n8n AI工作流自动化
n8n AI工作流自动化 是 AI Skill Hub 本期精选AI工具之一。综合评分 8.2 分，整体质量较高。我们强烈推荐将其纳入你的 AI 工具库，帮助提升工作效率。
📚 深度解析
**为什么要使用开源工具而非商业 SaaS？**
对于个人开发者和有隐私需求的用户，本地部署的开源工具意味着数据不离本机，不受第三方服务商的数据政策约束。同时，开源工具通常没有使用次数限制和月度费用，一次安装即可长期使用，对于高频使用场景的总拥有成本（TCO）远低于订阅制商业工具。
**安装与环境准备**
n8n AI工作流自动化 依赖 Shell 运行环境。建议通过 pyenv（Python）或 nvm（Node.js）管理 Shell 版本，避免全局环境污染。对于新手用户，推荐先创建虚拟环境（python -m venv venv && source venv/bin/activate），再安装依赖，这样即使出现问题也可以随时删除虚拟环境重新开始，不影响系统稳定性。
**社区与维护**
GitHub Issue 和 Discussion 是获取帮助的最快渠道。在提问前建议先检查 Closed Issues（已关闭的问题），大多数常见问题都已有解答。遇到 Bug 时，提供 pip list 的输出、完整错误堆栈和最小可复现示例，能显著提高开发者响应速度。AI Skill Hub 将持续追踪 n8n AI工作流自动化 的版本更新，及时通知重要功能变化。
📋 工具概览
n8n AI工作流自动化 是一款基于 Shell 开发的开源工具，专注于 工作流自动化、本地部署、AI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。
📖 中文文档
n8n AI工作流自动化 是一款基于 Shell 开发的开源工具，专注于 工作流自动化、本地部署、AI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。
- 开源免费，支持本地部署，数据完全自主可控
- 活跃的 GitHub 开源社区，持续迭代更新
- 提供详细文档和使用示例，新手友好
- 支持自定义配置，灵活适配不同使用环境
- 可作为基础组件集成进现有技术栈或进行二次开发
- 本地部署运行，保护数据隐私，满足合规要求
- 自定义集成到现有系统，扩展技术栈能力
- 作为开源基础组件进行商业化二次开发
# 克隆仓库 git clone https://github.com/kossakovsky/n8n-install cd n8n-install # 查看安装说明 cat README.md # 按 README 完成环境依赖安装后即可使用
- 访问 GitHub 仓库页面
- 按照 README 文档完成依赖安装
- 根据系统环境完成初始化配置
- 参考官方示例或文档开始使用
- 遇到问题可在 GitHub Issues 中查找解答
# 查看帮助 n8n-install --help # 基本运行 n8n-install [options] <input> # 详细使用说明请查阅文档 # https://github.com/kossakovsky/n8n-install
# n8n-install 配置说明 # 查看配置选项 n8n-install --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 N8N_INSTALL_CONFIG="/path/to/config.yml"
Self-Hosted AI Automation Platform
Deploy 30+ AI and automation tools with a single command. This open-source Docker Compose template creates a complete self-hosted environment with n8n (workflow automation), Flowise (AI agents), Ollama (local LLMs), vector databases (Qdrant, Weaviate), RAG engines, Supabase, monitoring stack, and more — all pre-configured behind Caddy reverse proxy with automatic HTTPS. Plus, optionally import 300+ community workflows during setup!
Key Features
- Private AI Homelab — Run LLMs locally with Ollama, keep your data on your own servers
- ChatGPT Alternative — Open WebUI provides a familiar chat interface for local AI models
- Workflow Automation — n8n with 400+ integrations, scalable queue-based architecture
- AI Agents & RAG — Flowise, Dify, LangChain, vector databases (Qdrant, Weaviate)
- One Command Install — Interactive wizard, automatic secrets, zero manual configuration
- Auto HTTPS — Caddy reverse proxy with automatic Let's Encrypt certificates
- Built-in Monitoring — Grafana + Prometheus stack included
- Production Ready — Scalable workers, health checks, proper service dependencies
- Free & Open Source — No vendor lock-in, Apache 2.0 license
---
What's Included
✅ Caddy, Postgres, and Redis - Core services for web proxy, database, and caching, which are always included.
