10 个开源无代码 AI 平台，用于构建 LLM 应用、RAG 系统和 AI 智能体

构建大型语言模型（LLM）应用程序不再需要手动编写编排代码。一类开源平台现在通过可视化画布、网页用户界面和自然语言提示，提供检索、代理和工作流功能。这些工具让开发者能够在几分钟内进行原型设计，并自托管以控制数据。

本文回顾了十个开源项目，涵盖三个任务：构建LLM应用、构建RAG系统以及构建AI代理。每个项目条目介绍了工具的功能、核心能力、适用人群，以及其经过验证的许可证和代码库。

Building an LLM application no longer requires wiring orchestration code by hand. A class of open-source platforms now exposes retrieval, agents, and workflows through visual canvases, web UIs, and plain-English prompts. These tools let developers prototype in minutes and self-host for data control.

This article reviews ten open-source projects across three jobs: building LLM apps, building RAG systems, and building AI agents. Each entry covers what the tool does, its core capabilities, who it suits, and its verified license and repository.