Teenage AGI

It is a Python-based project called Teenage-AGI that enhances an AI agent's capabilities by giving it memory and the ability to "think" before generating responses.

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Teenage AGI AI Agent Competitors

It is a Python-based project called Teenage-AGI that enhances an AI agent’s capabilities by giving it memory and the ability to “think” before generating responses. The project is inspired by Auto-GPT-related initiatives, particularly BabyAGI, and the research paper “Generative Agents: Interactive Simulacra of Human Behavior.” It utilizes OpenAI and Pinecone to enable the AI to retain memories even after shutdown, as memories are stored in Pinecone, and a memory_counter tracks the index of stored data. The AI can process user queries by incorporating “read” and “think” commands, allowing users to feed information or insert memories into the agent. The system can be run in an isolated container using docker-compose. Currently, the AI, powered by GPT-4, demonstrates the ability to remember its name and characteristics, maintaining coherent conversations without a context window. The project was developed by a first-year USC student and founder of the startup DSNR, who was inspired by the idea of simulating internal thought processes similar to human cognition. The creator acknowledges contributions from @yoheinakajima and the team behind the “Generative Agents” paper. The project is hosted on GitHub under the repository seanpixel/Teenage-AGI, where users can explore its code, updates, and usage instructions.

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Teenage-AGI

It is a Python-based project called Teenage-AGI that enhances an AI agent's capabilities by giving it memory and the ability to "think" before generating responses.

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