🤖 Innovator:
A General AI Agent Framework for Animation, Film & Game Creation

Innovator is a general AI agent framework designed for animation production, film-making, and game development workflows. It enables creators to build intelligent agents capable of understanding creative intent, planning complex tasks, and executing end-to-end content creation pipelines across animation, cinematic storytelling, visual production, and interactive game content.

Innovator integrates large language models with memory, planning systems, tool orchestration, and conditional reasoning, forming a flexible and extensible foundation for next-generation creative AI agents across animation, film, and games.

AI Agent = LLM + Memory + Planning + Tools + Conditions + Creative Intelligence + World Interaction

🔧 Installation

1. Clone this repository:

git clone https://github.com/Yuan-ManX/Innovator.git

3. Install dependencies:

cd Innovator
pip install -r requirements.txt

🚀 Key Features

🧠 Multi‑Agent Creative Intelligence

Innovator defines a multi‑agent architecture composed of:

• Planner Agent — decomposes tasks and generates stage plans
• Director Agent — enforces creative direction, style, and constraints
• Animation / Film / Game Agents — handle domain‑specific execution
• Render Agent — bridges scene data to video/image rendering systems
• Confidence‑Based Router — dispatches tasks dynamically with auto‑fallback

This approach enables structured pipelines similar to real‑world production teams, but fully driven by AI.

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🧩 Architecture

Innovator integrates:

• Large Language Models (LLMs) for reasoning and narrative
• Memory & Continuity Systems to track state across sessions
• Planning Layers for multi‑stage workflows
• Tool Orchestration to dispatch tasks to generation AI Model
• Conditional Routing & Confidence Scoring to ensure workflow correctness

Innovator provides a foundation for automation in:

• Storyboard & Shot Planning
• Character Motion & Animation Sequencing
• Cinematic Camera Planning
• Interactive Game Logic
• Automated Rendering & Production Output

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📁 Related Research & Future Scope

Relevant research fields:

• Text-to-action & story-to-motion systems for generating natural character movements and animations
• Embodied multi-task agents capable of planning, reasoning, and executing complex creative workflows
• Generative models for 3D assets, cinematic scenes, and interactive game content
• Multi-modal storytelling combining narrative, visuals, audio, and interactivity
• AI-driven pipeline orchestration for end-to-end content creation across animation, cinematic, and gaming domains

These research areas inspire the design of Innovator agents, enabling seamless integration of creative intent, motion, and interactive logic in animation, film, and games.

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📜 Contribution & License

Innovator is open source and welcomes contributions from researchers, developers, and creators.

You can contribute by:

• Submitting new features or improvements
• Fixing bugs or optimizing performance
• Adding new agent skills, models, or pipelines
• Writing documentation, tutorials, or examples
• Reporting issues or suggesting enhancements

Please refer to LICENSE.

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Cite Innovator

If you use Innovator in your publication, please cite it by using the following BibTeX entry.

@Misc{Innovator,
  title =        {`Innovator — A General AI Agent Framework for Animation, Film & Game Creation.},
  author =       {Yuan Man},
  howpublished = {\url{https://github.com/Yuan-ManX/Innovator}},
  year =         {2025}
}