能力标签
自托管AI
🔄
n8n工作流

自托管AI

基于 Shell · 可视化低代码工作流,300+ 服务连接器
英文名:selfhost-ai
⭐ 896 Stars 🍴 228 Forks 💻 Shell 📄 Apache-2.0 🏷 AI 8.2分
8.2AI 综合评分
n8naiautomationchatgpt-alternative
✦ AI Skill Hub 推荐

自托管AI 是 AI Skill Hub 本期精选n8n工作流之一。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

自托管AI 是基于 n8n 平台的可视化工作流模板。n8n 是目前最受开发者欢迎的开源工作流自动化工具之一,支持自托管部署,同时提供云端版本,通过拖拽式界面连接数百种应用和服务,无需编写代码即可构建复杂的自动化流程。

自托管AI 工作流模板封装了特定场景下的最佳实践配置。导入后你无需从零开始搭建——只需根据向导配置必要的 API Key 和账号信息,激活工作流后即可立即运行。这类预制模板特别适合希望快速验证自动化方案可行性的用户,避免在节点连接和逻辑配置上花费大量时间。

n8n 的核心优势在于数据主权:自托管版本的所有数据(包括 Credentials 和执行记录)完全存储在你自己的服务器上,适合对数据隐私有要求的企业和个人用户。AI Skill Hub 推荐通过 Docker 部署 n8n 自托管实例,并将 自托管AI 作为工作流库的起始模板。

📋 工具概览

自托管AI 是一款基于 Shell 开发的开源工具,专注于 n8n、ai、automation 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。

GitHub Stars
⭐ 896
开发语言
Shell
支持平台
macOS / Linux
维护状态
正常维护,社区驱动
开源协议
Apache-2.0
AI 综合评分
8.2 分
工具类型
n8n工作流
Forks
228

📖 中文文档

以下内容由 AI Skill Hub 根据项目信息自动整理,如需查看完整原始文档请访问底部「原始来源」。

自托管AI 是一款基于 Shell 开发的开源工具,专注于 n8n、ai、automation 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。

📌 核心特色
  • 基于 n8n 平台的可视化低代码工作流
  • 支持拖拽式节点编排,将自动化门槛降至最低
  • 内置 300+ 第三方服务连接器,覆盖主流工具生态
  • 支持 Webhook、定时触发、事件驱动等多种启动方式
  • 可导出 JSON 文件,方便团队共享和版本管理
🎯 主要使用场景
  • 定时采集外部数据并自动生成分析报告推送
  • 实现多系统间的数据同步和状态更新通知
  • 构建自动化运维告警和响应处置流程
以下安装命令基于项目开发语言和类型自动生成,实际以官方 README 为准。
安装命令
# 克隆仓库
git clone https://github.com/kossakovsky/selfhost-ai
cd selfhost-ai

# 查看安装说明
cat README.md

# 按 README 完成环境依赖安装后即可使用
📋 安装步骤说明
  1. 访问 GitHub 仓库,下载工作流 JSON 文件
  2. 登录 n8n 工作台
  3. 点击右上角「导入工作流」按钮
  4. 上传或粘贴 JSON 内容
  5. 根据提示配置必要的 API Key、账号等参数
  6. 激活工作流后即可正常运行
以下用法示例由 AI Skill Hub 整理,涵盖最常见的使用场景。
常用命令 / 代码示例
# 查看帮助
selfhost-ai --help

# 基本运行
selfhost-ai [options] <input>

# 详细使用说明请查阅文档
# https://github.com/kossakovsky/selfhost-ai
以下配置示例基于典型使用场景生成,具体参数请参照官方文档调整。
配置示例
// n8n 工作流配置步骤
// 1. 在 n8n 中点击 "Import Workflow"
// 2. 粘贴 JSON 文件内容或上传文件
// 3. 配置必要的 Credentials:
//    - Settings → Credentials → New
//    - 选择对应服务类型填写 API Key
// 4. 激活工作流 (Toggle ON)
// 5. 通过 Webhook 或定时触发器运行
📑 README 深度解析 真实文档 完整度 78/100 查看 GitHub 原文 →
以下内容由系统直接从 GitHub README 解析整理,保留代码块、表格与列表结构。

Selfhost AI — Self-Hosted AI Automation Platform

GitHub stars License Docker Ubuntu n8n

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, with an n8n dashboard that tracks workflow executions (outcomes, per-workflow volume, time since last success) and ready-made alert rules for failed or stalled workflows
  • 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.

n8n-MCP - A Model Context Protocol server that gives AI coding assistants (Claude Code, Cursor, Windsurf, VS Code Copilot) indexed access to every n8n node's documentation, property schemas and thousands of workflow templates - and, once you add an n8n API key, the ability to create and update workflows in your n8n instance straight from your IDE.

