Deep agents kick things up a notch from the usual “shallow” agents that just loop through LLM calls and tools without any real planning. While those simpler setups can handle quick hits, they tend to fizzle out on long-running or complex tasks.
What makes an agent “deep”? It’s all about the ability to dive into topics, draft multi-step plans, and carry them out over extended timelines. You’re already seeing them in action in deep research (think OpenAI’s Deep Research) and coding assistants like Claude Code and Manus.
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