Sort out the differences between the current version of AI16Z’s AI Agent framework Eliza and the V2 version revealed by Shawn. (Preliminary summary: Conversation with ai16z founder: Why will AI meme become a huge market?) (Background supplement: ai16z price has been cut in half! The release of the new meme currency ELIZA was questioned, triggering a dispute over capitalization in the community, what happened? (Things?) I spent some time studying the differences between the current version of AI16Z’s AI Agent framework Eliza and the V2 version revealed by Shawn. Before comparing, let’s first understand the basic architecture of the current version and the V2 version. As shown in Figure 1, the current version of the Eliza framework consists of the interface layer (Interface Layer), core function layer (Core Layer), and model layer (Model Layer). Interface Layer: Responsible for interaction with external platforms. Supports Discord, Twitter, Telegram and other platforms. Provides API interfaces for other systems to call. Core Function Layer (Core Layer) Memory System: Provides retrievable storage functions and file processing capabilities. System: Manage custom behaviors and action execution configuration System: Manage configuration model layer (Model Layer) through .env and elizaConfig.yaml Support multiple large language models, including OpenAI, Anthropic, Llama, Grok, etc. Provide unified model interface abstraction The layers interact through standard interfaces, supporting a high degree of modularity and scalability. On the 15th, Shawn revealed that Eliza v2 is being developed and the alpha version is expected to be launched in 2 to 3 weeks. Eliza v2 will unify the message bus and simplify the client; unify the Agent wallet; the model system adopts the login file and coverage mode; enhance the extensible common core framework; update the community plug-in; complete 100% test coverage. The architectural design diagram of the V2 version is speculated as follows: Let me explain the main improvements of Eliza v2 and its position in the architecture: Improvements in the interface layer: The unified message bus changes the original scattered client integration into a unified message processing system The platform (Discord/Twitter, etc.) becomes an interface card for the message bus, which simplifies client development and maintenance work and provides a more consistent message processing experience. Improvements in the core functional layer: the unified proxy wallet integrates the original scattered wallet configuration to provide a unified multi- Chain wallet management simplifies cross-chain operations. Extensible core framework: Redesign the core interface to make it more versatile. Enhance the scalability of the framework. Better plug-in integration mechanism. Community plug-in update: Improve the plug-in system and improve plug-in management. 100% test coverage to ensure quality model. Improvement of layer: Introducing a model registration file mechanism to support dynamic registration and overwriting of models. Divide models into two categories: LLMs and Embeddings. A more flexible model calling method. The architecture of this new version is more modular and unified, and the interaction between different components is It is clearer and provides a better foundation for future expansion.Finally, if analyzed from an investment perspective, Eliza v2 will bring new growth opportunities for function expansion plug-ins such as AgentTank. Related reports focus on AI Agents) Solana will host the first Artificial Intelligence Hackathon, ai16z, ELIZA... Concept coins are jumping together Solana AI Hackathon is online: A look at 12 AI Agents New projects A quick look at Binance Alpha's ten projects highlights and code Coin Economics "ai16z releases the latest AI Agent framework "Eliza V2", what are the upgrades? "This article was first published in BlockTempo (Dong District Dongzhu - the most influential blockchain news media).