MyZubster Builds Multi-Agent AI System with Long-Term Memory for Real Estate Tokenization

MyZubster, a real estate tokenization platform, is developing a multi-agent AI system inspired by Google's approach to handling complex, memory-driven workflows. The system uses a three-tier memory architecture comprising short-term context, long-term vector storage via Pinecone, and episodic event history stored in SQLite. Specialized AI agents, including an Investor Agent, handle tasks such as investor onboarding and KYC verification while retaining knowledge of past interactions. The platform leverages OpenAI embeddings and LangChain to enable agents to recognize returning investors and personalize responses accordingly. The goal is to automate end-to-end real estate tokenization processes, from asset management to investor relations, using coordinated AI agents.
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