For the past four months, we’ve been developing a framework that allows the creation of autonomous AI agents without programming.
Inspired by the control unit in classical processors and Von Neumann architecture, we see LLMs as complex ALUs but lacking a unit for handling complex prompt sequences, including loops. We implemented a prompt that acts as the central executive system, managing memory, directing attention, code interpreting, decision making and more.
This enables you to build any agent interactions like chains, graphs, dynamic prompts, loops, and apply various reasoning structures for each agent in minutes without programming.
Inspired by the control unit in classical processors and Von Neumann architecture, we see LLMs as complex ALUs but lacking a unit for handling complex prompt sequences, including loops. We implemented a prompt that acts as the central executive system, managing memory, directing attention, code interpreting, decision making and more.
This enables you to build any agent interactions like chains, graphs, dynamic prompts, loops, and apply various reasoning structures for each agent in minutes without programming.