Tamago

Adds compatibility between architectury's hooks and porting lib's

3.2K Downloads

fabricquiltutility

Rent Server with this Mod

About this Mod

Adds compatibility between architectury's hooks and porting lib's

This is a small mod to fix issues between Hephaetus and FTB Ultimine

Available Versions

Tamago 3.0release

MC 1.20.1fabric

April 26, 2024

Tamago 2.2release

MC 1.20.1fabric

November 24, 2023

Tamago 2.1release

MC 1.20.1, 1.20.2fabric

November 13, 2023

Tamago 2.0release

MC 1.20.1fabric

November 13, 2023

1.0release

MC 1.18.2fabric, quilt

October 14, 2022

How to Install Tamago on Your Server

Order Server

Order a Minecraft Java server with at least 3 GB RAM (4 GB recommended).

Set fabric Loader

In the panel under "Egg", select the fabric loader and matching Minecraft version (1.20.2).

Install Mod

Open the mod browser in the dashboard and search for "Tamago". Click "Install" – done! Alternatively, upload the .jar via SFTP to the /mods folder.

Compatibility

Mod Loaders

fabricquilt

Minecraft Versions

1.20.2, 1.20.1, 1.18.2

Server-side

✓ Required

Recommended RAM

4 GB(min. 3 GB)

Frequently Asked Questions

Tamago server crashes on startup – what to do?

Most common cause: wrong fabric version or insufficient RAM. Check the server log (latest.log) for "OutOfMemoryError" or "Mixin" errors. With Mado Hosting: ensure at least 3 GB RAM is allocated and the loader matches the mod version (1.20.2). You can switch loaders with one click in the panel.

Is Tamago compatible with fabric and quilt?

Tamago officially supports fabric, quilt for Minecraft 1.20.2, 1.20.1, 1.18.2. The Mado dashboard automatically detects incompatible loader combinations.

Server lagging with Tamago – how to optimize performance?

Recommended RAM: 4 GB (per 8 players). Use /spark profiler to check if Tamago consumes the most tick time. Common fixes: reduce server view-distance to 8-10, install "performant" or "starlight" as supplementary mods on Forge. With Mado Hosting, your server runs on NVMe SSDs with dedicated CPU cores for minimal latency.