AI Agent Framework Eliza V2: Architecture Optimization and Function Upgrade

Recently, we conducted an in-depth analysis of the current version of the AI Agent framework Eliza and the upcoming V2 version, discovering significant improvements in architectural design and functionality implementation in V2.

The current version of Eliza consists of three layers: the interface layer, the core functionality layer, and the model layer. The interface layer is responsible for interacting with external platforms, supporting multiple social platforms and providing API interfaces. The core functionality layer includes a memory system, a behavior system, and a configuration system, which handle storage and document processing, custom behavior management, and configuration file management, respectively. The model layer supports various large language models and provides a unified interface abstraction.

The architecture design of version V2 has undergone several important optimizations while retaining the original structure:

1. The interface layer introduces a unified message bus, integrating disparate clients into a unified message processing system. Each platform now acts as an adapter for the message bus, simplifying development and maintenance work, and providing a more consistent message processing experience.

2. The core functional layer has added a unified proxy wallet, integrating the previously scattered wallet configurations, providing unified multi-chain wallet management, and simplifying cross-chain operations.

3. The scalability of the framework has been enhanced, with the redesigned core interface becoming more generic, and the plugin system improved to provide better support for the integration and management of community plugins.

4. The model layer introduces a model registry mechanism that supports dynamic registration and overriding of models, categorizing models into LLMs and Embeddings, thus providing a more flexible way to call models.

These optimizations make the architecture of Eliza V2 more modular and unified, with clearer interactions between components, laying a solid foundation for future functional expansions. The alpha version of Eliza V2 is expected to be released in the next 2-3 weeks.

It is worth noting that the optimization of the new version's architecture not only enhances the overall performance and scalability of the framework but also creates new development opportunities for functional extension plugins such as AgentTank. These improvements will undoubtedly further promote the development and application of AI Agent technology.