The ElizaOS V2 framework launched by ai16z aims to drive AI agents from a supporting role to a new stage of independent agents. The core architecture of its V2 version encompasses three main elements: first, a modular core framework that provides developers with the convenience of customizing AI agents; second, a unified abstraction layer that makes handling various on-chain assets smoother; third, an event-driven architecture that effectively enhances the processing capacity of real-time data. Furthermore, V2 introduces a new feature called layered task networks, allowing AI to break down complex high-level objectives into a series of structured steps. This feature is applicable not only to asset management execution in the DeFi space but also helps complete more complex tasks in gaming. From the evolution of projects like virtuals, ai16z, swarms, and arc, we can observe two commonly emphasized aspects: first, the vision of achieving truly independent AI agents; second, promoting collaborative cooperation among multiple AI agents.