The installer also makes the following powerful open-source tools available for you to select and deploy via an interactive wizard during setup:
✅ Appsmith - An open-source low-code platform for building internal tools, dashboards, and admin panels with a drag-and-drop UI builder.
✅ n8n - A low-code platform with over 400 integrations and advanced AI components to automate workflows.
✅ ComfyUI - A powerful, node-based UI for Stable Diffusion workflows. Build and run image-generation pipelines visually, with support for custom nodes and extensions.
✅ Crawl4ai - A flexible web crawler designed for AI, enabling you to extract data from websites for your projects.
✅ Docling - Universal document converter that transforms PDF, DOCX, PPTX, XLSX, HTML, and images into clean Markdown or JSON. Features advanced PDF parsing, OCR support, and a REST API with optional web UI. Perfect for document processing in n8n workflows.
✅ Dify - An open-source AI application development platform that provides comprehensive LLMOps capabilities, including workflow management, prompt engineering, RAG pipelines, and AI agent orchestration. Perfect for building production-ready AI applications.
✅ Flowise - A no-code/low-code AI agent builder that complements n8n perfectly, allowing you to create sophisticated AI applications with ease.
✅ Gost - Versatile HTTP/HTTPS proxy for routing AI service outbound traffic through a central proxy point
✅ Gotenberg - A stateless API for converting HTML, Markdown, Word, Excel, and other documents to PDF, PNG, or JPEG. Available only within the Docker network for internal use by n8n workflows and other services.
✅ Grafana - An open-source platform for visualizing monitoring data, helping you understand system performance at a glance.
✅ Langfuse - An open-source platform to help you observe and understand how your AI agents are performing, making it easier to debug and improve them.
✅ Letta - An open-source agent server and SDK that can be connected to various LLM API backends (OpenAI, Anthropic, Ollama, etc.), enabling you to build and manage AI agents.
✅ LightRAG - A simple and fast graph-based Retrieval-Augmented Generation system with automatic knowledge graph extraction, dual-level retrieval mechanisms, and incremental updates. Supports multiple storage backends (PostgreSQL, Neo4j, JSON) and embedding models.
✅ LibreTranslate - Self-hosted translation API (50+ languages).
✅ Neo4j - A graph database management system that allows you to model, store, and query data as a network of nodes and relationships.
✅ NocoDB - An open source Airtable alternative that turns any database into a smart spreadsheet with a no-code interface for building collaborative apps.
✅ Ollama - Run Llama 3, Mistral, Gemma, and other large language models locally.
✅ Open WebUI - A user-friendly, ChatGPT-like interface to interact privately with your AI models and n8n agents.
✅ PaddleOCR - A CPU-ready OCR API powered by PaddleX Basic Serving.
✅ Portainer - A lightweight, secure web UI to manage your Docker environment (containers, images, volumes, networks) with ease.
✅ Databasus - Database backups & monitoring with a self-hosted UI.
✅ Postiz - An open-source social media scheduling and publishing platform.
✅ Prometheus - An open-source monitoring and alerting toolkit to keep an eye on system health.
✅ Qdrant - A high-performance open-source vector store, specialized for AI. While Supabase also offers vector capabilities, Qdrant is included for its speed, making it ideal for demanding AI tasks.
✅ RAGApp - Open-source application to build Retrieval-Augmented Generation (RAG) assistants over your data. Provides a web UI for chat and an HTTP API for integration with your workflows.
✅ RAGFlow - An open-source RAG engine based on deep document understanding with Elasticsearch backend, providing truthful question-answering capabilities with well-founded citations from complex formatted data.
✅ SearXNG - A free, open-source internet metasearch engine. It aggregates results from numerous search services without tracking or profiling you, ensuring your privacy.
