Deep agents take the basic LLM-and-tool loop of “shallow” agents and supercharge it with real planning, deep dives on topics, and long-horizon execution—so you’re not just asking the model to run through steps one by one, but actually plotting and following through on complex tasks.
You’re already seeing them in action in deep-research setups like OpenAI’s Deep Research and in coding assistants like Claude Code and Manus—proof that agents are leveling up from quick hacks to full-blown, multi-stage problem solvers.
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