The text discusses the concept of "deep agents," which are advanced AI models capable of handling complex tasks over extended periods, as opposed to "shallow" agents that lack depth in planning and execution. Deep agents, exemplified by applications like Claude Code, Manus, and Deep Research, utilize a detailed system prompt, a planning tool, sub-agents, and a file system to achieve this depth. These components enable the agents to manage context effectively, divide tasks among sub-agents, and utilize a file system for memory and collaboration. The text also introduces an open-source package called "deepagents" designed to facilitate the creation of custom deep agents for various verticals, incorporating key characteristics inspired by successful models like Claude Code. This package allows users to easily build tailored deep agents by providing customizable prompts, tools, and sub-agents, showcasing its application in a simple "deep research" agent example.