Eliza: A Web3 friendly AI Agent Operating System

TL;DR

Eliza is an open-source framework that enables seamless integration of web3 applications with AI agents powered by large language models, providing a user-controlled, Typescript-based environment for blockchain interactions.

Contribution

It introduces the first web3-friendly AI agent framework that simplifies deploying web3 applications within AI agents using Typescript.

Findings

Seamless blockchain data reading and writing

Effortless deployment of web3 applications

Stable performance through pragmatic implementation

Abstract

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.