AI Agent Framework Eliza Upgrade: V2 Version Brings Major Improvements

Recently, the highly anticipated AI Agent framework Eliza is set to launch its V2 version. Compared to the current version, V2 has significant improvements in architecture design and functionality, and it is expected to bring new possibilities to AI Agent development.

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

The upcoming V2 version has undergone a comprehensive upgrade based on this foundation. At the interface layer, a unified messaging bus has been introduced, integrating the originally scattered clients into a unified messaging processing system, with each platform acting as an adapter. This improvement simplifies client development and maintenance, providing a more consistent messaging processing experience.

The core functionality layer has added a unified proxy wallet, integrating the originally scattered 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, enhancing the framework's scalability and plugin integration capabilities.

In the model layer, V2 introduces a model registry mechanism that supports dynamic registration and overriding of models, and divides the models into two categories: LLMs and Embeddings, achieving a more flexible model invocation method.

In addition, the V2 version has improved the plugin system, updated the community plugins, and achieved 100% test coverage to ensure the quality and stability of the framework.

Overall, the architecture of Eliza V2 is more modular and unified, with clearer interactions between components, providing a better foundation for future expansions. These improvements not only enhance the performance and usability of the framework but also create new growth opportunities for functional expansion plugins like AgentTank. With the continuous development of AI Agent technology, the launch of Eliza V2 will undoubtedly push the entire field forward significantly.