Open WebUI

Open WebUI Self-Hosted, Deploy in One Click

Self-host Open WebUI for a private, feature-rich interface to local and cloud LLMs. Automatio handles VPS setup and HTTPS for secure, unmetered AI chat.

self-hosted open webuiopen webui vpslocal llm interfaceollama webuiprivate ai chatdocker open webui+1 more
Open WebUI logo

Open WebUI

AI & LLM Tools

Open WebUI is a free and open source chatgpt alternative. Open WebUI is an extensible, feature-rich, and user-friendly self-hosted WebUI designed to operate entirely offline. It supports various LLM runners, including Ollama and OpenAI-compatible APIs. The template include ollama and webui services.

chat

What you get when you deploy Open WebUI

The server we rent for it, what it costs, and what the installer will ask you.

Server
CX23 · 2 vCPU · 4 GB RAM
From
$9/month
Setup
No configuration required

Included with every deployment

  • Dedicated server, one app per machine
  • HTTPS certificate issued automatically
  • Free subdomain, custom domain optional
  • Restart, resize, snapshot and restore

The project

Everything this page links to outside Automatio.

Deploy Open WebUI in one click

On your own server, with your own data. No terminal, no Docker commands, no certificate setup.

  1. 1

    Pick a size

    Start on the smallest server that fits the app. Resize later without reinstalling.

  2. 2

    Press deploy

    We rent the server, install the app with Docker, and point a subdomain at it.

  3. 3

    Watch it come up

    Provisioning runs unattended and takes a few minutes. When the HTTPS certificate lands, the app is live and your login details are on the deployment page.

Server size

Billed monthly with your Automatio subscription. Destroy the server any time and the charge stops.

Key Capabilities

Explore what Automatio can do for this use case

Advanced RAG Support

The interface includes native Retrieval-Augmented Generation to integrate documents directly into AI conversations. The system handles vectorization and retrieval locally, allowing users to query private files safely without data leaving the dedicated server.

  • 1PDF and Markdown support
  • 2Web link content extraction
  • 3Local vector database storage
  • 4Configurable top-k retrieval
  • 5Citation and source highlighting

Key Capabilities

  • Advanced RAG Support

    The interface includes native Retrieval-Augmented Generation to integrate documents directly into AI conversations. The system handles vectorization and retrieval locally, allowing users to query private files safely without data leaving the dedicated server.

    1. PDF and Markdown support
    2. Web link content extraction
    3. Local vector database storage
    4. Configurable top-k retrieval
    5. Citation and source highlighting
  • Multi-Model Management

    Users can connect to multiple backends simultaneously, including Ollama and OpenAI-compatible APIs. This allows for switching models mid-conversation or comparing responses from two different models in a side-by-side view.

    1. Ollama native integration
    2. OpenAI API compatibility
    3. Dual-model comparison view
    4. Dynamic model switching
    5. Custom system prompt support
  • Extensible Plugin System

    The platform supports community-built Tools and Valves that enable the AI to interact with external data. This includes web searching, image generation via Stable Diffusion, and custom Python functions for specialized workflows.

    1. Community Skill Store access
    2. Python-based tool creation
    3. Web search integration
    4. DALL-E and Stable Diffusion support
    5. Granular API access control
  • Granular User Controls

    Host a collaborative AI environment for teams with robust admin features. Administrators can set specific permissions, model access limits, and monitor usage across all registered accounts from a central dashboard.

    1. Admin monitoring dashboard
    2. RBAC permission system
    3. Usage statistics and logging
    4. Shared model access configuration
    5. Self-registration toggle

Why self-host Open WebUI

What to know first

Data Sovereignty: Keep private prompts and sensitive business data off third-party training datasets by running the entire stack on dedicated hardware.
Hardware Demands: Running large models requires significant memory and CPU power. Projects like ClickHouse or larger 70B models may struggle on the $9 entry-level VPS tier.
Bypass Subscriptions: Eliminate monthly per-seat fees by utilizing local open-weights models like Llama 3 on a VPS instance without usage caps.
Cold Start Latency: Models often take several seconds to load into memory during the first interaction after a period of inactivity, causing initial response delays.
Custom Configuration: Install specific local models, specialized system prompts, or community plugins that are not available in standard SaaS AI interfaces.
Disk Space Management: Downloading multiple LLM versions can fill a drive quickly. Users must actively manage disk space to avoid server performance issues.
Local Network Access: Integrate AI tools directly with other services on your private network without exposing internal infrastructure to the public internet.

