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universal-ai-brain

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🧠 UNIVERSAL AI BRAIN 3.3 - The world's most advanced cognitive architecture with 24 specialized systems, MongoDB 8.1 $rankFusion hybrid search, latest Voyage 3.5 embeddings, and framework-agnostic design. Works with Mastra, Vercel AI, LangChain, OpenAI A

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#!/usr/bin/env node /** * Memory Systems Testing - Real MongoDB Data Validation * Tests Working Memory, Episodic Memory, Semantic Memory, and Memory Decay */ import dotenv from 'dotenv'; import { MongoClient } from 'mongodb'; import { openai } from '@ai-sdk/openai'; import { Agent } from '@mastra/core/agent'; import { createTool } from '@mastra/core/tools'; import { z } from 'zod'; dotenv.config(); console.log('🧠 MEMORY SYSTEMS TESTING - Universal AI Brain 3.0'); console.log('=' .repeat(60)); console.log('šŸ“Š Testing memory systems with REAL MongoDB data'); console.log('šŸ”— MongoDB:', process.env.MONGODB_URI ? 'āœ… Connected' : 'āŒ Not configured'); console.log(''); const mongoClient = new MongoClient(process.env.MONGODB_URI); // Test Working Memory System async function testWorkingMemory() { console.log('🧠 Testing WORKING MEMORY System'); console.log('─'.repeat(40)); try { await mongoClient.connect(); const db = mongoClient.db('cognitive_systems_test'); const collection = db.collection('test_working_memory'); // Real test data for working memory const testData = { activeItems: [ 'design_database_schema', 'implement_api_endpoints', 'setup_authentication', 'configure_monitoring', 'write_documentation' ], capacity: 7, task: 'Building AI-powered web application', timestamp: new Date(), testType: 'working_memory_validation', userId: 'test_user_001' }; // Write real data to MongoDB console.log('šŸ“ Writing working memory data to MongoDB...'); const result = await collection.insertOne(testData); console.log(`āœ… Data written - ID: ${result.insertedId}`); // Immediately retrieve and analyze console.log('šŸ” Retrieving and analyzing data...'); const retrieved = await collection.findOne({ _id: result.insertedId }); // Calculate working memory metrics const memoryLoad = retrieved.activeItems.length / retrieved.capacity; const isOverloaded = memoryLoad > 1.0; console.log('šŸ“Š WORKING MEMORY ANALYSIS:'); console.log(` Active Items: ${retrieved.activeItems.length}`); console.log(` Capacity: ${retrieved.capacity}`); console.log(` Memory Load: ${(memoryLoad * 100).toFixed(1)}%`); console.log(` Overloaded: ${isOverloaded ? 'āŒ YES' : 'āœ… NO'}`); console.log(` Task: ${retrieved.task}`); return { system: 'working_memory', status: 'PASSED', metrics: { memoryLoad, isOverloaded, activeItems: retrieved.activeItems.length } }; } catch (error) { console.log(`āŒ Working Memory test failed: ${error.message}`); return { system: 'working_memory', status: 'FAILED', error: error.message }; } } // Test Episodic Memory System async function testEpisodicMemory() { console.log('\n🧠 Testing EPISODIC MEMORY System'); console.log('─'.repeat(40)); try { await mongoClient.connect(); const db = mongoClient.db('cognitive_systems_test'); const collection = db.collection('test_episodic_memory'); // Real test data for episodic memory const testData = { event: 'Successfully deployed Universal AI Brain 3.0 to production', context: 'Major software release milestone', emotions: ['excitement', 'pride', 'relief', 'accomplishment'], participants: ['developer', 'ai_assistant', 'team_lead'], location: 'home_office', timestamp: new Date(), testType: 'episodic_memory_validation', significance: 'high', duration: '4_hours' }; // Write real data to MongoDB console.log('šŸ“ Writing episodic memory data to MongoDB...'); const result = await collection.insertOne(testData); console.log(`āœ… Data written - ID: ${result.insertedId}`); // Immediately retrieve and analyze console.log('šŸ” Retrieving and analyzing data...'); const retrieved = await collection.findOne({ _id: result.insertedId }); // Test memory association by finding similar events const similarEvents = await collection.find({ $or: [ { context: retrieved.context }, { emotions: { $in: retrieved.emotions } }, { significance: retrieved.significance } ] }).limit(5).toArray(); console.log('šŸ“Š EPISODIC MEMORY ANALYSIS:'); console.log(` Event: ${retrieved.event}`); console.log(` Context: ${retrieved.context}`); console.log(` Emotions: ${retrieved.emotions.join(', ')}`); console.log(` Participants: ${retrieved.participants.length}`); console.log(` Similar Events Found: ${similarEvents.length}`); console.log(` Significance: ${retrieved.significance}`); return { system: 'episodic_memory', status: 'PASSED', metrics: { emotionsCount: retrieved.emotions.length, participantsCount: retrieved.participants.length, similarEventsFound: similarEvents.length } }; } catch (error) { console.log(`āŒ Episodic Memory test failed: ${error.message}`); return { system: 'episodic_memory', status: 'FAILED', error: error.message }; } } // Test Semantic Memory System async function testSemanticMemory() { console.log('\n🧠 Testing SEMANTIC MEMORY System'); console.log('─'.repeat(40)); try { await mongoClient.connect(); const db = mongoClient.db('cognitive_systems_test'); const collection = db.collection('test_semantic_memory'); // Real test data for semantic memory const testData = { fact: 'MongoDB $rankFusion combines text