🧠 Architect a Personalized Multi-Agent System with Long-Term Memory for Real Estate Tokenization

MyZubster is building a multi-agent system with long-term memory for real estate tokenization, inspired by Google's approach. The system uses a three-tier memory architecture—short-term, long-term (vector database), and episodic memory—to enable AI agents to remember and learn from past interactions.

Inspired by Google's approach to multi-agent systems with long-term memory Imagine a system where AI agents work together to manage your real estate tokenization platform, each with their own specialized role and the ability to remember and learn from past interactions. This is exactly what we're building at MyZubster: a multi-agent system with long-term memory that handles everything from investor onboarding to asset tokenization. ┌─────────────────────────────────────────────────────────────────────────────┐ │ MULTI-AGENT SYSTEM │ ├─────────────────────────────────────────────────────────────────────────────┤ │ │ │ ┌─────────────────────────────────────────────────────────────────────┐ │ │ │ ORCHESTRATOR AGENT │ │ │ │ • Coordinates all other agents │ │ │ │ • Maintains conversation history │ │ │ │ • Manages agent lifecycle │ │ │ └─────────────────────────────┬───────────────────────────────────────┘ │ │ │ │ │ ┌───────────────────────┼───────────────────────┐ │ │ ▼ ▼ ▼ │ │ ┌─────────────┐ ┌─────────────────────┐ ┌─────────────────────┐ │ │ │ INVESTOR │ │ LEGAL │ │ TECHNICAL │ │ │ │ AGENT │ │ AGENT │ │ AGENT │ │ │ │ │ │ │ │ │ │ │ │ • Onboarding│ │ • Compliance checks │ │ • Token deployment │ │ │ │ • KYC/AML │ │ • Document review │ │ • Smart contracts │ │ │ │ • Portfolio │ │ • Regulatory advice │ │ • Blockchain ops │ │ │ └─────────────┘ └─────────────────────┘ └─────────────────────┘ │ │ │ │ ┌─────────────────────────────────────────────────────────────────────┐ │ │ │ MEMORY LAYER │ │ │ │ • Vector database for long-term memory Pinecone/Chroma │ │ │ │ • Conversation history Redis/SQLite │ │ │ │ • User preferences and context │ │ │ └─────────────────────────────────────────────────────────────────────┘ │ │ │ └─────────────────────────────────────────────────────────────────────────────┘ text Inspired by Google's approach, we implement a three-tier memory system: javascript // agents/memory/short-term.js class ShortTermMemory { constructor { this.context = ; this.maxLength = 50; } add entry { this.context.push entry ; if this.context.length this.maxLength { this.context.shift ; } } get { return this.context.slice -10 ; // Last 10 interactions } clear { this.context = ; } } 2. Long-Term Memory Vector Database javascript // agents/memory/long-term.js const { Pinecone } = require '@pinecone-database/pinecone' ; const { OpenAIEmbeddings } = require 'langchain/embeddings/openai' ; class LongTermMemory { constructor { this.embeddings = new OpenAIEmbeddings ; this.pinecone = new Pinecone { apiKey: process.env.PINECONE API KEY, environment: process.env.PINECONE ENVIRONMENT } ; this.index = this.pinecone.Index 'myzubster-memory' ; } async store key, value, metadata = {} { const embedding = await this.embeddings.embedQuery value ; await this.index.upsert { id: key, values: embedding, metadata: { text: value, timestamp: new Date .toISOString , ...metadata } } ; } async retrieve query, topK = 5 { const embedding = await this.embeddings.embedQuery query ; const results = await this.index.query { vector: embedding, topK, includeMetadata: true } ; return results.matches; } } 3. Episodic Memory Event History javascript // agents/memory/episodic.js class EpisodicMemory { constructor { this.events = ; this.db = new SQLite3 'memory.db' ; } async recordEvent event { const { type, data, timestamp } = event; await this.db.run 'INSERT INTO events type, data, timestamp VALUES ?, ?, ? ', type, JSON.stringify data , timestamp || new Date .toISOString ; } async recallEvents type, limit = 10 { const rows = await this.db.all 'SELECT FROM events WHERE type = ? ORDER BY timestamp DESC LIMIT ?', type, limit ; return rows.map row = { ...row, data: JSON.parse row.data } ; } } 🤖 Agent Implementation Investor Agent Onboarding & KYC javascript // agents/investor-agent.js const { Agent } = require './base-agent' ; const { LongTermMemory } = require '../memory/long-term' ; const { KYCService } = require '../services/kyc' ; class InvestorAgent extends Agent { constructor { super { name: 'Investor Agent', role: 'Investor Onboarding & KYC', memory: new LongTermMemory } ; this.kyc = new KYCService ; } async processInvestor investorData { // 1. Check if investor is known const existing = await this.memory.retrieve investor:${investorData.email} ; if existing.length 0 { // 2. Recall previous interactions const history = await this.memory.retrieve history:${investorData.email} , 10 ; return this.handleReturningInvestor investorData, history ; } // 3. New investor - initiate KYC const kycResult = await this.kyc.verify investorData ; // 4. Store in memory await this.memory.store investor:${investorData.email} , JSON.stringify investorData , { type: 'investor', status: kycResult.status } ; return { success: kycResult.status === 'verified', message: kycResult.message, investorId: investorData.id }; } async handleReturningInvestor investorData, history { // Personalized onboarding based on history const lastInteraction = history 0 ?.text || 'No previous interactions'; return { success: true, message: Welcome back Based on your history, I've prepared your portfolio summary. , history: history }; } } Legal Agent Compliance & Documentation javascript // agents/legal-agent.js const { Agent } = require './base-agent' ; const { DocumentAnalyzer } = require '../services/document-analyzer' ; class LegalAgent extends Agent { constructor { super { name: 'Legal Agent', role: 'Compliance & Documentation', memory: new LongTermMemory } ; this.docAnalyzer = new DocumentAnalyzer ; } async reviewToken tokenData { // 1. Check compliance requirements const compliance = await this.checkCompliance tokenData ; // 2. Analyze legal documents const docs = await this.docAnalyzer.analyze tokenData.documents ; // 3. Store compliance record await this.memory.store compliance:${tokenData.id} , JSON.stringify compliance , { type: 'legal-review', status: compliance.status } ; return { compliant: compliance.status === 'compliant', issues: compliance.issues, recommendations: compliance.recommendations }; } async checkCompliance tokenData { // Singapore/Hong Kong regulatory checks const checks = { securities: this.isSecurity tokenData , accreditedInvestors: this.requiresAccredited tokenData , prospectusExemption: this.isExempt tokenData , kycAml: this.isCompliantKYC tokenData }; return { status: Object.values checks .every v = v ? 'compliant' : 'needs-review', issues: Object.entries checks .filter , v = v .map key = key , recommendations: this.getRecommendations checks }; } } Technical Agent Smart Contracts & Deployment javascript // agents/technical-agent.js const { Agent } = require './base-agent' ; const { Web3Service } = require '../services/web3' ; class TechnicalAgent extends Agent { constructor { super { name: 'Technical Agent', role: 'Token Deployment & Blockchain Operations', memory: new LongTermMemory } ; this.web3 = new Web3Service ; } async deployToken tokenConfig { // 1. Check if similar token exists const similar = await this.memory.retrieve token:${tokenConfig.symbol} , 1 ; // 2. Deploy smart contract const deployment = await this.web3.deployContract tokenConfig ; // 3. Record deployment await this.memory.store token:${tokenConfig.symbol} , JSON.stringify deployment , { type: 'deployment', status: deployment.success } ; return { success: deployment.success, contractAddress: deployment.address, txHash: deployment.txHash, gasUsed: deployment.gasUsed }; } async auditContract address { // 1. Retrieve contract history const history = await this.memory.retrieve audit:${address} , 5 ; // 2. Perform security audit const audit = await this.web3.auditContract address ; // 3. Store audit results await this.memory.store audit:${address} , JSON.stringify audit , { type: 'audit', status: audit.status } ; return { status: audit.status, vulnerabilities: audit.vulnerabilities, score: audit.score, recommendations: audit.recommendations }; } } 🔄 Orchestrator Agent javascript // agents/orchestrator.js const { EventEmitter } = require 'events' ; const { LongTermMemory } = require '../memory/long-term' ; class Orchestrator extends EventEmitter { constructor { super ; this.agents = {}; this.memory = new LongTermMemory ; this.activeTasks = new Map ; } registerAgent name, agent { this.agents name = agent; console.log ✅ Agent registered: ${name} ; } async executeTask task { const { type, data, context } = task; const taskId = ${type}:${Date.now } ; // 1. Check memory for similar tasks const similar = await this.memory.retrieve task:${type} , 3 ; // 2. Route to appropriate agent let agent = this.selectAgent type ; if agent { throw new Error No agent available for task: ${type} ; } // 3. Execute with context const result = await agent.process data, { ...context, history: similar } ; // 4. Store result await this.memory.store task:${taskId} , JSON.stringify result , { type, status: result.success ? 