Flowise

Self-Host Flowise: One-Click Deploy on Your Own VPS

Build AI agents and RAG pipelines with Flowise. Automatio deploys it to your dedicated server with HTTPS in one click for data privacy and no seat fees.

self-hosted flowiseflowise aiai agent builderlow-code llmopen source ragdocker flowise+1 more
Flowise logo

Flowise

AI & LLM Tools

Flowise is an open-source UI visual tool to build and run LLM-powered applications.

AILLMworkflowautomation

What you get when you deploy Flowise

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 Flowise 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

Visual workflow builder

Create complex logic using a drag and drop canvas to orchestrate multiple models, memory buffers, and tools. This interface allows you to design sophisticated reasoning chains without writing heavy Python code.

  • 1Interactive node-based canvas
  • 2Logic integration via LangChain
  • 3Custom JavaScript logic nodes
  • 4Variable and conditional path management
  • 5Real-time chat preview window

Key Capabilities

  • Visual workflow builder

    Create complex logic using a drag and drop canvas to orchestrate multiple models, memory buffers, and tools. This interface allows you to design sophisticated reasoning chains without writing heavy Python code.

    1. Interactive node-based canvas
    2. Logic integration via LangChain
    3. Custom JavaScript logic nodes
    4. Variable and conditional path management
    5. Real-time chat preview window
  • Native RAG pipelines

    Construct retrieval-augmented generation flows to let AI agents interact with your private documentation. The platform handles document ingestion, chunking, and vectorization natively within the workflow.

    1. Support for 100+ document connectors
    2. Multiple vector store integrations
    3. Recursive character text splitting
    4. Metadata filtering and query transformation
    5. Hybrid search support
  • Multi-agent orchestration

    Coordinate specialized AI agents to solve multi-step problems through defined roles and supervisory logic. You can define worker patterns where agents hand off tasks to one another based on specific triggers.

    1. Role-based agent definitions
    2. Supervisor and worker architectures
    3. Parallel and sequential execution
    4. Human-in-the-loop review steps
    5. Shared state management
  • API and widget deployment

    Transform your visual flows into production-ready endpoints or web-based chat interfaces. This enables you to integrate your agents into existing applications or internal tools with minimal effort.

    1. Embeddable HTML/JS chat widget
    2. Full REST API access for flows
    3. Support for streaming responses
    4. Feedback collection hooks
    5. Custom styling and white-labeling

Why self-host Flowise

What to know first

Data residency: Keep sensitive documents and customer chat logs on your own dedicated server to satisfy strict compliance and privacy requirements.
Memory intensity: Flowise runs on Node.js and requires at least 4GB of RAM to handle complex RAG pipelines or multi-agent flows without crashing.
Secret management: Maintain full control over your OpenAI, Anthropic, or Pinecone API keys by storing them in your own environment variables rather than a shared cloud.
Security patching: You are responsible for initiating version updates to protect your instance against remote code execution vulnerabilities in third-party nodes.
Unrestricted tool access: Enable advanced features like custom Python execution or local shell nodes that are often disabled on SaaS platforms due to security risks.
Storage monitoring: As you ingest more documents for RAG, you must monitor your server's disk space to prevent vector database growth from filling the partition.
Local model support: Connect directly to inference engines like Ollama running on your private network for a completely offline and free-to-run AI stack.
Flat monthly pricing: Avoid per-user or per-workflow costs by running everything on a fixed-price VPS, regardless of how many agents you deploy.

Managed, DIY, or One-Click?

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

Setup speed

Managed SaaSInstant
DIY on a VPS2-3 hours
Automatio one-clickA few minutes

Data control

Managed SaaSShared Cloud
DIY on a VPSFull Ownership
Automatio one-clickFull Ownership

Security updates

Managed SaaSAutomatic
DIY on a VPSManual
Automatio one-clickOne-click updates

Monthly cost

Managed SaaSPer-user/Per-run
DIY on a VPSVariable VPS
Automatio one-clickFixed VPS price

SSL setup

Managed SaaSIncluded
DIY on a VPSManual config
Automatio one-clickAuto-provisioned

Who this is for

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

a solo AI builder

Hitting trial limits and seat costs while prototyping new agent ideas.

You get a permanent lab to experiment with dozens of models and complex strategies without a ticking clock.

