Agentic DAO: Enabling Autonomic, Collaboration, and Trust-Based User Engagement

Abstract

Recent advances in distributed system design have shifted from centralized client–server models to decentralized frameworks that enable broad inter-organizational collaboration. While Decentralized Autonomous Organizations (DAOs) leverage blockchain for governance and token-based transactions, existing platforms face two major limitations: the absence of decentralized authorization mechanisms and inadequate support for large-scale data management. This paper introduces Agentic DAO, a next-generation DAO architecture that integrates multi-agent authorization and scalable data governance into a blockchain-centric framework. The platform employs a Trust Scoring Agent using Graph Neural Networks (GNNs) to predict transactional reliability and a Data Management Agent to ensure consistency between blockchain and IPFS-based storage. Governance is reinforced through SoulBound Token (SBT)-based credentials to prevent Sybil attacks and enforce fair participation. A prototype implementation demonstrates the feasibility of trust-based access control and robust data synchronization. Experimental results confirm that Agentic DAO enhances transparency, scalability, and fairness compared to conventional DAO models, enabling secure and collaborative engagement in decentralized ecosystems.