What Makes Deep Agents Different?
Traditional “shallow” agents just run LLM calls in a loop, tugging on tools but never really planning ahead—so they fizzle out on complex, long-haul tasks. Deep agents, by contrast, actually dive into a topic, map out multi-step strategies and stay on track over extended timelines.
You’ll see deep agents popping up in serious research (think OpenAI’s Deep Research) and in coding helpers (like Claude Code or Manus), where planning, context-tracking and sustained execution really matter.
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