AdventureGPT is a project that utilizes LLM-Backed Agents to play text-based adventure games. The author started by exploring OpenAI models like ChatGPT and wanted to understand the available development tools. They integrated Colossal Cave Adventure with ChatGPT and created the first version of AdventureGPT. The project evolved by incorporating concepts from AutoGPT and BabyAGI, resulting in the creation of task creation, execution, completion, and player agents. AdventureGPT has reached a point where it’s worth sharing with the community, and the author has open-sourced the code under the Apache 2.0 license to encourage further development and collaboration in enhancing AI models’ game-playing capabilities.
| Signal | Change | 10y horizon | Driving force |
|---|---|---|---|
| AdventureGPT: Using LLM-Backed Agents | Integration of AI models in gaming | More advanced and human-like gameplay experiences | Advancements in AI technology |
| Autonomy and interactivity in text-based games | Enhanced interactivity in gaming | Games that respond intelligently to player input | Desire for immersive and engaging experiences |
| Task creation, execution, and completion agents | Automation and optimization of tasks | More efficient and purpose-driven gameplay | Improving efficiency and user experience |
| Open-sourcing code and licensing under Apache 2.0 | Collaboration and community-driven | Collaborative development and innovation | Encouraging further development and sharing |
| Reducing reliance on walkthroughs | More independent gameplay experience | Games that require less external guidance | Enhancing player autonomy and challenge |