
CloudChat.ai
CloudChat brings a configurable, and fully server-side AI powered in game chat to Minecraft servers using Cloudflare Workers AI with lightweight, fully server side integration.
About this Mod
CloudChat.ai
CloudChat.ai is an open source AI assistant mod for Minecraft servers.
It allows players to chat with an AI directly in game using simple commands. Server owners can customize the AI’s name, personality, behavior, and backend settings through an automatically generated configuration file.
CloudChat is designed to be lightweight, easy to set up, and fully server side, meaning players do not need to install the mod on dedicated servers.
Features
- AI chat directly inside Minecraft
- Custom AI names and personalities
- Configurable commands
- Cloudflare Workers AI support
- Configurable AI model selection
- Automatic config generation
- Server awareness support
- Server-side support
- Singleplayer and LAN support
- Open-source
Server Owner Customization
Server owners can customize:
- AI name
- Command name
- AI personality/system prompt
- API endpoint
- AI model
- Cooldowns
- Message limits
- Server awareness settings
Quick Setup
Install the mod into your server's
modsfolder.Start the server once.
CloudChat will automatically generate a config file at:
config/cloudchat/cloudchat.propertiesConfigure:
- Worker URL
- API secret
- AI model
Restart the server.
Use the command in-game:
/cloudchat Hello!
Cloudflare Workers AI Setup
CloudChat uses Cloudflare Workers AI as the backend.
Server owners can:
- Host their own Worker
- Choose their own AI model
- Customize AI behavior and personality
The full setup guide, Worker backend template, configuration guide, and troubleshooting steps are available on the GitHub Wiki.
The Wiki includes:
- Creating a Cloudflare Worker
- Deploying the Worker backend
- Setting up the API secret
- Connecting CloudChat to your Worker
- Configuring AI models
- Advanced configuration options
Planned Features
CloudChat currently supports the Fabric mod loader and is planned to expand with future features such as:
- NeoForge support
- Discord integration
- Dashboard configuration
- Multi-model support
- Local AI model support
- Moderation tools
- Mod-aware interactions
- Optional inventory and server data awareness
Environment
- Works on dedicated servers
- Works in singleplayer
- Works in LAN worlds
- Players do not need the mod installed on dedicated servers
Development Notes
Some parts of the project were developed with AI-assisted tooling for implementation, debugging, and boilerplate generation. Project architecture, infrastructure design, and feature direction are maintained by the contributors.
Available Versions
How to Install CloudChat.ai 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 (26.1.2).
Install Mod
Open the mod browser in the dashboard and search for "CloudChat.ai". Click "Install" – done! Alternatively, upload the .jar via SFTP to the /mods folder.
Compatibility
Mod Loaders
Minecraft Versions
26.1.2
Server-side
✓ RequiredRecommended RAM
4 GB(min. 3 GB)Frequently Asked Questions
CloudChat.ai 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 (26.1.2). You can switch loaders with one click in the panel.
Is CloudChat.ai compatible with fabric?
CloudChat.ai officially supports fabric for Minecraft 26.1.2. The Mado dashboard automatically detects incompatible loader combinations.
Server lagging with CloudChat.ai – how to optimize performance?
Recommended RAM: 4 GB (per 8 players). Use /spark profiler to check if CloudChat.ai 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.
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