# Abstract

Agent swarms are a particular area of excitement in AI. Agents collaborating to achieve shared outcomes represents a logical next step in unlocking the true potential of AI and 2025 has been referred to as the “Year of Agents” by industry leading figures.

OpenAI in 2024 released experimental frameworks that enable us to explore how early AI agent swarms can manage multiple tasks simultaneously and make quick, informed, and data-based decisions. Their upcoming autonomous AI agent that can control computers and perform tasks independently, code-named “Operator”, will no doubt change the face of human/AI interactions once more in 2025.

Likewise, hierarchy in agent swarms sits at the bleeding edge of AI innovation, adding structure to how agents interact and coordinate their efforts. Instead of coordinated agent swarms operating in a flat formation, agents are arranged in levels or roles, with higher level agents typically overseeing or directing lower level agents.

The Shadō Network project exists as a collection of open source frameworks that expand possibilities for AI agents, task management, agent swarms and their operational hierarchies.