Litepaper

Table of Contents

Use Cases

As autonomous AI agents take on increasingly personalized roles, their ability to retain memory becomes essential. Agents need memory to track context, maintain long-term engagement, and make consistent decisions over time.
Most systems today rely on centralized infrastructure, creating risks around privacy, ownership, and auditability. This is especially critical in sensitive domains like mental health, where AI-powered assistants may engage in ongoing conversations involving deeply personal information. Without guarantees about how memory is stored, accessed, or deleted, users remain exposed to privacy and compliance risks.
DataHaven enables encrypted, verifiable memory storage through a specialized class of Main Storage Providers (MSPs) designed for AI agents.

Banks, exchanges, and fintech platforms use DataHaven to create permanent, verifiable records that meet SEC, FINRA, and audit requirements. From trade archives and settlement proofs to compliance logs and customer communications, DataHaven provides the durability and transparency financial institutions need—without sacrificing performance or availability.

In multiplayer and AI-assisted games, accurate and tamper-proof recordkeeping is key to fairness, transparency, and replayability. Traditional game logs live on centralized servers—mutable, inaccessible, or easily lost—making it impossible to verify outcomes independently.
DataHaven offers a decentralized, verifiable storage layer for match data, enabling developers and players to archive and validate gameplay history with cryptographic integrity guarantees.