AI Skill Hub 强烈推荐:BuildingAI Dify应用 是一款优质的AI工具。已获得 1.6k 颗 GitHub Star,AI 综合评分 8.0 分,在同类工具中表现稳健。如果你正在寻找可靠的AI工具解决方案,这是一个值得深入了解的选择。
基于Dify的开源AI应用搭建平台,提供积木式拖拽界面,帮助企业和个人快速构建智能体、客服、论文助手等AI应用,无需编码基础,适合企业和创意工作者。
BuildingAI Dify应用 是一款基于 TypeScript 开发的开源工具,专注于 AI应用搭建、低代码平台、智能体 等核心功能。作为 GitHub 开源项目,它拥有活跃的社区支持和持续的版本迭代,代码完全透明可审计,支持本地部署以保护数据隐私。无论是个人使用还是集成到企业工作流,都能提供稳定可靠的解决方案。
基于Dify的开源AI应用搭建平台,提供积木式拖拽界面,帮助企业和个人快速构建智能体、客服、论文助手等AI应用,无需编码基础,适合企业和创意工作者。
BuildingAI Dify应用 是一款基于 TypeScript 开发的开源工具,专注于 AI应用搭建、低代码平台、智能体 等核心功能。作为 GitHub 开源项目,它拥有活跃的社区支持和持续的版本迭代,代码完全透明可审计,支持本地部署以保护数据隐私。无论是个人使用还是集成到企业工作流,都能提供稳定可靠的解决方案。
# 方式一:npm 全局安装 npm install -g buildingai # 方式二:npx 直接运行(无需安装) npx buildingai --help # 方式三:项目依赖安装 npm install buildingai # 方式四:从源码运行 git clone https://github.com/BidingCC/BuildingAI cd BuildingAI npm install npm start
# 命令行使用
buildingai --help
# 基本用法
buildingai [options] <input>
# Node.js 代码中使用
const buildingai = require('buildingai');
const result = await buildingai.run(options);
console.log(result);
# buildingai 配置说明 # 查看配置选项 buildingai --config-example > config.yml # 常见配置项 # output_dir: ./output # log_level: info # workers: 4 # 环境变量(覆盖配置文件) export BUILDINGAI_CONFIG="/path/to/config.yml"
<p align="center"> <a href="https://www.buildingai.cc/" target="_blank"><img src="./assets/banner.png" width="100%" alt="BuildingAI Banner" /></a> </p>
<p align="center"> <a href="http://demo.buildingai.cc/" target="_blank">Live Demo</a>| <a href="https://www.buildingai.cc/">Official Website</a>| <a href="./README.zh-CN.md">中文文档</a> </p>
<p align="center"> <a href="https://nestjs.com/"><img src="https://img.shields.io/badge/NestJS-11.x-ea2845" alt="NestJS" /></a> <a href="https://typeorm.io/"><img src="https://img.shields.io/badge/Typeorm-0.3.x-ef4100" alt="TypeORM" /></a> <a href="https://www.postgresql.org/"><img src="https://img.shields.io/badge/PostgreSQL-17.x-29527d" alt="PostgreSQL" /></a> <a href="https://www.typescriptlang.org/"><img src="https://img.shields.io/badge/TypeScript-5.x-3178c6" alt="TypeScript" /></a> <a href="https://turbo.build/"><img src="https://img.shields.io/badge/Turbo-2.x-6d5cb3" alt="Turbo" /></a> <a href="https://vuejs.org/"><img src="https://img.shields.io/badge/Vue.js-3.x-3aaf78" alt="Vue.js" /></a> <a href="https://vitejs.dev/"><img src="https://img.shields.io/badge/Vite-7.x-646cff" alt="Vite" /></a> <a href="https://ui.nuxt.com/"><img src="https://img.shields.io/badge/NuxtUI-3.x-00b95f" alt="NuxtUI" /></a> <a href="https://nuxt.com/"><img src="https://img.shields.io/badge/NuxtJS-4.x-00b95f" alt="NuxtJS" /></a> </p>
BuildingAI is an enterprise-grade open-source intelligent agent platform designed for AI developers, AI entrepreneurs, and forward-thinking organizations. Through a visual configuration interface (Do It Yourself), you can build native enterprise AI applications without code. The platform offers native capabilities such as intelligent agents, MCP, RAG pipelines, knowledge bases, large-model aggregation, and context engineering, along with user registration, membership subscriptions, compute billing, and other business operations.
- AI Conversations: Conversational AI and text generation powered by large language models, with support for multimodal models. - AI Agents: Create agents with memory, goals, and tool usage for autonomous task execution. - Knowledge Base: Build knowledge bases from documents with vector search and RAG-enhanced generation. - MCP Integration: Call MCP tools via SSE and Streamable HTTP protocols. - Model Management: Integrate mainstream large models under a unified API specification. - Extension Mechanism: Expand system capabilities and AI skills by installing extensions. - Billing & Payments: Built-in membership management, billing, and payment features ready to use.
docker compose up -d ```
Wait for images to be pulled and the project to build. Depending on your device performance and network conditions, this usually takes about 5–10 minutes. You can check the build progress in the Node.js container logs; once an accessible URL appears, the project has started successfully.
After the project has fully started, open your browser and visit http://localhost:4090/install to complete the initial setup wizard.
For other deployment methods, see our Deployment Guide.
Before installing BuildingAI, make sure your device meets the minimum requirements: - CPU: ≥ 2 cores - Memory: ≥ 4 GB RAM - Storage: ≥ 5 GB free space
Deploying BuildingAI with Docker is the simplest and most stable option. Ensure that Docker and Docker Compose are already installed on your device.
```bash

cp .env.example .env
积木式AI应用平台,降低AI应用开发门槛,社区活跃度较好。实用性强,适合快速原型开发和小型应用部署。
AI Skill Hub 为第三方内容聚合平台,本页面信息基于公开数据整理,不对工具功能和质量作任何法律背书。
建议在沙箱或测试环境中充分验证后,再部署至生产环境,并做好必要的安全评估。
✅ Apache 2.0 — 宽松开源协议,可商用,需保留版权声明和 NOTICE 文件,含专利授权条款。
总体来看,BuildingAI Dify应用 是一款质量优秀的AI工具,在同类工具中具备一定竞争力。AI Skill Hub 将持续追踪其更新动态,建议收藏备用,结合自身场景选择合适时机引入使用。
| 原始名称 | BuildingAI |
| 原始描述 | 开源Dify应用:AI时代的WordPress,东半球首个积木式AI应用搭建系统,人人都可免费搭建自己的AI应用系统,例如企业智能体系统、AI漫剧系统、AI论文学术系统、AI客服。⭐1.6k · TypeScript |
| Topics | AI应用搭建低代码平台智能体Dify生态开源 |
| GitHub | https://github.com/BidingCC/BuildingAI |
| License | Apache-2.0 |
| 语言 | TypeScript |
收录时间:2026-05-13 · 更新时间:2026-05-16 · License:Apache-2.0 · AI Skill Hub 不对第三方内容的准确性作法律背书。