How to order LibreChat?

Deploy LibreChat as a fully managed service starting at €9/month. Get automated backups, SSL, updates, monitoring, and human support, all included.

DANIAN runs LibreChat as a fully managed service: installation, updates, backups, monitoring and security are handled for you.

See the librechat hosting page for plans, pricing and a free trial.

1. Login at: https://portal.danian.co

2. Manage Apps - Add an App

3. Select: LibreChat

4. Select service Region

This is the datacenter location where your App will be located.

5. Select the App Address (URL) - Select 1 of the 2 options:

A. Use a free URL provided by DANIAN

B. Use my own Domain/Subdomain. Then enter the URL. Later an automated email will be send to you with additional info.

6. Click: Send

7. You will be notified via email as soon as your App is activated.

8. To access the App credentials:

https://portal.danian.co - Manage Apps - My Apps - Click on the App
There you will find:
A. Account related info: Email, Username
B. App related info: Order Date
C. App info: App name, Plan, Disk, Region, Public IP Address, Charge
D. App Login: URL, Username and/or Email, Password & Useful info
E. Status: Delivered or Pending
F. Total Cost per month

About LibreChat

LibreChat is an open-source, self-hosted AI chat platform. It puts every major model — and your own local ones — behind a single, familiar interface, so a whole team can work with AI without sending prompts to a consumer product you don't control.

The project is MIT-licensed and built by Danny Avila. In November 2025, ClickHouse acquired LibreChat and brought the founder and core team in-house, while committing to keep the project open-source. It has passed 23 million Docker pulls and roughly 34,000 GitHub stars, with an active community of several thousand developers — the most-starred open-source AI chat project for over a year.

LibreChat connects to OpenAI, Anthropic, Google, Azure, AWS Bedrock, Mistral, Groq, and OpenRouter, plus any OpenAI-compatible endpoint — including local models through Ollama. Teams at companies such as Shopify and Daimler Truck run it internally for staff. Beyond chat, it supports AI agents, the Model Context Protocol, a code interpreter, file search over your documents, and multi-user sign-in with roles.