'success' : 'failed' } ; // 5. Notify completion this.emit 'task-complete', { taskId, result } ; return result; } selectAgent taskType { const mapping = { 'investor': 'Investor Agent', 'legal': 'Legal Agent', 'technical': 'Technical Agent', 'compliance': 'Legal Agent', 'deployment': 'Technical Agent', 'kyc': 'Investor Agent' }; const agentName = mapping taskType ; return this.agents agentName || null; } async getAgentStatus { const status = {}; for const name, agent of Object.entries this.agents { status name = { active: true, memory: await agent.memory.getStats , lastTask: agent.lastTask || null }; } return status; } } 💻 Integration Example javascript // server.js - Integrate multi-agent system const express = require 'express' ; const { Orchestrator } = require './agents/orchestrator' ; const { InvestorAgent } = require './agents/investor-agent' ; const { LegalAgent } = require './agents/legal-agent' ; const { TechnicalAgent } = require './agents/technical-agent' ; const app = express ; const orchestrator = new Orchestrator ; // Register agents orchestrator.registerAgent 'Investor Agent', new InvestorAgent ; orchestrator.registerAgent 'Legal Agent', new LegalAgent ; orchestrator.registerAgent 'Technical Agent', new TechnicalAgent ; // API endpoint for investor onboarding app.post '/api/investors/onboard', async req, res = { try { const result = await orchestrator.executeTask { type: 'investor', data: req.body, context: { source: 'api', timestamp: new Date .toISOString } } ; res.json { success: result.success, message: result.message, investorId: result.investorId } ; } catch error { res.status 500 .json { success: false, error: error.message } ; } } ; // API endpoint for token deployment app.post '/api/tokens/deploy', async req, res = { try { // 1. Legal review const legalResult = await orchestrator.executeTask { type: 'legal', data: req.body, context: { action: 'review' } } ; if legalResult.compliant { return res.status 400 .json { success: false, message: 'Token does not meet compliance requirements', issues: legalResult.issues } ; } // 2. Technical deployment const deployResult = await orchestrator.executeTask { type: 'deployment', data: req.body, context: { reviewed: true } } ; res.json { success: true, contractAddress: deployResult.contractAddress, txHash: deployResult.txHash } ; } catch error { res.status 500 .json { success: false, error: error.message } ; } } ; 🧪 Testing the Agents javascript // test/agents.test.js const { Orchestrator } = require '../agents/orchestrator' ; const { InvestorAgent } = require '../agents/investor-agent' ; describe 'Multi-Agent System', = { let orchestrator; beforeEach = { orchestrator = new Orchestrator ; orchestrator.registerAgent 'Investor Agent', new InvestorAgent ; } ; test 'should onboard new investor with memory', async = { const result = await orchestrator.executeTask { type: 'investor', data: { email: 'test@example.com', name: 'Test User', netWorth: 2000000 }, context: { source: 'test' } } ; expect result.success .toBe true ; expect result.investorId .toBeDefined ; } ; test 'should recall returning investor', async = { // First interaction await orchestrator.executeTask { type: 'investor', data: { email: 'returning@example.com', name: 'Returning User' }, context: { source: 'test' } } ; // Second interaction const result = await orchestrator.executeTask { type: 'investor', data: { email: 'returning@example.com', name: 'Returning User' }, context: { source: 'test' } } ; expect result.history .toBeDefined ; expect result.history.length .toBeGreaterThan 0 ; } ; } ; 🚀 Benefits of Multi-Agent System Benefit Description Specialization Each agent focuses on a specific domain Memory Agents remember past interactions and learn Scalability Easy to add new agents for new domains Resilience Agent failure doesn't break the whole system Personalization Agents adapt to user behavior over time 🛠️ Tech Stack Component Technology Agents Node.js + TypeScript Memory Pinecone/Chroma vector DB Context Redis/SQLite LLM OpenAI/Groq/Ollama Orchestration Custom event-driven 🔗 Connect With Me Platform Link Telegram Bot @myzubster bot GitHub github.com/DanielIoni-creator Twitter/X @MyZubster YouTube youtube.com/@myzubster Dev.to dev.to/danielioni Built with ❤️ by Daniel Ioni and the MyZubster team. Last updated: July 27, 2026