打造首个开源Web3友好型智能体系统，让AI能直接操作区块链应用
Eliza: A Web3 friendly AI Agent Operating System
- 基于TypeScript构建，用户完全掌控的Web3智能体框架
- 可无缝读写区块链数据、调用智能合约，实现去中心化交互
- 适合开发者快速部署Web3 AI应用，支持链上任务自动化
以大语言模型（LLM）为核心认知引擎的AI智能体，能够根据用户指令自主规划与执行任务路径。随着LLM能力爆发及各类插件（如RAG、文本生成图像/视频/3D等）的发展，其应用潜力持续扩展。然而，在AI与Web3交汇处，尚无理想的智能体框架能无缝集成去中心化应用。本文提出Eliza，首个开源的Web3友好型智能体框架，使Web3应用部署变得简单。所有Eliza组件均为用户完全可控的常规TypeScript程序，可无缝集成区块链读写、智能合约交互等功能。我们通过务实设计关键运行时组件，实现了稳定性能。代码已公开于https://github.com/ai16z/eliza。
原文摘要 · Abstract (English)
AI Agent, powered by large language models (LLMs) as its cognitive core, is an intelligent agentic system capable of autonomously controlling and determining the execution paths under user's instructions. With the burst of capabilities of LLMs and various plugins, such as RAG, text-to-image/video/3D, etc., the potential of AI Agents has been vastly expanded, with their capabilities growing stronger by the day. However, at the intersection between AI and web3, there is currently no ideal agentic framework that can seamlessly integrate web3 applications into AI agent functionalities. In this paper, we propose Eliza, the first open-source web3-friendly Agentic framework that makes the deployment of web3 applications effortless. We emphasize that every aspect of Eliza is a regular Typescript program under the full control of its user, and it seamlessly integrates with web3 (i.e., reading and writing blockchain data, interacting with smart contracts, etc.). Furthermore, we show how stable performance is achieved through the pragmatic implementation of the key components of Eliza's runtime. Our code is publicly available at https://github.com/ai16z/eliza.
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