BabyAGI is an experimental framework designed for creating self-building autonomous agents, focusing on task planning and function management. The primary purpose of this project is to enable developers to explore the capabilities of autonomous agents that can construct themselves by leveraging a simple yet effective function framework called functionz. Targeted at experienced developers and AI enthusiasts, BabyAGI addresses the challenge of building general autonomous agents by simplifying the process of function registration, dependency management, and execution tracking. The project is built using Python and utilizes various libraries for function management and logging, making it suitable for experimentation in the AI domain.
To get started with BabyAGI, follow these installation instructions:
Install BabyAGI:
pip install babyagi
Import BabyAGI and load the dashboard:
import babyagi
if __name__ == "__main__":
app = babyagi.create_app('/dashboard')
app.run(host='0.0.0.0', port=8080)
Access the dashboard:
Open your browser and navigate to http://localhost:8080/dashboard
to interact with the BabyAGI dashboard.
requirements.txt
file if provided.openai_api_key
, through the dashboard or code.Here’s a basic example of how to register and execute functions:
import babyagi
@babyagi.register_function()
def world():
return "world"
@babyagi.register_function(dependencies=["world"])
def hello_world():
return f"Hello {world()}!"
print(babyagi.hello_world()) # Output: Hello world!
For more detailed documentation, refer to the API Reference section in the project.
BabyAGI is designed for experimentation and exploration in the realm of autonomous agents, making it a valuable tool for developers interested in AI and function-based programming.