LLM-agnostic framework for tabletop RPG Game Masters

LLM-Agnostic Tabletop RPG Game Master Framework

This project provides a foundational framework for developers looking to build AI-powered Game Masters (GMs) for tabletop role-playing games (TTRPGs). Designed with flexibility and extensibility in mind, it abstracts away direct LLM dependencies, allowing integration with a variety of large language models. This agent-based approach empowers creators to develop sophisticated AI GMs capable of managing game narratives, generating content, and interacting with players in a dynamic and responsive manner.

What it Does

The core function of this framework is to facilitate the creation of AI GMs for TTRPGs. It acts as an intermediary, translating game logic and player input into prompts that can be understood by different LLMs. The framework handles the orchestration of AI agents responsible for various GM tasks, such as:

• Narrative generation and progression
• NPC interaction and dialogue
• World building and lore management
• Rule enforcement and adjudication
• Dynamic encounter creation

By being LLM-agnostic, it allows developers to leverage the strengths of different models without being locked into a single provider.

Key Features

• LLM Agnosticism: Compatible with multiple LLM providers and models through a modular design.
• Agent-Based Architecture: Utilizes distinct AI agents for specialized GM functions, promoting modularity and maintainability.
• Extensibility: Designed to be adapted for various TTRPG systems and custom game mechanics.
• Developer-Focused: Provides a technical foundation for building complex AI GM applications.
• Open Source: Hosted on GitHub, encouraging community contributions and transparency.

Who it's For

This framework is intended for AI developers , game designers , and TTRPG enthusiasts who are interested in exploring the intersection of artificial intelligence and tabletop gaming. It is particularly useful for those who want to:

• Build custom AI GMs for their own TTRPG campaigns.
• Experiment with different LLMs for game mastering.
• Develop new tools and agents for the TTRPG ecosystem.
• Contribute to the advancement of AI in interactive storytelling.

A foundational understanding of programming and AI concepts is beneficial for utilizing this tool effectively.