The AI Agent framework Eliza has been upgraded to version V2, bringing multiple important improvements.

Recently, the Eliza AI Agent framework is about to launch its V2 version. As a highly anticipated open-source project, Eliza V2 has made significant improvements in both architecture design and functionality implementation. Let's take a look at the changes brought by this upgrade.

The current version of Eliza consists of three main levels: the interface layer, the core functionality layer, and the model layer. The interface layer is responsible for interacting with various external platforms, supporting multiple social media platforms, and providing API interfaces. The core functionality layer includes the memory system, behavior system, and configuration system, which are responsible for data storage, action execution, and settings management, respectively. The model layer supports a variety of large language models and provides a unified interface abstraction.

The V2 version has been comprehensively upgraded based on this foundation. Firstly, the interface layer has introduced a unified message bus, transforming the originally fragmented client integration into a unified message processing system. This improvement simplifies client development and maintenance tasks, providing a more consistent message processing experience.

The core functional layer has added a unified proxy wallet, integrating the originally dispersed wallet configurations, providing unified multi-chain wallet management, and simplifying cross-chain operations. At the same time, the V2 version has redesigned the core interface to make it more universal, enhanced the framework's scalability, and optimized the plugin integration mechanism.

At the model level, the V2 version introduces a model registry mechanism that supports dynamic registration and overriding of models, dividing models into two main categories: LLMs and Embeddings, thereby achieving a more flexible model invocation method.

In addition, the V2 version has improved the plugin system, enhanced plugin management, and ensured quality through 100% test coverage. These improvements have made Eliza's architecture more modular and unified, with clearer interactions between different components, laying a solid foundation for future functional expansions.

The alpha version of Eliza V2 is expected to be officially released in the next 2-3 weeks. This upgrade not only enhances the overall performance and scalability of the framework but also brings new development opportunities for functional extension plugins like AgentTank. With the continuous advancement of AI Agent technology, we look forward to seeing more innovative applications emerge in this field.