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feat: 统一 apps/mcp/services 为 entries/ Skill 格式
将 20 个条目从三个分散目录(apps/8、mcp/7、services/5)迁移到统一的 entries/ 目录。每个条目包含: - manifest.json:极简结构化元数据 - install.md:自然语言安装说明(如适用) - usage.md:自然语言使用说明和连接配置 Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
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entries/dify/install.md
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entries/dify/install.md
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# 安装 Dify
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Dify 是一个开源的 LLM 应用开发平台,提供从 Agent 构建到 AI Workflow 编排、RAG 检索、模型管理等能力,轻松构建和运营生成式 AI 原生应用。支持数百种模型接入。
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## 环境要求
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- Docker 已安装并运行
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- 内存:≥ 4GB
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- 磁盘空间:≥ 10GB
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- 端口:3000, 5001
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## 安装方式
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使用 `docker-compose` 部署。
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### 步骤
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1. 克隆项目仓库或下载 docker-compose.yml
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2. 根据需要修改 `.env` 配置文件
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3. 启动服务:
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```bash
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docker compose up -d
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```
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## 配置项
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- Docker 运行环境
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- OpenAI API Key(可选)
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## 验证
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访问 `http://localhost:3000` 确认服务已启动。
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entries/dify/manifest.json
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entries/dify/manifest.json
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{
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"id": "dify",
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"name": "Dify",
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"type": "docker-app",
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"version": "0.8.3",
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"author": "Dify.AI",
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"description": "开源 AI 应用开发平台,支持 RAG、Agent、工作流编排",
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"tags": [
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"LLM",
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"RAG",
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"Agent",
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"Workflow"
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],
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"icon": "linear-gradient(135deg, #1C64F2, #7C3AED)",
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"iconLetter": "D",
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"platformSupport": [
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"macos",
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"windows",
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"linux"
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]
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}
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entries/dify/usage.md
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entries/dify/usage.md
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# 使用 Dify
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## 服务描述
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开源 AI 应用开发平台,支持 RAG、Agent、工作流编排
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## 访问方式
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- **Web 界面**:`http://localhost:3000`
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- **GitHub**:https://github.com/langgenius/dify
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