A blueprint for autonomous brokers in an Agentic Mesh ecosystem
Current huge funding by tech giants nearly assure that an ecosystem of autonomous brokers will quickly be upon us. However what’s an “autonomous agent”?
Sebastian Thielke, Platform Economics Lead at AWS, describes it like this (paraphrasing): “An autonomous agent reacts to environmental stimuli, is proactive in pursuit of a objective(s), has social interplay capabilities, and might constantly study and enhance”. Wikipedia provides the same definition: “autonomous brokers are computational techniques that inhabit some advanced dynamic atmosphere, sense and act autonomously on this atmosphere, and by doing so understand a set of targets or duties for which they’re designed.” And in a earlier article, I provided the next definition which I believe captures each earlier definitions: autonomous brokers use agentic AI (refined reasoning and iterative planning) to independently plan and execute duties.
With that out of the way in which, I need to get to the first focus of this text: What does an autonomous agent (hereinafter referred to as an “agent”) structure seem like, and what are its main elements? What capabilities should be in place to create a “good” agent that may plan and execute duties? And since no agent stands alone however relatively works…