agentprivacy-holonic-architect

What problem does it solve?

This Skill addresses the challenge of creating durable, identity-independent data structures that can persist across different providers, chains, and environments, ensuring data longevity and integrity for AI agents.

Core Features & Use Cases

• Identity-Independent Data Structures: Designs systems where data identity (GUID) is separate from storage location and principal identity (DID/VRC).
• Multi-Provider Persistence: Implements robust data persistence strategies across diverse backends (e.g., IPFS, MongoDB, Zcash, Ethereum) using patterns like HyperDrive.
• O(1) Scaling: Utilizes shared-parent architectures for collective structures like guilds and intel pools, enabling efficient scaling without pairwise coupling.
• Use Case: Designing the persistent memory for a dual-agent system where both the Swordsman (privacy-focused) and Mage (action-focused) agents need their state to survive TEE rotations, chain migrations, or provider failures, all while maintaining their distinct operational boundaries.

Quick Start

Design a holon structure for storing guild member VRCs using a shared-parent pattern.