✅ Supabase - An open-source alternative to Firebase, providing database storage, user authentication, and more. It's a popular choice for AI applications.
✅ Uptime Kuma - Self-hosted uptime monitoring tool with notifications
✅ WAHA - WhatsApp HTTP API (REST API) that you can configure in a click! 3 engines: WEBJS (browser based), NOWEB (websocket nodejs), GOWS (websocket go).
✅ Weaviate - An open-source AI-native vector database with a focus on scalability and ease of use. It can be used for RAG, hybrid search, and more.
Prerequisites before Installation
1. Domain Name: You need a registered domain name (e.g., yourdomain.com). 2. DNS Configuration: Before running the installation script, you must configure DNS A-record for your domain, pointing to the public IP address of the server where you'll install this system. Replace yourdomain.com with your actual domain: - Wildcard Record: A *.yourdomain.com -> YOUR_SERVER_IP 3. VPS (Virtual Private Server): A dedicated VPS with a public IP address is required. Home servers, shared hosting, or localhost setups are not supported. - Operating System: Ubuntu 24.04 LTS, 64-bit - For a minimal setup with n8n, Monitoring, Databasus and Portainer: 4 GB Memory / 2 CPU Cores / 40 GB Disk Space - For running all available services: at least 20 GB Memory / 4 CPU Cores / 60 GB Disk Space
Why This Setup?
This installer helps you create your own powerful, private AI workshop. Imagine having a suite of tools at your fingertips to:
- Automate repetitive tasks.
- Build smart assistants tailored to your needs.
- Analyze information and gain insights.
- Generate creative content.
This setup provides a comprehensive suite of cutting-edge services, all pre-configured to work together. Key advantages include:
- Rich Toolset: Get a curated collection of powerful open-source tools for AI development, automation, and monitoring, all in one place.
- Scalable n8n Performance: n8n runs in
queuemode by default, leveraging Redis for task management and Postgres for data storage. You can dynamically specify the number of n8n workers and task runners during installation, allowing for robust parallel processing of your workflows to handle demanding loads. - Full Control: All of this is hosted by you, giving you full control over your data, operations, and how resources are allocated.
Installation
Running the Install
The recommended way to install is using the provided main installation script.
- Connect to your server via SSH.
- Run the following command:
git clone https://github.com/kossakovsky/n8n-install && cd n8n-install && sudo bash ./scripts/install.sh
This single command automates the entire setup process, including:
- Preparing your system (updates, firewall configuration, and basic security enhancements like brute-force protection).
- Installing Docker and Docker Compose (tools for running applications in isolated environments).
- Generating a configuration file (
.env) with necessary secrets and your domain settings. - Launching all the services.
During the installation, the script will prompt you for:
- Your primary domain name (Required, e.g.,
yourdomain.com). This is the domain for which you've configured the wildcard DNS record. - Your email address (Required, used for service logins like Flowise, Supabase dashboard, Grafana, and for SSL certificate registration with Let's Encrypt).
- An optional OpenAI API key (Not required. If provided, it can be used by Supabase AI features and Crawl4ai. Press Enter to skip).
- Whether you want to import ~300 ready-made n8n community workflows (y/n, Optional. This can take 20-30 minutes, depending on your server and network speed).
- The number of n8n workers you want to run (Required, e.g., 1, 2, 3, 4. This determines how many workflows can be processed in parallel. Each worker automatically gets its own dedicated task runner sidecar for executing Code nodes. Defaults to 1 if not specified).
- A Service Selection Wizard will then appear, allowing you to choose which of the available services (like Flowise, Supabase, Qdrant, Open WebUI, etc.) you want to deploy. Core services (Caddy, Postgres, Redis) will be set up to support your selections.
Upon successful completion, the script will display a summary report. This report contains the access URLs and credentials for the deployed services. Save this information in a safe place!
