We introduce AI2Apps, a Visual Integrated Development Environment (Visual
IDE) with full-cycle capabilities that accelerates developers to build
deployable LLM-based AI agent Applications. This Visual IDE prioritizes both
the Integrity of its development tools and the Visuality of its components,
ensuring a smooth and efficient building experience.On one hand, AI2Apps
integrates a comprehensive development toolkit ranging from a prototyping
canvas and AI-assisted code editor to agent debugger, management system, and
deployment tools all within a web-based graphical user interface. On the other
hand, AI2Apps visualizes reusable front-end and back-end code as intuitive
drag-and-drop components. Furthermore, a plugin system named AI2Apps Extension
(AAE) is designed for Extensibility, showcasing how a new plugin with 20
components enables web agent to mimic human-like browsing behavior. Our case
study demonstrates substantial efficiency improvements, with AI2Apps reducing
token consumption and API calls when debugging a specific sophisticated
multimodal agent by approximately 90% and 80%, respectively. The AI2Apps,
including an online demo, open-source code, and a screencast video, is now
publicly accessible.

AI2Apps 是一个具有全周期能力的视觉集成开发环境，旨在加速开发人员构建可部署的基于 LLM 的人工智能代理应用。通过将完备的开发工具集和直观的可拖放组件相结合，AI2Apps 确保了开发的高效和流畅。一项扩展插件系统 AAE 展示了新插件如何使 Web 代理模拟类似于人类浏览行为，通过我们的案例研究，证明了 AI2Apps 在调试复杂多模态代理时，减少了 90％的令牌消耗和 80％的 API 调用，其在线演示、开源代码和屏幕录像视频现已公开访问。

AI2Apps: 基于 LLM 的 AI 智能代理应用的可视化 IDE

AI2Apps: A Visual IDE for Building LLM-based AI Agent Applications

This paper envisions a revolutionary AIOS-Agent ecosystem, where Large
Language Model (LLM) serves as the (Artificial) Intelligent Operating System
(IOS, or AIOS)--an operating system ``with soul''. Upon this foundation, a
diverse range of LLM-based AI Agent Applications (Agents, or AAPs) are
developed, enriching the AIOS-Agent ecosystem and signaling a paradigm shift
from the traditional OS-APP ecosystem. We envision that LLM's impact will not
be limited to the AI application level, instead, it will in turn revolutionize
the design and implementation of computer system, architecture, software, and
programming language, featured by several main concepts: LLM as OS
(system-level), Agents as Applications (application-level), Natural Language as
Programming Interface (user-level), and Tools as Devices/Libraries
(hardware/middleware-level).

这篇论文描述了一个具有革命性的 AIOS-Agent 生态系统，其中大型语言模型（LLM）作为具有灵魂的（人工）智能操作系统（IOS 或 AIOS）的基础。在此基础上，开发了多种基于 LLM 的 AI Agent 应用（AAPs），丰富了 AIOS-Agent 生态系统，并标志着从传统的 OS-APP 生态系统向新的范式转变。我们预见 LLM 的影响不会局限于人工智能应用层面，相反，它将彻底改变计算机系统、架构、软件和编程语言的设计和实施，主要概念包括 LLM 作为操作系统（系统级别）、应用程序作为应用程序（应用程序级别）、自然语言作为编程接口（用户级别）和工具作为设备 / 库（硬件 / 中间件级别）。