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.

InvokeAI - A professional creative engine for Stable Diffusion with a polished web UI, node-based workflow editor, inpainting/outpainting, and a REST API. Choose NVIDIA, AMD, or CPU hardware during install; models and outputs are stored in ./invokeai on the host.

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. Optionally expose its API externally through Caddy under OLLAMA_HOSTNAME, protected by a generated Bearer token. On multi-GPU hosts you can run several instances (OLLAMA_INSTANCE_COUNT) to dedicate a GPU per model.

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 queue mode 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.

  1. Connect to your server via SSH.
  2. Run the following command:
    git clone https://github.com/kossakovsky/selfhost-ai && cd selfhost-ai && 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:

  1. Your primary domain name (Required, e.g., yourdomain.com). This is the domain for which you've configured the wildcard DNS record.
  2. Your email address (Required, used for service logins like Flowise, Supabase dashboard, Grafana, and for SSL certificate registration with Let's Encrypt).
  3. An optional OpenAI API key (Not required. If provided, it can be used by Supabase AI features and Crawl4ai. Press Enter to skip).
  4. 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).
  5. 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).
  6. 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 clean

This can be useful for removing old images and freeing up space, but be aware that it will remove all unused data.

Installation & Updates

CommandDescription
make installFull installation
make updateUpdate system and services (resets to origin)
make update-previewPreview available updates without applying (dry-run)
make git-pullUpdate for forks (merges from upstream/main)
make cleanRemove 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.)
  • n8n-MCP: n8n-mcp.yourdomain.com (MCP endpoint at /mcp. Every request must send Authorization: Bearer <N8N_MCP_AUTH_TOKEN> - the token is on the Welcome Page - so a browser visit returns 401 by design. Connect with npx -y mcp-remote https://n8n-mcp.yourdomain.com/mcp --header "Authorization: Bearer <token>", or keep the token out of your shell history and process list with --header-file <path> pointing at a file containing Authorization: Bearer <token>. Starts in documentation-only mode; to also manage workflows, create an API key in n8n under Settings -> n8n API, set N8N_API_KEY in .env and run make restart. Note that outside n8n Enterprise an API key has full account access.)
  • 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
  • InvokeAI: invokeai.yourdomain.com (Stable Diffusion studio; download a model via the Model Manager on first visit)
  • Langfuse: langfuse.yourdomain.com
  • Letta: letta.yourdomain.com
  • LibreTranslate: translate.yourdomain.com
  • LightRAG: lightrag.yourdomain.com
  • Neo4j: neo4j.yourdomain.com
  • NocoDB: nocodb.yourdomain.com
  • Ollama: ollama.yourdomain.com (Optional local-LLM API; every request must send Authorization: Bearer <OLLAMA_CADDY_API_TOKEN>. A leaked token grants full control — including pulling/deleting models — not just inference.)
  • 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)

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 is python-runner/main.py.
  • Dependencies: Add them to python-runner/requirements.txt; they will be installed automatically on container start.
  1. 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.
  1. 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.com to 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.com as 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). - The n8n Monitoring dashboard includes a Workflow Executions section, and four alert rules are pre-provisioned: n8n workflow failed (non-manual executions only, so testing in the editor does not page), n8n workflow stalled (an active workflow with no success for 24 hours), n8n workflow has no recorded success (active for 24 hours without ever succeeding since monitoring started) and n8n metrics target down. The 24-hour thresholds are global, so workflows that run less than daily will alert; tune them in grafana/provisioning/alerting/n8n-workflows.yml. Alerts follow Grafana's default notification policy, whose built-in email contact point delivers nothing without SMTP: create a contact point (Telegram, Slack, Email with GF_SMTP_*, ...) under Alerting → Contact points and select it in Alerting → Notification policies.

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.

Custom Configuration That Survives Updates

make update resets tracked files (like Caddyfile and docker-compose.yml) to the latest version, so never edit them directly. Instead, use the dedicated extension points — the files you create there are gitignored, so they are preserved across updates:

  • Custom Caddy entries (e.g. reverse proxy for a service running outside this stack): drop a site-*.conf file into caddy-addon/. It is imported automatically by the main Caddyfile. See caddy-addon/README.md for examples.
  • Docker Compose overrides (change any service property): create a docker-compose.override.yml in the project root. It is picked up automatically with the highest precedence.
  • Settings: values you set in .env are preserved by the updater (except GOST_NO_PROXY, which is regenerated so it always covers newly added services).

