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ExAI

ExAI

An AI Assistant Plugin for Minecraft Server

103downloads
0followers
103downloads
0followers

Creators

Details

Licensed ARR
Published 5 months ago
Updated 3 weeks ago
All versions

1.0.2

Release
ExAI 1.0.25 months ago 21
Download

Compatibility

Minecraft: Java Edition
1.20
1.19
1.18
1.17
1.16
1.15
1.14
1.13
1.12
Platforms
Bukkit
Paper
Spigot

Changes

ExAI — AI Assistant Plugin for Minecraft

ExAI brings an LLM-powered, in-game AI assistant to your Minecraft server. It answers player questions with a community-curated knowledge base, using RAG (vector retrieval + LLM) for grounded, server-specific replies. Everything happens inside a chest GUI — no command memorization required.

Features

  • Chest GUI assistant — players talk to the AI through a clean menu, no chat spam.
  • Public chat response — auto-replies to questions in public chat by keyword triggers (configurable, with cooldown).
  • Knowledge base with review workflow — players submit Q&A via a written book → OP approves/rejects in GUI → approved entries enter the vector store.
  • RAG retrieval — DashScope text-embedding-v3 (1024-dim) for semantic search; configurable similarity threshold.
  • Reward system — Vault currency + custom item rewards for approved submissions.
  • OP tools — chat history viewer, knowledge base editor, per-record edit-and-promote.
  • Flexible storage — choose between MySQL or pure local YAML files via storage.type; zero database setup required for small servers.
  • i18n — built-in zh_CN / en_US, hot-reloadable.
  • LLM backend — OpenAI-compatible API (default Aliyun DashScope / Qwen, easy to swap to OpenAI, DeepSeek, etc.).

Commands & Permissions

Command Description /exai opengui Open the assistant GUI /exai question <player> <q> Send a question to a player (OP) /exai reload Reload config (OP) /exai help Show help Permission node: exai.op (knowledge review).

Quick Setup

  1. Drop ExAI.jar into plugins/.
  2. Start the server once → edit plugins/ExAI/config.yml:
  3. Choose storage.type: yml (default, no DB) or mysql.
  4. If mysql, fill in MySQL credentials.
  5. Fill in your LLM API key (llm.apiKey).
  6. Adjust assistant name / language / rewards.
  7. (Optional) Edit plugins/ExAI/knowledge.yml to seed your knowledge base.
  8. /exai reload.

Storage modes

  • yml (default)
  • mysql

Requirements

  • Spigot/Paper 1.12.2 or compatible
  • Java 8+
  • MySQL 5.7+ — only if storage.type: mysql
  • Vault — optional, for currency rewards
  • An OpenAI-compatible LLM endpoint + embedding endpoint