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Deep agents
AI agents built for long, complex tasks that a simple agent cannot complete. They rely on four elements: very detailed instructions, a tool for planning the work in steps, the ability to hand parts of the task to sub-agents, and a file system for saving notes and results. The term was proposed in 2025 by LangChain, which also uses it for its Deep Agents library; the examples it cites include Claude Code, Deep Research and Manus.
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