Diagnostics & Configuration

CommandDescription
make doctorRun system diagnostics (checks DNS, SSL, containers, disk, memory)
make setup-tlsConfigure 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:

🇨🇳 中文文档镜像 AI 翻译 2026-07-10
英文原文章节由系统翻译为中文摘要,便于快速理解。完整原文见上方 "📑 README 深度解析"。
📌 简介

selfhost-ai 是一个专为个人和企业打造的私有化 AI 自动化平台。它允许用户通过 Docker 环境在本地服务器上部署完整的 AI 工作流,实现从大语言模型(LLM)运行到复杂任务自动化的全栈闭环,确保数据隐私与掌控力。

⚡ 功能介绍

本项目集成了多种强大的开源工具:支持通过 Ollama 在本地运行 LLM,打造私有的 AI Homelab;提供 Open WebUI 作为类似 ChatGPT 的交互界面��利用 n8n 实现拥有 400+ 集成能力的自动化工作流;并集成 Flowise、Dify、LangChain 及 Qdrant、Weaviate 等向量数据库,构建强大的 AI Agents 与 RAG 系统。

📋 环境依赖

在开始安装之前,请确保您已准备好以下条件:1. 一个已注册的域名(例如 `yourdomain.com`);2. 完成 DNS 配置,将域名的 A 记录指向您服务器的公网 IP 地址。请务必在运行安装脚本前完成 DNS 解析,以确保后续服务的正常访问。

🛠 安装步骤(Docker/pip/源码)

推荐使用官方提供的自动化安装脚本进行一键部署。您只需通过 SSH 连接到服务器,执行 `git clone` 获取源码,并运行 `sudo bash ./scripts/install.sh` 即可。该脚本会自动完成系统更新、防火墙配置、基础安全设置以及所有服务的 Docker 容器化部署,通过交互式向导引导您选择需要安装的组件。

🚀 使用教程

安装完成后,系统会生成一份包含所有服务访问 URL 和凭据的汇总报告。您可以根据报告中的地址访问 n8n 等服务。对于需要 AI 能力的工作流,您可以直接参考 n8n 提供的模板,例如 AI Agent Chat 或结合 HuggingFace 使用开源 LLM 的工作流,快速构建属于您的智能助手。

⚙️ 配置说明(含 MCP / env)

本项目提供了一个可选的内部工具 Python Runner。它作为一个内部服务运行在 Docker 网络中,与 n8n、Postgres、Qdrant 等服务处于同一网络环境,且不会暴露外部端口或通过 Caddy 进行代理。您可以在安装或更新时的 Service Selection Wizard 中勾选启用,或通过手动添加 Profile 进行配置。

🔄 工作流/模块

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、RAG、LangChain 以及对 Ollama、OpenAI、Claude、Gemini 等主流模型的调用,甚至包括 Gmail 等第三方应用的集成,帮助您实现开箱即用的自动化体验。

❓ FAQ 摘要

如果在安装或使用过程中遇到问题,可以参考本项目提供的 Troubleshooting 章节。常见问题通常涉及网络连接、权限设置或服务状态检查,通过查阅 FAQ 可以快速定位并解决大部分部署中的异常情况。

