My Adventures

This could be anything going from a Choose Your Own Adventure style, though interactive fiction to a more TTRPG style experience.

The realm of tabletop role-playing games (TTRPGs), especially classics like Dungeons & Dragons (D&D), has always been about imagination, storytelling, and the dynamic interplay between players and the game master. But what if the non-player characters (NPCs) or even player characters were driven by artificial intelligence? With advancements in AI and natural language processing, this concept is no longer the stuff of science fiction. AI agents can now embody characters with rich backstories, distinct personalities, and evolving goals, adding a new dimension to gaming. Moreover, leveraging technologies like Retrieval Augmented Generation (RAG) and memory systems ensures coherent character development and story continuity.

One of the challenges with AI-generated content is maintaining consistency over time. This is where Retrieval Augmented Generation (RAG) and memory systems come into play. RAG is a technique that combines large language models with a retrieval system. Instead of relying solely on the AI's generative capabilities, RAG allows the agent to pull information from a predefined knowledge base. This ensures that the AI's responses are not only coherent but also accurate and relevant to the context.

Memory systems enable the AI agent to "remember" past interactions, decisions, and events. This is crucial for maintaining character arcs and story history. By retaining this information, the AI can:

Refer back to previous conversations or events. Develop its character over time based on experiences. Ensure continuity in the storyline and character relationships. Together, RAG and memory systems allow AI agents to participate in the game in a way that's consistent with their character's history and the overall narrative.