Dev Tools · 2h ago
Multi-Agent System with Long-Term Memory for Real Estate Tokenization
A developer details building a multi-agent AI system for real estate tokenization, featuring specialized agents for investor onboarding, legal compliance, and technical operations. The system uses a three-tier memory architecture with short-term context, vector-based long-term storage, and user preferences. Inspired by Google's approach, it aims to personalize and automate property tokenization workflows.
Meridian48 take
The architecture is interesting but the real-world deployment and scalability of such a system remain unproven beyond the prototype stage.
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multi-agent-systemsreal-estate-tokenization