oxai

oxai is a Fabric client mod that adds an Ollama-powered chat companion to Minecraft. Type @ai in chat and the mod sends the prompt to your local Ollama server, then replies in chat.

Support

• Mod version: 0.1.5
• Minecraft: 26.1.x
• Fabric Loader: 0.17.3+
• Fabric API: required
• Java: 25+
• Mod Menu: optional, supported

Mod Menu adds an in-game config screen for the same settings stored in config/oxai.json.

Install

1. Install Fabric Loader and Fabric API for Minecraft 26.1.x.
2. Put the 0xAI JAR in your mods folder.
3. Optional: install Mod Menu to configure 0xAI in-game.
4. Start Ollama:

ollama pull llama3.2
ollama serve

1. Launch Minecraft.

Usage

In chat:

@ai how do i find diamonds
@ai what's the best food
@ai how do i make a nether portal

The default trigger is @ai. You can change it in Mod Menu or in config/oxai.json.

Configuration

With Mod Menu installed:

1. Open Mods.
2. Select 0xAI.
3. Open the config screen.
4. Change settings and press Done.

Without Mod Menu, edit config/oxai.json:

{
  "enabled": true,
  "trigger": "@ai",
  "ollamaUrl": "http://localhost:11434",
  "model": "llama3.2:3b",
  "systemPrompt": "You are a helpful AI assistant in a Minecraft server. Keep responses concise and friendly.",
  "maxTokens": 150,
  "temperature": 0.7,
  "responsePrefix": "[AI] ",
  "maxMessageLength": 256,
  "showErrors": true,
  "requestTimeout": 60000,
  "contextMessages": 5
}

Models

0xAI works with any Ollama chat model. Common choices:

• llama3.2:3b
• llama3.2:1b
• mistral
• phi3

Use smaller models for faster replies or lower-end hardware.

Build

Install JDK 25+, then build with Gradle:

./gradlew build

On Windows PowerShell, if the Unix wrapper script is not executable, run:

java -classpath gradle\wrapper\gradle-wrapper.jar org.gradle.wrapper.GradleWrapperMain build

The built JAR is written to build/libs/.

Troubleshooting

Build says release version 25 not supported

Gradle is using an older JDK. Install JDK 25 and make sure JAVA_HOME or your IDE Gradle JVM points to it.

The mod does not respond

• Make sure 0xAI is enabled in Mod Menu or config/oxai.json.
• Check that Ollama is running with ollama serve.
• Check that the configured model is installed with ollama list.
• Verify that your message contains the configured trigger.

Replies are slow

• Use a smaller model such as llama3.2:1b.
• Lower maxTokens.
• Lower contextMessages.

Connection refused

• Check ollamaUrl.
• Make sure Ollama is running on the configured host and port.