How to order Laminar?

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

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

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

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

2. Manage Apps - Add an App

3. Select: Laminar

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 Laminar

Laminar is an open-source observability platform for AI agents. It captures each run as a tree of nested spans covering model calls, tool calls, retries and browser steps, then adds evaluations, datasets and dashboards on top of the same stored data.

The project is maintained by LMNR AI, Inc., a Y Combinator company, and published under the Apache License 2.0. The codebase is a Rust ingest server, a Next.js interface, and client libraries for Python and TypeScript. Ingest is OpenTelemetry-native, so anything that already speaks OTLP can send spans without a proprietary agent in the path.

A working deployment is not one container. The lightweight stack runs the interface, the Rust application server, PostgreSQL for metadata, ClickHouse for span data and Quickwit for full-text search. The production stack adds a message queue, a cache and a separate consumer process. Teams that publish their use of it include Browser Use, OpenHands and Rye.