AIPrototype

AutoGameGen — AI Game Generator

Prompt-to-Playable Game Architecture with Multi-Agent AI Pipeline

Year

2024

Overview

AutoGameGen is an AI game development platform that coordinates specialised AI agents across the complete game-development lifecycle. A developer describes a game idea in natural language; the platform generates an editable AI Game Design Document, then passes it through sequential agents — Game Planner, System Designer, Code Generator, Asset Generator, Scene Builder, Tester/Validator, Builder/Exporter — each handling a distinct phase. The system supports Unity/C#, Godot/GDScript and web-based engine targets. A RAG knowledge layer provides agents with relevant game-dev documentation, design patterns and API references. Automated validation checks compilation errors, broken references and gameplay logic before export.

Project Photos

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Challenge

Game development requires weeks of repetitive boilerplate work before meaningful creative decisions can be made. Indie developers and studios need a way to generate validated starting points rapidly without sacrificing project quality or structure.

Solution

A multi-agent AI orchestration architecture where specialised agents handle GDD, code, asset generation, scene assembly, automated testing and multi-platform builds — coordinated by a central orchestration layer with memory, RAG and tool access, backed by FastAPI with async job queues and vector database context.

Features

✓Natural-language game description → AI Game Design Document with editable GDD before generation

✓7 specialised AI agents: Game Planner, System Designer, Code Generator, Asset Generator, Scene Builder, Tester, Builder/Exporter

✓Multi-engine support: Unity/C#, Godot/GDScript, Babylon.js, Three.js

✓RAG knowledge layer with game-dev docs, engine APIs, design patterns and previous project context

✓Automated validation — compilation errors, missing dependencies, broken references, gameplay logic checks

✓Asset generation pipeline: characters, environments, props, textures, UI, audio, VFX

✓Async job queue with reproducible project builds and model selection

Outcome

Architecture validated with prompt-to-playable prototype generation. Open-source components documented on GitHub. Production path to full game-studio AI assistant defined.

Technology Stack

FastAPIPythonLLMsBlender HeadlessGodot 4Hugging FacePyTorchPostgreSQLRedisMilvusDocker

Links

GitHub

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