Yuan-ManX/ai-game-devtools

What it is: AI Game DevTools is a directory (a curated list) that collects and organizes artificial-intelligence tools, models, and frameworks that can be used in game development. It doesn't contain code or software itself; instead, it's a reference hub with links to external projects.

What it covers: The README describes it as "the ultimate resource hub for AI-powered game development tools." Inside, you'll find tools across many categories:

• LLM & Tool – Large Language Models (like ChatGPT-style AI) and general AI tools
• VLM (Visual) – Visual language models that understand images
• Game – World models and AI agents
• Code – AI for writing code
• Image, Texture, Shader, 3D Model, Avatar, Animation – AI for visual assets
• Video, Audio, Music, Singing Voice, Speech – AI for media and sound
• Analytics – AI for analyzing game data

How entries are presented: Each project appears as a row in a table with:

• Source – a link to the project (usually a GitHub repo or official site)
• Description – a short summary of what it does
• Paper – an optional link to an academic paper if available
• Game Engine – whether it works with Unity, Unreal Engine, or is engine-agnostic
• Type – e.g., "Tool" (a ready-to-use app) or "LLM" (a language model you'd integrate)

For example, you'll find Unity-specific integrations (like ChatGPT-API-unity, AICommand) and Unreal Engine tools (like InteractML-Unreal Engine), alongside general-purpose models (like DeepSeek-R1, Gemma) that aren't tied to any game engine.

Project metadata:

• Version: 1.0.0
• License: MIT
• Has an official website: https://yuan-manx.github.io/ai-game-devtools/ (also available in Chinese)

What it is NOT:

• It's not a game engine, a game, or a piece of game tooling.
• It doesn't provide installation instructions, usage guides, or comparisons between tools.
• It's essentially a bookmarked list – you'd visit each linked project to learn more or install it.

Who it's for: Game developers (or AI enthusiasts) who want a single place to discover AI resources – from large language models and coding assistants to asset-generation tools – and quickly find ones that support their chosen engine.