Eliza: A Web3 friendly AI Agent Operating System

• URL: http://arxiv.org/abs/2501.06781v2
• Date: Fri, 24 Jan 2025 03:37:45 GMT
• Title: Eliza: A Web3 friendly AI Agent Operating System
• Authors: Shaw Walters, Sam Gao, Shakker Nerd, Feng Da, Warren Williams, Ting-Chien Meng, Amie Chow, Hunter Han, Frank He, Allen Zhang, Ming Wu, Timothy Shen, Maxwell Hu, Jerry Yan,
• Abstract summary: We propose Eliza, the first open-source web3-friendly Agentic framework. Every aspect of Eliza is a regular Typescript program under the full control of its user. We show how stable performance is achieved through the pragmatic implementation of the key components of Eliza's runtime.
• Score: 1.6664821906702634
• License:
• 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.

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