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The AI Agent framework Eliza V2 is about to be released, with an architecture upgrade leading the industry in a new direction.
The AI Agent framework Eliza is about to undergo a major upgrade, with the V2 version set to be released soon.
Recently, the AI Agent framework Eliza, which has attracted significant attention in the industry, is undergoing a major upgrade. After in-depth research, we found that version V2 has made significant improvements and innovations compared to the current version.
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 management, respectively. The model layer supports various large language models, providing a unified interface abstraction.
The upcoming V2 version has undergone multiple optimizations in architectural design:
The interface layer has introduced a unified message bus, transforming the previously fragmented client integration into a unified message processing system. This improvement simplifies client development and maintenance work, providing a more consistent message processing experience.
The core functionality layer has added a unified proxy wallet, integrating the previously dispersed wallet configurations, providing unified multi-chain wallet management, and simplifying cross-chain operations.
The scalability of the framework has been enhanced, the redesigned core interface is more versatile, the plugin system has been improved, and plugin management has been refined.
The model layer introduces a model registry mechanism, supporting dynamic registration and overriding of models, categorizing models into two main types: LLMs and Embeddings, providing a more flexible way to call models.
The development team also promises to achieve 100% test coverage to ensure the stability and reliability of the framework.
These improvements have made the architecture of Eliza V2 more modular and unified, with clearer interactions between different components, providing a better foundation for future expansions. The alpha version of Eliza V2 is expected to be launched in 2 to 3 weeks, which will undoubtedly bring new development opportunities to the AI Agent field.