Unleashing the power of AI Collaboration with Parallelized LLM Agent Actor Trees

The Actor Model of Concurrency is a powerful paradigm for managing concurrent computation, making it an ideal foundation for Agent Actors. This solution enables developers to create and manage trees of AI agents that collaborate on complex tasks using the Actor Model of Concurrency. Key features include Time Weighted Long-Term Memory, Synthesized Working Memory, Plan-Do-Check-Adjust (PDCA) Framework, Automatic Planning and Task Distribution, Parallel Execution of Agents, and Customizable AI Agent Trees. The possibilities unlocked by this approach include divide and conquer agent task execution, research and reporting teams of agents, simulation-driven organizational behavior research, and developer teams of AutoGPTs coding for you.