Setup Instructions
See the Cloudflare Tunnel guide: cloudflare-instructions.md
Pre-installed System Tools in n8n
The custom n8n Docker image (n8n/Dockerfile.n8n) includes the following system-level tools:
ffmpeg: A powerful multimedia framework for converting, recording, and streaming audio and video. Use it via the Execute Command node in n8n workflows for tasks like:- Converting video/audio formats (e.g., MP4 to MP3)
- Extracting audio from video files
- Resizing or compressing media files
- Generating thumbnails from videos
Cleaning up Docker
If you need to free up disk space, you can run the Docker cleanup command. This removes all unused Docker containers, images, and volumes.
make cleanThis can be useful for removing old images and freeing up space, but be aware that it will remove all unused data.
Installation & Updates
| Command | Description |
|---|---|
make install | Full installation |
make update | Update system and services (resets to origin) |
make update-preview | Preview available updates without applying (dry-run) |
make git-pull | Update for forks (merges from upstream/main) |
make clean | Remove unused Docker resources |
Quick Start and Usage
After successful installation, your services are up and running! Here's how to get started:
1. Access Your Services: The installation script provided a summary report with all access URLs and credentials. Please refer to that report. The main services will be available at the following addresses (replace yourdomain.com with your actual domain):
- n8n:
n8n.yourdomain.com(Log in with the email address you provided during installation and the initial password from the summary report. You may be prompted to change this password on first login.) - Appsmith:
appsmith.yourdomain.com(Low-code app builder) - ComfyUI:
comfyui.yourdomain.com(Node-based Stable Diffusion UI) - Databasus:
databasus.yourdomain.com - Dify:
dify.yourdomain.com(AI application development platform with comprehensive LLMOps capabilities) - Docling:
docling.yourdomain.com(Universal document converter with REST API; web UI available at/ui) - Flowise:
flowise.yourdomain.com(Log in with the email address you provided during installation and the initial password from the summary report.) - Grafana:
grafana.yourdomain.com - Langfuse:
langfuse.yourdomain.com - Letta:
letta.yourdomain.com - LibreTranslate:
translate.yourdomain.com - LightRAG:
lightrag.yourdomain.com - Neo4j:
neo4j.yourdomain.com - NocoDB:
nocodb.yourdomain.com - Open WebUI:
webui.yourdomain.com - PaddleOCR:
paddleocr.yourdomain.com - Portainer:
portainer.yourdomain.com(Protected by Caddy basic auth; on first login, complete Portainer admin setup) - Postiz:
postiz.yourdomain.com - Prometheus:
prometheus.yourdomain.com(Typically used as a data source for Grafana) - Qdrant:
qdrant.yourdomain.com - RAGApp:
ragapp.yourdomain.com - RAGFlow:
ragflow.yourdomain.com - SearXNG:
searxng.yourdomain.com - Supabase (Dashboard):
supabase.yourdomain.com - Uptime Kuma:
uptime-kuma.yourdomain.com(Uptime monitoring dashboard) - WAHA:
waha.yourdomain.com(WhatsApp HTTP API; engines: WEBJS, NOWEB, GOWS) - Weaviate:
weaviate.yourdomain.com
AI Templates (Examples from n8n.io)
- AI Agent Chat
- AI chat with any data source (using the n8n workflow tool)
- Chat with OpenAI Assistant (by adding a memory)
- Use an open-source LLM (via HuggingFace)
- Chat with PDF docs using AI (quoting sources)
- AI agent that can scrape webpages
- Tax Code Assistant
- Breakdown Documents into Study Notes with MistralAI and Qdrant
- Financial Documents Assistant using Qdrant and MistralAI
- Recipe Recommendations with Qdrant and Mistral
Optional Internal Utility: Python Runner
- What it is: An internal-only service to run your custom Python code inside the same Docker network as your other services (n8n, Postgres, Qdrant, etc.). No external ports are exposed, and it is not proxied by Caddy.
- How to enable: Select “Python Runner” in the Service Selection Wizard during install/update, or add the profile manually:
COMPOSE_PROFILES=...,python-runner. - Where to put code: Place your Python files in
python-runner/. The default entry point ispython-runner/main.py. - Dependencies: Add them to
python-runner/requirements.txt; they will be installed automatically on container start.
