AI Agent Frameworks Move Towards Blockchain Integration

According to PANews, there is a growing call for AI framework projects to integrate with blockchain technology. Despite past market fluctuations, the current era of AI Agents requires reliable autonomous decision-making and collaboration, which can be enhanced through blockchain integration. Currently, frameworks like ELIZA, ARC, and Swarms are in the conceptual phase, where their potential cannot be fully validated or quantified. These frameworks need to establish practical applications to gain market acceptance. Whether optimizing single AI Agent performance or facilitating multi-agent interactions, these frameworks must develop traceable logic and rules for AGI model API calls. Data remains off-chain, making inference processes difficult to verify, execution processes opaque, and results uncertain. In the short term, Trusted Execution Environments (TEE) offer a low-cost, feasible off-chain solution to accelerate AGI applications in AI Agent decision-making. However, a long-term solution requires on-chain consensus to enhance reliability. For instance, ELIZA aims to build an AI Agent autonomous private key management system using Phala Network's TEE secure remote authentication. This ensures that AI-Pool execution code remains unaltered before signing with private keys, marking a preliminary step in applying TEE to AI Agents. By embedding complex execution logic into Agent Contracts and involving Phala chain Validators in verification, a blockchain consensus-based TEE execution framework can be established. This would create a positive cycle where AI Agent demand drives TEE usage, and TEE enhances blockchain capabilities. While TEE can ensure private key invisibility, the rules for key invocation, risk control, and emergency response need decentralized consensus for real-time verification. In the short term, open-source code libraries can provide transparency, but long-term solutions require decentralized validation. Thus, blockchain integration can expedite AI Agent frameworks' transition to practical applications and offer new opportunities for crypto infrastructure. The direction is clear: identifying and supporting the earliest blockchain-integrated AI Agent frameworks and the foundational chains supporting them is key to capitalizing on this emerging trend.