To use example agent configs, download it from here: https://github.com/litanlitudan/skyagi/tree/main/examples (pip install doesn't contain the agent configuration)

An example agent configuration (Sheldon) looks something like this:

{
    "name": "Sheldon",
    "age": 27,
    "personality": "Intelligent, rigid, socially challenged, quirky, and arrogant.",
    "memories": [
        "Sheldon is a theoretical physicist who works at Caltech.",
        "Sheldon has an eidetic memory and is highly intelligent, but struggles with social skills and sarcasm.",
        ...
        "Knock, knock, knock, Penny - This is the specific knock that Sheldon uses when he visits Penny's apartment, which he repeats three times.",
        "Bazinga! - This is Sheldon's catchphrase that he uses to indicate he was joking or playing a prank on someone."
    ],
    "current_status": "Sheldon is at the Cheesecake Factory"
}

Interesting observations in this demo

Here is a screenshot of a live demo using The Big Bang Theory example. From the conversation, we can observe three interesting points that have not been widely seen in previous systems:

1. Leonard remembered that Penny had asked him to persuade Sheldon to go for a hike, which shows the capability of some kind of memory.
2. Leonard changed his mind after Sheldon whispered to him and even tried to convince Penny to join the scientific effort, which shows that the agents had meaningful progress in the story even without human intervention.
3. All the responses are quite human-like. As a user, it's quite hard to tell whether it's actually an AI behind the responses.

References

1. https://arxiv.org/abs/2304.03442
2. https://python.langchain.com/en/latest/use_cases/agent_simulations/characters.html#create-a-generative-character