Autonomous Agents & Agent Simulations

The research strategy was the one we have followed through the whole history of A.I. and cognitive science: As we gain an understanding of simpler processes and task domains, we tackle more complex ones. So, in the past ten years, I have moved on to learning processes; to problem representation, including imagery; and to the processes of scientific

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📖 Introduction

XAgent is an open-source experimental Large Language Model (LLM) driven autonomous agent that can automatically solve various tasks. It is designed to be a general-purpose agent that can be applied to a wide range of tasks. XAgent is still in its early stages, and we are working hard to improve it.

🏆 Our goal is to create a super-in... See more

“ The agent runs in a loop of Thought, Action, Observation, Thought, ... The Thought and Action (with the Action Input to the action) are the parts which are generated by an LLM The Observation is generated by using a tool (for example the print outputs of Python or the text result of a Google search)”

Really neat to see the parallels to OODA loops,... See more