- Explore n8n:
- Log in to your n8n instance. This is your central hub for workflow automation.
- If you chose to import the community workflows during installation, you'll find over 300 examples in your "Workflows" section. These are a great way to learn and get ideas.
- Start building your first workflow! You have access to over 400 integrations and powerful AI tools.
- Utilize Integrated AI Tools:
- Connect n8n with Vector Stores: Use n8n to connect to Qdrant (accessible via its own endpoint if needed, typically
qdrant.yourdomain.com), Supabase, or Weaviate (weaviate.yourdomain.com) to store and retrieve information for your AI tasks like Retrieval Augmented Generation (RAG). - Build with Flowise: Access Flowise at
flowise.yourdomain.comto create AI agents and applications. You can trigger Flowise agents from n8n or vice-versa. - Interact with Open WebUI: Use Open WebUI at
webui.yourdomain.comas a chat interface for your local AI models or n8n agents (e.g., using the n8n_pipe integration if configured). - Configure LLMs: If you wish to use large language models (LLMs) from providers like OpenAI, Anthropic, or locally via Ollama (if installed), you can easily configure credentials and connections within n8n nodes or in services like Flowise and Open WebUI.
4. Check Monitoring (Optional): - Visit Grafana (grafana.yourdomain.com) to see dashboards monitoring your system's performance (data sourced from Prometheus).
Secure Access with Cloudflare Tunnel (Optional)
Cloudflare Tunnel provides zero-trust access to your services without exposing any ports on your server. All traffic is routed through Cloudflare's secure network, providing DDoS protection and hiding your server's IP address.
Diagnostics & Configuration
| Command | Description |
|---|---|
make doctor | Run system diagnostics (checks DNS, SSL, containers, disk, memory) |
make setup-tls | Configure custom TLS certificates for corporate/internal use |
Run make help for the full list of available commands.
Included Community Workflows
Get started quickly with a vast library of pre-built automations (optional import during setup)! This collection includes over 300 workflows covering a wide range of use cases:
🚦 What's inside?
- AI Agents & Chatbots: RAG, LLM, LangChain, Ollama, OpenAI, Claude, Gemini, and more
- Gmail & Outlook: Smart labeling, auto-replies, PDF handling, and email-to-Notion
- HR, E-commerce, IT, Security, Research, and more!
- Notion, Airtable, Google Sheets: Data sync, AI summaries, knowledge bases
- PDF, Image, Audio, Video: Extraction, summarization, captioning, speech-to-text
- Slack, Mattermost: Ticketing, feedback analysis, notifications
