作者：Ningning
花了点儿时间研究了一下 AI16Z 的 AI Agent 框架 Eliza 当前版本，与 Shawn 透露的 V2 版本之间的差别。
在对比之前，我们先了解一下当前版本和 V2 版本的基本架构。
如图 1 所示，当前版本的 Eliza 框架由接口层（Interface Layer）、核心功能层（Core Layer）、模型层（Model Layer）组成。
接口层（Interface Layer）
负责与外部平台的交互
支持 Discord、Twitter、Telegram 等多个平台
提供 API 接口供其他系统调用
核心功能层（Core Layer）
记忆系统：提供可检索的存储功能和文档处理能力
行为系统：管理自定义行为和动作执行
配置系统：通过.env 和 elizaConfig.yaml 管理配置
模型层（Model Layer）
支持多种大语言模型，包括 OpenAI、Anthropic、Llama、Grok 等
提供统一的模型接口抽象
各层之间通过标准接口进行交互，支持高度的模块化和可扩展性。
15 日 Shawn 透露正在开发 Eliza v2 版本，预计 2 至 3 周可以推出 alpha 版本。
Eliza v2 将统一消息总线并简化客户端 ；统一的 Agent 钱包；模型系统采用注册表和覆盖模式；增强可扩展通用核心框架；更新社区插件；完成 100% 测试覆盖率。
V2 版本的架构设计图推测如下：
让我解释一下 Eliza v2 的主要改进及其在架构中的位置：
接口层的改进：统一消息总线
将原来分散的客户端集成改为统一的消息处理系统
各个平台 (Discord/Twitter 等 ) 变成消息总线的适配器
简化了客户端开发和维护工作
提供更一致的消息处理体验
核心功能层的改进：统一代理钱包
整合了原来分散的钱包配置
提供统一的多链钱包管理
简化跨链操作
可扩展核心框架:重新设计核心接口使其更通用
增强框架的可扩展性
更好的插件集成机制
社区插件更新:改进插件系统
完善插件管理
100% 测试覆盖保证质量
模型层的改进：引入模型注册表机制
支持模型的动态注册和覆盖
将模型分为 LLMs 和 Embeddings 两大类
更灵活的模型调用方式
这个新版本的架构更加模块化和统一，不同组件之间的交互更加清晰，也为未来的扩展提供了更好的基础。
最后，如果从投资的角度分析的话，Eliza v2 将为 AgentTank 这类功能扩展插件带来新的增长机遇。
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