skyagi

SkyAGI: Simulating Realistic Human Behavior in AI

SkyAGI is an innovative Python package that showcases the cutting-edge ability of large language models (LLMs) to simulate realistic human behaviors. This project is particularly unique as it implements the concept of Generative Agents, creating a dynamic role-playing game that offers users a truly engaging experience.

What Sets SkyAGI Apart?

SkyAGI stands out from previous AI-based non-player character (NPC) systems by generating believable human-like responses. This new capability opens up exciting possibilities for game development, particularly in areas like writing scripts for NPCs. The project uses iconic characters from popular media such as "The Big Bang Theory" and "The Avengers" as examples, providing users a captivating starting point. Moreover, SkyAGI allows for customization by enabling users to create personalized characters via configuration JSON files.

Getting Started with SkyAGI

To start experiencing SkyAGI, installation is straightforward. The package can be installed via pip:

pip install --upgrade skyagi

Or alternatively:

make install

Once installed, users need to set an OpenAI API key to run SkyAGI:

export OPENAI_API_KEY="your_api_key"
skyagi

Or:

OPENAI_API_KEY="your_api_key" skyagi

For example, using a hypothetical API key, the command would be:

export OPENAI_API_KEY=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
skyagi

Additionally, example agent configurations can be downloaded from the GitHub repository, as the configurations aren’t included in the pip installation.

Character Customization

SkyAGI supports character customization, allowing users to create characters unique to their preferences. For example, a character setup for Sheldon from "The Big Bang Theory" could include attributes like age, personality traits, and memories. This tailored customization enhances the immersive experience for users.

Here is a snippet of what a character configuration might look like for Sheldon:

{
    "name": "Sheldon",
    "age": 27,
    "personality": "Intelligent, rigid, socially challenged, quirky, and arrogant.",
    ...
    "current_status": "Sheldon is at the Cheesecake Factory"
}

Noteworthy Observations from the Demo

The demo featuring "The Big Bang Theory" characters has yielded several fascinating insights:

1. Memory Retention: Characters like Leonard remember details, such as Penny asking him to persuade Sheldon to go hiking, indicating a memory-like capability.
2. Story Progression: Leonard's behavior changes after Sheldon whispers to him, and he even attempts to convince Penny to join their scientific endeavor. This shows that the agents make meaningful narrative progress autonomously.
3. Human-like Responses: The responses provided by the agents are very human-like, making it challenging for users to distinguish them from real human interactions.

These observations highlight the potential of SkyAGI to redefine NPC interaction and storytelling in digital environments.

Further References

For more in-depth understanding, users can refer to the project references:

1. The foundational concept of Generative Agents arXiv paper.
2. Guidance on creating generative characters using LangChain Python documentation.

SkyAGI is an exciting step forward in the realm of AI and gaming, promising to reshape the landscape of human-like interaction in virtual spaces.