Automatic
Anonymization
in Langflow

The open-source platform for no-code LLM applications with visual drag & drop interface – now GDPR-compliant with real data.

anymize Node Files (Google Drive)

Until now, developers and business teams using Langflow workflows had to leave their most valuable data out. Too risky for personal information. Too dangerous for compliance requirements. anymize changes that fundamentally.

For the first time, professionals can use their real business data in visual Langflow workflows with the world's best AI systems:

A data scientist builds RAG systems by drag & drop – with real company documents, real customer data, real business information. A developer creates chatbots visually – with real support tickets, real FAQ content, real product data. A business analyst designs AI agents without code – with real contracts, real reports, real analysis data.

Every Langflow workflow stays GDPR-compliant. Every application is fully functional. Every innovation is possible.

Chat with sensitive data – GDPR-compliant.

anymize Node Files (Google Drive)

Prerequisites

  • Access to your Langflow installation
  • File management capabilities on your server
  • Basic understanding of Langflow component structure

Hinweis: Always create a backup of your Langflow installation before adding custom components.

Step-by-Step Installation

Step 1: Download the anymize Component

Go to the shared Google Drive folder: anymize Node Files

Download the anymize/ folder to your local computer

Step 2: Find your Langflow Components Directory

Navigate to your Langflow installation and find the components directory:

langflow/src/lfx/src/lfx/components/

Step 3: Install the anymize Component

Take the downloaded anymize folder and place it directly in:

langflow/src/lfx/src/lfx/components/anymize/

Your final structure should look like this:

langflow/
└── src/
    └── lfx/
        └── components/
            └── anymize/
                ├── anymize.py
                └── __init__.py

Step 4: Restart Langflow

Restart your Langflow server to load the new component.

Verification

Check Langflow UI

  • Open your Langflow web interface
  • Search for the anymize component in the component panel
  • The component should appear with its custom icon and configuration options

Test the Component

  • Drag the anymize component into a flow
  • Configure the API credentials
  • Test with a simple document anonymization

Troubleshooting

Component not appearing

  • Check that the anymize folder is in the correct location
  • Verify that file permissions are readable
  • Fully restart Langflow

Configuration issues

  • Ensure both anymize.py and __init__.py files were properly copied
  • Check that no files were corrupted during transfer
  • Check Langflow logs for error messages

Need help?

If issues occur during installation:

  • Double-check the file structure – it should match the example above (anymize folder with anymize.py and __init__.py)
  • Ensure file permissions allow Langflow to read the component files
  • Check Langflow startup logs for component loading errors
  • Restart the service after changes

Start now.
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Start for freeHow it works

We stand behind anymize. And we know – when an AI tool touches client, patient or employee data, a demo video isn't enough. That's why we give you 14 days of full access – all models, all features, no credit card. Enough time to be certain, before you trust us.

Your AI workplace awaits.