Managed, DIY, or One-Click?

The three realistic ways to run {name}, compared honestly.

Privacy

Managed SaaSProvider can access/train on data
DIY on a VPSFully private on your hardware
Automatio one-clickFully private on a dedicated VPS

Setup Speed

Managed SaaSInstant
DIY on a VPS1 to 2 hours manual configuration
Automatio one-clickA few minutes via automation

Maintenance

Managed SaaSZero
DIY on a VPSManual updates and patching
Automatio one-clickManaged server infrastructure

Model Choice

Managed SaaSFixed (e.g. GPT-4 only)
DIY on a VPSUnlimited GGUF/Ollama models
Automatio one-clickUnlimited GGUF/Ollama models

Who this is for

People who actually run Open WebUI on their own server, and what changes when they do.

a solo founder shipping nights and weekends

High API costs for testing RAG and agentic workflows.

Testing without token limits or per-request billing using local models and the native API endpoint.

  • Debugging complex system prompts
  • Testing local document retrieval
  • Benchmarking model responses

a privacy-conscious researcher

Confidential data cannot be uploaded to commercial cloud AI providers.

Total isolation of research materials and findings on a private server with local vector storage.

  • Summarizing proprietary datasets
  • Drafting confidential reports
  • Searching private document archives

a homelab tinkerer

Frustration with fragmented AI tools and lack of a unified UI.

A single professional interface for all local and cloud AI experiments with full administrative control.

  • Sharing AI access with family members
  • Installing community-built tools
  • Monitoring backend performance

About This App

What this app does and where it fits.

Open WebUI is a sophisticated front-end for Large Language Models (LLMs) that replicates the experience of commercial platforms like ChatGPT while remaining entirely open-source. It functions as a bridge between users and AI engines, supporting both local execution via Ollama and remote execution through OpenAI-compatible APIs. The platform is built on the MIT license and has matured into a comprehensive system for managing AI workflows, document retrieval, and multi-user collaboration.

The Architecture of Sovereign AI

The application serves as a unified interface for disparate AI backends. By utilizing the OpenAI API specification, it allows users to combine providers within a single interface. You can use local models for privacy-sensitive tasks like document summarization and switch to high-performance cloud models for complex reasoning. This flexibility prevents platform lock-in and allows for cost optimization across different use cases. For small teams, it provides features typically reserved for enterprise plans, such as Role-Based Access Control (RBAC) and detailed usage logging.

Retrieval Augmented Generation (RAG)

One of the most powerful features of Open WebUI is its native RAG implementation. Users can upload various document types, including PDFs and text files, which the application indexes into a local vector database. During a chat, the system automatically retrieves relevant sections from these documents to ground the AI's responses in factual data. This turns the chatbot into a specialized research assistant capable of searching through thousands of pages of private documentation without exposing those files to a third-party cloud provider.

Extensibility via Tools and Valves

The platform includes a robust plugin architecture known as Tools and Valves. These extensions, often written in Python, allow the AI to interact with the outside world. Tools enable the LLM to perform actions like searching the web, checking the weather, or generating images using Stable Diffusion. Valves allow for the modification of model behavior, such as filtering output or adding custom authentication layers. The community-driven nature of these plugins means the interface is constantly evolving to support new AI capabilities and integrations.

About This App

Community Feedback

See what the community thinks about Open WebUI

Proprietary services are genuinely unreliable due to opaque usage limits and mystery session blocks. Self-hosting is a strategic move for businesses that require tools they can count on during deadlines.
onimir3989
reddit
Open WebUI agents can manage it... everyday people to benefit from self-hosted open source stacks without learning dev ops.
robogame_dev
reddit
If you're running OpenWebUI on your server, this update brings it to life in ways the PWA just can't match.
cogwheel0
reddit
I moved my entire team to Open WebUI last month. The ability to switch between local Llama and GPT-4 in one thread is the killer feature.
@dev_ai_maker
twitter
The RAG performance is surprisingly good. I fed it 500 pages of technical docs and it answers specific questions with zero hallucination.
homelab_enthusiast
reddit
It's the most polished UI in the open source AI space. It actually feels like a finished product rather than a developer tool.
tech_lead_2024
hackernews

Related Videos

Watch tutorials, reviews, and discussions about Open WebUI

It's a very pleasant interface to interact with the model and deal with workflows around it. So you can add a rag type of workflow as well.