- Social Media: LinkedIn, Pinterest, Instagram, Twitter/X, YouTube, TikTok automations
- Telegram, WhatsApp, Discord: Bots, notifications, voice, and image workflows
- WordPress, WooCommerce: AI content, chatbots, auto-tagging
Troubleshooting
Here are solutions to common issues you might encounter:
n8n-install 是一个专为开发者设计的私有化部署 AI 自动化平台。它允许你在自己的服务器上构建一个强大的 AI Homelab，通过集成多种开源工具，实现从本地 LLM 运行到复杂工作流自动化的全栈能力，确保数据隐私与掌控力。
本项目集成了多种顶尖 AI 工具：支持通过 Ollama 在本地运行 LLM，并利用 Open WebUI 提供类似 ChatGPT 的交互体验；通过 n8n 实现拥有 400+ 集成能力的自动化工作流；同时支持 Flowise、Dify、LangChain 以及 Qdrant、Weaviate 等向量数据库，构建强大的 AI Agents 与 RAG 应用。所有服务均可通过交互式脚本一键部署。
在开始安装之前，请确保满足以下前提条件：1. 拥有一个已注册的域名（例如 `yourdomain.com`）；2. 完成 DNS 配置，将域名的 A 记录指向你服务器的公网 IP 地址，以便 Caddy 进行反向代理和 SSL 证书管理。
推荐使用官方提供的自动化安装脚本进行部署。首先通过 SSH 连接到你的服务器，然后执行以下命令：`git clone https://github.com/kossakovsky/n8n-install && cd n8n-install && sudo bash ./scripts/install.sh`。该脚本会自动完成系统更新、防火墙配置、基础安全设置以及 Docker 容器的编排，实现全自动化的环境搭建。
安装完成后，脚本会生成一份包含所有服务访问 URL 和凭据的总结报告。请务必保存该报告。你可以通过配置好的子域名（如 `n8n.yourdomain.com`）访问各个服务。对于 AI 自动化需求，你可以直接参考 n8n 官方提供的 AI Agent 或 OpenAI Assistant 工作流模板进行快速上手。
本项目提供了一个可选的内部工具：Python Runner。它是一个运行在 Docker 内部网络的服务，允许你在与 n8n、Postgres、Qdrant 等服务相同的网络环境下执行自定义 Python 代码。该服务不会暴露外部端口，也不会通过 Caddy 进行代理，确保了高度的安全性。你可以在安装或更新时的 Service Selection Wizard 中手动开启此功能。
本项目内置了丰富的社区工作流库，包含超过 300 个预构建的自动化方案。这些工作流涵盖了 AI Agents、Chatbots（支持 RAG、LangChain、Ollama、OpenAI、Claude、Gemini 等）、Gmail 集成以及各类复杂的业务逻辑，支持在安装过程中选择性导入，帮助你快速构建智能化应用。
如果在安装或使用过程中遇到问题，请参考本项目提供的 Troubleshooting 章节。常见的维护工作包括通过交互式向导更新服务或通过 Cloudflare Tunnel 实现零信任安全访问，以隐藏服务器 IP 并获得 DDoS 防护。
优质的AI自动化部署方案，集成度高、组件丰富。活跃维护确保兼容性。适合寻求私有化AI工作流的用户。
- 需要 n8n-install 解决具体问题的开发者与运营人员
- 先在测试环境跑通最小用例，再接入生产数据
- API key 直接提交到 git 仓库（请用 .env 并加入 .gitignore）
- 云端托管：可放在 Vercel / Railway / Fly.io 等 PaaS 平台
⚡ 核心功能
- 开源免费，支持本地部署，数据完全自主可控
- 活跃的 GitHub 开源社区，持续迭代更新
- 提供详细文档和使用示例，新手友好
- 支持自定义配置，灵活适配不同使用环境
- 可作为基础组件集成进现有技术栈或进行二次开发
- 需要 n8n-install 解决具体问题的开发者与运营人员
- 先在测试环境跑通最小用例，再接入生产数据
- API key 直接提交到 git 仓库（请用 .env 并加入 .gitignore）
👥 适合人群
🎯 使用场景
- 本地部署运行，保护数据隐私，满足合规要求
- 自定义集成到现有系统，扩展技术栈能力
- 作为开源基础组件进行商业化二次开发
⚖️ 优点与不足
- +Apache-2.0 协议，可免费商用
- +完全开源免费，无授权费用
- +本地部署，数据完全自主可控
- +开发者社区支持，遇问题可查可问
- −安装和初始配置可能需要一定技术基础
- −功能完整性通常不如成熟商业产品
- −技术支持主要依赖开源社区，响应速度不稳定
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。
🔗 相关工具推荐
❓ 常见问题 FAQ
经综合评估，n8n AI工作流自动化 在AI工具赛道中表现稳健，质量优秀。如果你已有明确的使用需求，可以直接上手体验；如果还在评估阶段，建议对比同类工具后再做决策。
| 原始名称 | n8n-install |
| 原始描述 | 开源n8n工作流：🚀 Self-hosted AI automation platform. Deploy n8n, Ollama, Flowise, RAG, Supabas。⭐856 · Shell |
| Topics | 工作流自动化本地部署AI智能体开源平台 |
| GitHub | https://github.com/kossakovsky/n8n-install |
| License | Apache-2.0 |
| 语言 | Shell |
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。