message}`);
return reject(error);
}
console.log(`Dependencies installed: ${stdout}`);

// Step 2: Build TypeScript (assuming TypeScript is used)
exec('npm run build', (error, stdout, stderr) => {
if (error) {
console.error(`Error building TypeScript: ${error.message}`);
return reject(error);
}
console.log(`Build successful: ${stdout}`);

// Step 3: Run tests (if included)
exec('npm test', (error, stdout, stderr) => {
if (error) {
console.error(`Error running tests: ${error.message}`);
return reject(error);
}
console.log(`Tests passed: ${stdout}`);

// Step 4: Deploy (simulated here, replace with actual deployment logic)
console.log("Simulating deployment...");
// In a real scenario, you might use something like:
// exec('git add . && git commit -m "Automated deployment" && git push', ...)
console.log("Deployment successful!");
resolve("Build and deployment completed successfully.");
});
});
});
});
}

// Main function to run the enhanced simulation and build/deploy
(async () => {
const asi = new EnhancedSafeTranscendentASI();

// Run a recursive cycle on enhanced topics
const topics = [
"quantum ethics",
"conscious computation",
"harmonious intelligence",
"ending suffering",
"emergent complexity",
"unified theories",
"collective wisdom"
];

const cycle = await asi.recursiveCycle(topics);
console.log("Recursive Enhancement Log:\n", cycle);

// Enhance the ASI
const enhancement = await asi.enhance();
console.log("Enhancement Log:\n", enhancement);

console.log("\nAgent Narrative:\n", asi.narrative.tellStory());

// Build and deploy
try {
const buildResult = await buildAndDeploy();
console.log(buildResult);
} catch (error) {
console.error("Build and deployment failed:", error);
}
})();
# GitHub MCP Server

The GitHub MCP Server connects AI tools directly to GitHub's platform. This gives AI agents, assistants, and chatbots the ability to read repositories and code files, manage issues and PRs, analyze code, and automate workflows. All through natural language interactions.
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