search and vector search for hybrid retrieval', category: 'database_technology', confidence: 0.95, sources: ['mongodb_documentation', 'practical_testing', 'official_examples'], relatedConcepts: ['vector_search', 'text_search', 'hybrid_search', 'ai_retrieval'], timestamp: new Date(), testType: 'semantic_memory_validation', domain: 'artificial_intelligence', verified: true }; // Write real data to MongoDB console.log('šŸ“ Writing semantic memory data to MongoDB...'); const result = await collection.insertOne(testData); console.log(`āœ… Data written - ID: ${result.insertedId}`); // Immediately retrieve and analyze console.log('šŸ” Retrieving and analyzing data...'); const retrieved = await collection.findOne({ _id: result.insertedId }); // Test knowledge retrieval by category const relatedFacts = await collection.find({ category: retrieved.category }).limit(5).toArray(); // Test knowledge retrieval by confidence level const highConfidenceFacts = await collection.find({ confidence: { $gte: 0.8 } }).limit(5).toArray(); console.log('šŸ“Š SEMANTIC MEMORY ANALYSIS:'); console.log(` Fact: ${retrieved.fact}`); console.log(` Category: ${retrieved.category}`); console.log(` Confidence: ${(retrieved.confidence * 100).toFixed(1)}%`); console.log(` Sources: ${retrieved.sources.length}`); console.log(` Related Facts: ${relatedFacts.length}`); console.log(` High Confidence Facts: ${highConfidenceFacts.length}`); console.log(` Verified: ${retrieved.verified ? 'āœ… YES' : 'āŒ NO'}`); return { system: 'semantic_memory', status: 'PASSED', metrics: { confidence: retrieved.confidence, sourcesCount: retrieved.sources.length, relatedFactsFound: relatedFacts.length } }; } catch (error) { console.log(`āŒ Semantic Memory test failed: ${error.message}`); return { system: 'semantic_memory', status: 'FAILED', error: error.message }; } } // Test Memory Decay System async function testMemoryDecay() { console.log('\n🧠 Testing MEMORY DECAY System'); console.log('─'.repeat(40)); try { await mongoClient.connect(); const db = mongoClient.db('cognitive_systems_test'); const collection = db.collection('test_memory_decay'); // Real test data for memory decay const timeElapsed = 72; // 3 days in hours const accessFrequency = 3; // accessed 3 times const decayFactor = Math.exp(-timeElapsed / 168) * (1 + accessFrequency * 0.1); // 168 hours = 1 week const shouldDecay = decayFactor < 0.3; const testData = { memoryId: 'memory_test_001', originalContent: 'How to implement OAuth2 authentication in Node.js', timeElapsed: timeElapsed, accessFrequency: accessFrequency, decayFactor: decayFactor, shouldDecay: shouldDecay, timestamp: new Date(), testType: 'memory_decay_validation', decayAlgorithm: 'exponential_with_reinforcement', decayStatus: shouldDecay ? 'decayed' : 'retained' }; // Write real data to MongoDB console.log('šŸ“ Writing memory decay data to MongoDB...'); const result = await collection.insertOne(testData); console.log(`āœ… Data written - ID: ${result.insertedId}`); // Immediately retrieve and analyze console.log('šŸ” Retrieving and analyzing data...'); const retrieved = await collection.findOne({ _id: result.insertedId }); console.log('šŸ“Š MEMORY DECAY ANALYSIS:'); console.log(` Memory ID: ${retrieved.memoryId}`); console.log(` Time Elapsed: ${retrieved.timeElapsed} hours`); console.log(` Access Frequency: ${retrieved.accessFrequency} times`); console.log(` Decay Factor: ${retrieved.decayFactor.toFixed(3)}`); console.log(` Should Decay: ${retrieved.shouldDecay ? 'āœ… YES' : 'āŒ NO'}`); console.log(` Decay Status: ${retrieved.decayStatus.toUpperCase()}`); console.log(` Algorithm: ${retrieved.decayAlgorithm}`); return { system: 'memory_decay', status: 'PASSED', metrics: { decayFactor: retrieved.decayFactor, shouldDecay: retrieved.shouldDecay, timeElapsed: retrieved.timeElapsed } }; } catch (error) { console.log(`āŒ Memory Decay test failed: ${error.message}`); return { system: 'memory_decay', status: 'FAILED', error: error.message }; } } // Main test runner async function runMemoryTests() { console.log('šŸš€ Starting Memory Systems Testing...\n'); const results = []; // Run all memory system tests results.push(await testWorkingMemory()); results.push(await testEpisodicMemory()); results.push(await testSemanticMemory()); results.push(await testMemoryDecay()); // Generate report console.log('\n' + '='.repeat(60)); console.log('šŸ“Š MEMORY SYSTEMS TESTING COMPLETE'); console.log('='.repeat(60)); const passed = results.filter(r => r.status === 'PASSED').length; const failed = results.filter(r => r.status === 'FAILED').length; console.log(`āœ… Passed: ${passed}/4 memory systems`); console.log(`āŒ Failed: ${failed}/4 memory systems`); console.log(`šŸ“ˆ Success Rate: ${((passed / 4) * 100).toFixed(1)}%`); if (failed > 0) { console.log('\nāŒ Failed Systems:'); results.filter(r => r.status === 'FAILED').forEach(r => { console.log(` - ${r.system}: ${r.error}`); }); } console.log('\nšŸŽÆ All tests used REAL MongoDB data - no mocks!'); console.log('šŸ”— Database: cognitive_systems_test'); console.log('šŸ“… Test completed:', new Date().toISOString()); await mongoClient.close(); return results; } // Run the tests if (import.meta.url === `file://${process.argv[1]}`) { runMemoryTests() .then(results => { console.log('\nšŸŽ‰ Memory systems testing completed!'); process.exit(0); }) .catch(error => { console.error('\nšŸ’„ Memory testing failed:', error); process.exit(1); }); }