  • Testing local Llama models with private docs
  • Building a personal research assistant
  • Automating social media content workflows

a marketing agency owner

The high cost of per-client chatbot hosting on proprietary platforms.

You can host multiple client agents on a single server, keeping your margins high and client data siloed.

  • Deploying custom lead-gen bots for clients
  • Automating SEO audit workflows
  • Managing client email sequence generation

a startup developer

Security teams blocking SaaS AI tools due to data leakage fears.

You can ensure data residency by pointing your stack at your own VPC-restricted server.

  • Building internal HR knowledge bases
  • Creating a SQL-to-natural-language agent
  • Integrating AI steps into CI/CD pipelines

an operations manager

Wasting hours on manual data sorting and reporting tasks.

Build agents that perform real actions in your business systems through a visual interface.

  • Automating weekly report compilation
  • Setting up intelligent lead scoring
  • Creating Slack agents for team FAQ

About This App

What this app does and where it fits.

Bridging code and visual design

Flowise AI was created to simplify the development of LLM applications by providing a low-code interface for the LangChain ecosystem. Building an AI agent traditionally requires significant Python or TypeScript code to manage conversation history, tool calls, and document embeddings. This platform transforms these modular components into visual nodes that can be connected on a drag-and-drop canvas, making it accessible to both developers and technical operators.

How the architecture works

The application is a Node.js project that provides a graphical wrapper over LangChain and LlamaIndex. When you design a chatflow, the platform generates a JSON configuration that describes the logic. This configuration is executed on the server, allowing you to connect to external LLMs like OpenAI or local alternatives like Ollama. The maturity of the project is reflected in its vast marketplace of pre-built nodes for vector databases like Pinecone, document loaders for Google Drive, and memory buffers for persistent chat sessions.

Your first hour of building

A typical first project involves creating a "Chat with PDF" agent. You drag a PDF loader, a text splitter, and a vector store node onto the canvas. After uploading a document and providing an API key, the agent is immediately testable in the built-in chat window. Unlike basic chatbots, these flows can use chains to perform multi-step reasoning, such as extracting specific data from a document and formatting it into a JSON object for a third-party API.

Maturity and market position

Flowise is a leading project in the visual AI builder space with over 52,000 GitHub stars. While it competes with tools like Dify and Langflow, it is often favored for its deep alignment with LangChain's core logic. In 2025, it was acquired by Workday, which has led to increased focus on stability and security while keeping the core engine open-source. For self-hosters, it represents a stable, private way to deploy agents that would otherwise require expensive SaaS subscriptions.

About This App

Community Feedback

See what the community thinks about Flowise

The research details multiple RCEs and other critical vulnerabilities present in Flowise. Users operating Flowise instances should immediately review their deployments and apply all available patches.
falconupkid
reddit
Flowise - Similar to Dify, but more focused on LangChain functionality. Was quite buggy last time I tried, but allowed for a simpler setup of basic agents.
Everlier
reddit
Flowise/OpenWebUI in perpetual 'starting' Postgres/Redis configs completely mismatched.
amchaudhry
reddit
It’s fast, visual, and perfect for getting an LLM idea off the ground or throwing together a simple RAG app.
@misbahsyed
twitter
Flowise feels better to use if that makes sense. The credentials management, tool menus, and others all make sense.
u/beginner_builder
reddit
Building agents is straightforward, but you definitely need a server with enough RAM or the Node process will just kill itself during ingestion.
@cellinlab
twitter

Related Videos

Watch tutorials, reviews, and discussions about Flowise

This can be useful if you're working with sensitive data that you don't want to share with the outside world.

Llama 3.2 is a lightweight model that's actually very powerful.

It only needs about 2 gig of disk space and requires the same amount of VRAM.

Flowise places the AI capabilities at the front and center of everything it does.

This makes it very easy to build AI systems where agents can talk to each other.

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.

AI Agents
Web Automation
Smart Workflows

Pro Tips

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

RAM allocation

Ensure your server has at least 4GB of RAM (CX23 or CX33). Multi-agent workflows cause Node.js memory spikes during complex reasoning tasks.

Secure custom nodes

If you do not plan to use the Model Context Protocol, disable it in your environment variables to close potential remote execution vectors.

Persistent database

Configure an external Postgres database if you plan to store thousands of chat histories, as the default local storage can become slow at scale.

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 Flowise