Langflow

Development2048MB+ RAM

Visual framework for building multi-agent and RAG applications

Download Server Compass Install Langflow to VPS

aillmvisualragagentslangchain

Deploy Langflow in 3 Steps

Connect Your VPS

Add your server credentials to Server Compass

Select Langflow

Choose from our template library

Deploy & Configure

Fill in settings and click Deploy

No Docker knowledge required

Step-by-step deployment guide

Deploy Langflow on a VPS with Server Compass

Use the Langflow template in Server Compass to deploy a web-based visual AI application and agent workflow builder on your VPS, then verify the login screen in a browser.

About 10 minutesBrowser verified

Step 1

Open the server Apps tab

Select the tutorial-vps VPS, open the Apps tab, and start a new app deployment. Keep sensitive server details hidden before capturing or sharing screenshots.

Server Compass Apps tab before creating a Langflow app

Step 2

Choose an app template

Click New App and choose the template deployment path so Server Compass can load the built-in catalog.

Choosing to deploy an app from a Server Compass template

Step 3

Search for Langflow

Use the template picker search to find Langflow in the Server Compass template catalog.

Searching for Langflow in the Server Compass template picker

Step 4

Select the Langflow template

Choose the Langflow template. Server Compass fills the Langflow service, persistent data volume, generated superuser password, auto-login setting, and web port.

Langflow template selected in Server Compass

Step 5

Review the Langflow settings

Confirm the app name and compose services. In this run, the app was named langflow-demo and used host port 7860.

Reviewing Langflow project settings and compose services

Step 6

Deploy Langflow

Review the generated compose settings, confirm the web port is available, and click Deploy Now.

Reviewing Langflow environment variables and port before deployment

Step 7

Watch the deployment progress

Keep the deployment modal open while Server Compass uploads the compose file, pulls the Langflow image, starts the container, and verifies the stack.

Server Compass deploying the Langflow template on the VPS

Step 8

Confirm Langflow is running

After deployment finishes, return to the Apps tab and confirm the Langflow app is marked Running with its application URL available.

Langflow template running in the Server Compass Apps tab

Step 9

Open Langflow in the browser

Click Open Application or open the application URL in a browser. The Langflow login screen confirms the AI workflow builder UI is reachable.

The deployed Langflow login screen loaded in a browser

After Langflow Opens

Do not expose Langflow directly to the public internet without HTTPS, strong admin credentials, and an additional access-control layer.
Use a VPN, IP allowlist, or authenticated reverse proxy for production workflow-builder access.
Configure provider credentials inside Langflow only after deployment and keep API keys out of screenshots and docs.
Keep the Langflow image updated for security and component fixes.
Use least-privilege provider API keys and restrict editor access to trusted users.

Verified Result

The Langflow web UI loaded successfully in a browser.

Download Server Compass Docs

Langflow deployment questions

What does the Langflow template deploy?

It deploys the Langflow container with a persistent `/root/.langflow` data volume, superuser credentials and persistent flow storage.

Which port did the tutorial use?

The tutorial used host port 7860, which maps to the Langflow web UI on container port 7860.

Why does the browser verification stop at the first web UI screen?

A fresh Langflow deployment is considered reachable when the login screen loads. The tutorial does not create an account or publish the generated admin password and API encryption secret.

Should this become a blog post?

No. The deployment guide should live on the Langflow template detail page and be linked from the reusable template deployment docs page.

Why Self-Host Langflow?

Langflow provides a visual framework for building sophisticated multi-agent and RAG applications. Self-hosting is essential when your AI workflows process confidential business data or integrate with internal APIs that should not be exposed to cloud services. You get full control over versioning, data flow, and which models your agents use.

Build multi-agent systems with a visual drag-and-drop interface

Full control over which LLMs and embedding models your flows use

Process sensitive data through AI pipelines without cloud exposure

Export and version-control your flows as JSON

Integrate with internal APIs and databases that stay behind your firewall

Langflow vs Alternatives

Langflow vs Flowise

Flowise is simpler for basic chatbots. Langflow supports more advanced multi-agent orchestration and complex flow logic.

Langflow vs n8n + AI nodes

n8n is a general automation tool. Langflow is purpose-built for AI/LLM workflows with native support for vector stores and agents.

Langflow vs Amazon Bedrock

Bedrock is AWS-locked and pay-per-use. Langflow is open-source, runs anywhere, and supports any LLM provider.

Why Deploy Langflow with Server Compass?

Server Compass deploys Langflow with the correct Python environment and persistent storage pre-configured. No need to manage pip dependencies or virtual environments — everything runs in a containerized setup ready for production.

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After Deployment

After deploying Langflow with Server Compass, complete these steps to finish setup

Access the Langflow UI

Create flows with drag-and-drop

Configure API keys for LLM providers

Need help? Check out our documentation for detailed guides.

Langflow FAQ

Common questions about self-hosting Langflow

How do I deploy Langflow with Server Compass?

Simply download Server Compass, connect to your VPS, and select Langflow from the templates list. Fill in the required configuration and click Deploy. The entire process takes under 3 minutes.

What are the system requirements for Langflow?

Langflow requires a minimum of 2048MB RAM. We recommend a VPS with at least 4096MB RAM for optimal performance. Any modern Linux server with Docker support will work.

Can I migrate my existing Langflow data?

Yes! Server Compass provides volume mapping that allows you to import existing data. You can also use standard Langflow backup and restore procedures.

How do I update Langflow to the latest version?

Server Compass makes updates easy. Simply click the Update button in your deployment dashboard, and the latest Langflow image will be pulled and deployed with zero downtime.

Is Langflow free to self-host?

Langflow is open-source software. You only pay for your VPS hosting (typically $5-20/month) and optionally Server Compass ($29 one-time). No subscription fees or per-seat pricing.

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Ready to Self-Host Langflow?

Download Server Compass and deploy Langflow to your VPS in under 3 minutes. No Docker expertise required.

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