Behind the scenes open web UI will make sure that the files get indexed and there are embeddings created out of them.

The API that open web UI offers is a bit easier to enable... you can now chat with an LLM right here from my own app.

More than just prompts

Supercharge your workflow with AI Automation

Automatio combines the power of AI agents, web automation, and smart integrations to help you accomplish more in less time.

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Pro Tips

Expert tips to help you get the most out of Open WebUI and achieve better results.

Select Appropriate RAM

Local models like Llama 3 require dedicated RAM beyond the UI. Choose a CX33 or higher if you plan to run 7B+ parameter models locally to avoid severe lag.

Use Selective RAG

Limit RAG searches to specific document tags to improve retrieval speed and prevent the AI from getting confused by irrelevant context.

Enable API Keys First

To connect external tools or use the Open WebUI API, you must generate and save an API key in the admin settings panel before the endpoints become active.

Testimonials

What Our Users Say

Join thousands of satisfied users who have transformed their workflow

Jonathan Kogan

Jonathan Kogan

Co-Founder/CEO, rpatools.io

Automatio is one of the most used for RPA Tools both internally and externally. It saves us countless hours of work and we realized this could do the same for other startups and so we choose Automatio for most of our automation needs.

Mohammed Ibrahim

Mohammed Ibrahim

CEO, qannas.pro

I have used many tools over the past 5 years, Automatio is the Jack of All trades.. !! it could be your scraping bot in the morning and then it becomes your VA by the noon and in the evening it does your automations.. its amazing!

Ben Bressington

Ben Bressington

CTO, AiChatSolutions

Automatio is fantastic and simple to use to extract data from any website. This allowed me to replace a developer and do tasks myself as they only take a few minutes to setup and forget about it. Automatio is a game changer!

Sarah Chen

Sarah Chen

Head of Growth, ScaleUp Labs

We've tried dozens of automation tools, but Automatio stands out for its flexibility and ease of use. Our team productivity increased by 40% within the first month of adoption.

David Park

David Park

Founder, DataDriven.io

The AI-powered features in Automatio are incredible. It understands context and adapts to changes in websites automatically. No more broken scrapers!

Emily Rodriguez

Emily Rodriguez

Marketing Director, GrowthMetrics

Automatio transformed our lead generation process. What used to take our team days now happens automatically in minutes. The ROI is incredible.

Jonathan Kogan

Jonathan Kogan

Co-Founder/CEO, rpatools.io

Automatio is one of the most used for RPA Tools both internally and externally. It saves us countless hours of work and we realized this could do the same for other startups and so we choose Automatio for most of our automation needs.

Mohammed Ibrahim

Mohammed Ibrahim

CEO, qannas.pro

I have used many tools over the past 5 years, Automatio is the Jack of All trades.. !! it could be your scraping bot in the morning and then it becomes your VA by the noon and in the evening it does your automations.. its amazing!

Ben Bressington

Ben Bressington

CTO, AiChatSolutions

Automatio is fantastic and simple to use to extract data from any website. This allowed me to replace a developer and do tasks myself as they only take a few minutes to setup and forget about it. Automatio is a game changer!

Sarah Chen

Sarah Chen

Head of Growth, ScaleUp Labs

We've tried dozens of automation tools, but Automatio stands out for its flexibility and ease of use. Our team productivity increased by 40% within the first month of adoption.

David Park

David Park

Founder, DataDriven.io

The AI-powered features in Automatio are incredible. It understands context and adapts to changes in websites automatically. No more broken scrapers!

Emily Rodriguez

Emily Rodriguez

Marketing Director, GrowthMetrics

Automatio transformed our lead generation process. What used to take our team days now happens automatically in minutes. The ROI is incredible.

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Frequently Asked Questions

Find answers to common questions about Open WebUI