ai16z’s AI Agent framework Eliza V2 is released. What upgrades has it made?

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
• Provide API interface for other systems to call

Core Layer

• Memory system: Provides retrievable storage capabilities and document processing capabilities
• Behavior system: manages custom behaviors and action executions
• Configuration system: manage configuration through .env and elizaConfig.yaml

Model Layer

• Supports multiple large language models, including OpenAI, Anthropic, Llama, Grok, etc.
• Provide a unified model interface abstraction

Each layer interacts with each other through standard interfaces, supporting a high degree of modularity and scalability.

On the 15th, Shawn revealed that the Eliza v2 version is under development 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 registry 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 their place in the architecture:

Improvements to the interface layer: Unified Message Bus

• Change the original scattered client integration into a unified message processing system
• Each platform (Discord/Twitter, etc.) becomes an adapter for the message bus
• Simplifies client development and maintenance
• Provide a more consistent messaging experience

Improvements to the core functional layer: unified proxy wallet

• Integrated the original decentralized wallet configuration
• Provide unified multi-chain wallet management
• Simplify cross-chain operations

Extensible Core Framework: Redesigning the core interface to make it more

versatile

• Enhance the scalability of the framework
• Better plug-in integration mechanism

Community plugin update: Improved plugin system

• Improve plug-in management
• 100% test coverage ensures quality

Improvement of the model layer: introduction of model registry mechanism

• Support dynamic registration and coverage of models
• Divide models into two categories: LLMs and Embeddings
• More flexible model calling method

The architecture of this new version is more modular and unified, the interaction between different components is clearer, and it also provides a better foundation for future expansion.

Finally, if analyzed from an investment perspective, Eliza v2 will bring new growth opportunities for functional extension plug-ins such as AgentTank.