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QuestTapestry

A modern questing framework for the latest Minecraft versions, featuring a powerful in-game visual editor.

File Details

QuestTapestry-1.0.2 for NeoForge 1.21.9/10

  • B
  • Oct 11, 2025
  • 144.52 KB
  • 30
  • 1.21.10+1
  • NeoForge

File Name

questtapestry-1.0.2.jar

Supported Versions

  • 1.21.10
  • 1.21.9

Curse Maven Snippet

NeoForge

implementation "curse.maven:questtapestry-1362440:7095143"
Curse Maven does not yet support mods that have disabled 3rd party sharing

Learn more about Curse Maven

Version 1.0.2 - AI Overhaul & UI Fixes

This update introduces a major overhaul to the experimental AI system and includes several important UI fixes and quality-of-life improvements.

Added

  • Major AI System Overhaul:
    • The experimental AI feature can now be enabled or disabled in-game via the /questtapestry ai <enable|disable> command (requires OP).
    • Added support for multiple AI providers! You can now choose between Ollama and any OpenAI-compatible API endpoint (like llm7.io). Use /questtapestry ai provider <name> to switch.
    • A new server-side config file (questtapestry-server.toml) has been added to manage all AI settings (URLs, models, API keys).
    • Added a prominent warning message in chat when enabling the AI feature to inform users of its experimental nature.
  • UI Persistence: The width of the left-hand chapter panel is now saved and will be remembered the next time you open the Quest Journal.

Fixed

  • Fixed Camera Jump on Open: Resolved a major issue where opening the Quest Journal would sometimes cause the camera to jump to a distant, empty location on the map. The view now correctly centers on the quests.
  • Fixed Chapter Button Text: Corrected a visual bug where the chapter name would overlap with its icon on the buttons in the left panel.

Changed

  • Expanded Version Support: The mod is now officially compatible with both Minecraft 1.21.9 and 1.21.10.
  • Updated NeoForge: Updated the project to NeoForge 21.10.10-beta for the latest bug fixes and stability improvements.
  • Refactored AI Code: The entire AI system has been refactored into a provider-based architecture, making it cleaner, more organized, and easier to expand in the future.