🎯 aiskill88 AI 点评 A 级 2026-07-10

高质量的开源AI自动化平台,支持多种工具集成

📚 实用指南(长尾问题)
适合谁
  • 需要让 Claude / Cursor 操作本地工具的 AI 工程师
  • 构建多智能体协作系统的 Agent 开发者
  • 构建企业知识库 / RAG 检索应用的团队
  • 需要从图片、PDF 提取文字的文档自动化场景
  • 跨境业务、多语言内容运营团队
  • 做语音类 AI 产品的开发者
最佳实践
  • 配置 MCP 服务器时建议使用 stdio 传输 + JSON-RPC,避免暴露公网
  • 生产部署优先使用 Docker Compose 隔离依赖,并挂载 volume 持久化数据
  • 本地部署优先选 GGUF 量化模型,节省显存并保持响应速度
  • 分块大小建议 256-512 tokens,向量库优选 pgvector 或 Qdrant
  • Agent 任务先做 dry-run 验证工具调用链,再开启自主执行
常见错误
  • API key 直接提交到 git 仓库(请用 .env 并加入 .gitignore)
  • MCP 配置路径拼错或权限不足,重启 Claude Desktop 才生效
  • 容器内无法访问宿主机 localhost — 使用 host.docker.internal
  • embedding 模型与查询模型不一致导致检索失效
  • 显存不足直接 OOM — 优先降低 context 或换更小的量化模型
部署方案
  • Docker:selfhost-ai 提供官方镜像,docker compose up 一键启动
  • CLI:直接 npm install -g / pip install,命令行调用
  • 本地部署:CPU 8GB 起,GPU 推荐 16GB+ 显存
  • 云端托管:可放在 Vercel / Railway / Fly.io 等 PaaS 平台
相关搜索
selfhost-ai 中文教程selfhost-ai 安装报错怎么办selfhost-ai MCP 配置selfhost-ai Docker 部署selfhost-ai Agent 工作流selfhost-ai 与同类工具对比selfhost-ai 最佳实践selfhost-ai 适合谁用

⚡ 核心功能

👥 适合谁
  • 需要让 Claude / Cursor 操作本地工具的 AI 工程师
  • 构建多智能体协作系统的 Agent 开发者
  • 构建企业知识库 / RAG 检索应用的团队
  • 需要从图片、PDF 提取文字的文档自动化场景
⭐ 最佳实践
  • 配置 MCP 服务器时建议使用 stdio 传输 + JSON-RPC,避免暴露公网
  • 生产部署优先使用 Docker Compose 隔离依赖,并挂载 volume 持久化数据
  • 本地部署优先选 GGUF 量化模型,节省显存并保持响应速度
  • 分块大小建议 256-512 tokens,向量库优选 pgvector 或 Qdrant
⚠️ 常见错误
  • API key 直接提交到 git 仓库(请用 .env 并加入 .gitignore)
  • MCP 配置路径拼错或权限不足,重启 Claude Desktop 才生效
  • 容器内无法访问宿主机 localhost — 使用 host.docker.internal
  • embedding 模型与查询模型不一致导致检索失效

👥 适合人群

n8n 平台用户自动化爱好者运维工程师对低代码开发感兴趣的技术人员

🎯 使用场景

  • 定时采集外部数据并自动生成分析报告推送
  • 实现多系统间的数据同步和状态更新通知
  • 构建自动化运维告警和响应处置流程

⚖️ 优点与不足

✅ 优点
  • +Apache-2.0 协议,可免费商用
  • +开源自托管,数据安全可控
  • +节点丰富,第三方扩展便捷
  • +社区活跃,问题易查易解
⚠️ 不足
  • 自托管需自行维护服务器和基础设施
  • 学习曲线相对较陡,初学需耐心
  • 大规模并发场景对资源要求较高
⚠️ 使用须知

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。

📄 License 说明

✅ 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

📚 相关教程推荐
📰 相关 AI 新闻
🍿 AI 圈相关吃瓜
🗺️ 相关解决方案
🧩 你可能还需要
基于当前 Skill 的能力图谱,自动补全的工具组合

❓ 常见问题 FAQ

selfhost-ai 是一款Shell开发的AI辅助工具。开源n8n工作流:🚀 Self-hosted AI automation platform. Deploy n8n, Ollama, Flowise, RAG, Supabas。⭐896 · Shell 主要应用场景包括:自动化工作流和AI代理。
💡 AI Skill Hub 点评

经综合评估,自托管AI 在n8n工作流赛道中表现稳健,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。

⬇️ 获取与下载
⬇ 下载源码 ZIP

✅ Apache-2.0 协议 · 可免费商用 · 直接从 aiskill88 服务器下载,无需跳转 GitHub

📚 深入学习 自托管AI
查看分步骤安装教程和完整使用指南,快速上手这款工具
🌐 原始信息
原始名称 selfhost-ai
原始描述 开源n8n工作流:🚀 Self-hosted AI automation platform. Deploy n8n, Ollama, Flowise, RAG, Supabas。⭐896 · Shell
Topics n8naiautomationchatgpt-alternative
GitHub https://github.com/kossakovsky/selfhost-ai
License Apache-2.0
语言 Shell
🔗 原始来源
🐙 GitHub 仓库  https://github.com/kossakovsky/selfhost-ai 🌐 官方网站  https://github.com/kossakovsky/selfhost-ai#readme

收录时间:2026-07-10 · 更新时间:2026-07-11 · License:Apache-2.0 · AI Skill Hub 不对第三方内容的准确性作法律背书。

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