Teenage-AGI
Autonomous agent based on Python that uses GPT-4 and Pinecone for memory and contextual reasoning.
Description
The goal of the project is to create an autonomous agent inspired by BabyAGI and the paper "Generative Agents: Interactive Simulacra of Human Behavior."
The agent's audience includes users who require tools for personal assistance, customer service automation, training, or interactive storytelling.
The agent uses the GPT-4 model for natural language processing and Pinecone for memory storage, which allows it to maintain context and make inferences before generating a response.
Functionality includes the ability to read information and perform reasoning, as well as saving the agent's thoughts for later use.
The agent is capable of remembering previous interactions and outputting results, even after the system is stopped, thanks to data storage in Pinecone.
Access to the project is provided through cloning the repository and installing necessary packages using pip, as well as running in a container using docker-compose.
