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ai game devtools

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Basic Information

This repository is a curated, regularly updated directory of AI tools and projects relevant to game development. It collects and categorizes resources across many modalities including large language models (LLM), vision-language models (VLM), world models and agents, code generation, image and texture generation, shaders, 3D models, avatars, animation, video, audio, music, singing voice, speech, and analytics. Each entry is presented in tables with columns such as Source, Description, Paper, Game Engine, and Type where available. The README provides a navigable table of contents and long lists of projects with short descriptions and references to papers or demos. The repository serves as an index and discovery hub for practitioners, researchers, and developers looking for tools and research relevant to AI-assisted game creation and production.

Links

Stars
918
App URL
https://github.com/Yuan-ManX/ai-game-devtools
Github Repository
https://github.com/Yuan-ManX/ai-game-devtools/blob/main/README.md

Categorization

App Details

Features
Structured, large curated lists grouped by modality and use case such as LLM, VLM, Game (world model & agent), Code, Image, Texture, Shader, 3D Model, Avatar, Animation, Video, Audio, Music, Singing Voice, Speech, and Analytics. Entries include a short description and, when available, a paper reference and the target game engine or type. The README includes a detailed table of contents for quick navigation, tabular layouts for easy scanning, project names and concise notes, and visible commit history indicating updates. The list aggregates open-source projects, model names, frameworks, and tools so users can compare offerings across categories and identify resources with academic citations or engine integrations.
Use Cases
The repo helps developers, researchers, and creators discover and compare AI tools tailored for different parts of the game development pipeline. By organizing projects by modality and noting papers and engine targets it reduces time spent searching for relevant frameworks, models, or plugins. The centralized lists highlight tool types and use cases so teams can shortlist options for tasks such as NPC agents, asset generation, animation, speech synthesis, or analytics. The table of contents and tabular entries make it easy to locate resources, follow paper references, and identify engine-specific integrations for Unity, Unreal, Blender, or web-based workflows. The collection also serves as a snapshot of the current ecosystem for monitoring trends and finding experimentation targets.

Categories

Content Creation (5042)
Monetization & Business (2246)
Development Tools (1407)
Marketing & Social Media (1403)
Education & Career (1380)
Multi-Agent Platforms & Frameworks (1009)
Health & Life (957)
AI Resources (920)
Agents & Automation (778)
Data & Analytics (764)
Productivity Tools (679)
Writing & Editing (666)

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