Universal Deep Research: Bring Your Own Model and Strategy

Peter Belcak, Pavlo Molchanov
8/29/2025
cs.AI

No official code found. Best implementation: NVlabs/UniversalDeepResearch (467 stars, last commit 2025-08-26). 1 more below.

Abstract

Deep research tools are among the most impactful and most commonly encountered agentic systems today. We observe, however, that each deep research agent introduced so far is hard-coded to carry out a particular research strategy using a fixed choice of tools. We introduce Universal Deep Research (UDR), a generalist agentic system that wraps around any language model and enables the user to create, edit, and refine their own entirely custom deep research strategies without any need for additional training or finetuning. To showcase the generality of our system, we equip UDR with example minimal, expansive, and intensive research strategies, and provide a user interface to facilitate experimentation with the system.

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Code Implementations(2)

MIT

A minimal practical implementation of NVIDIA's Universal Deep Research system. https://arxiv.org/abs/2509.00244

41PythonSep 14, 20251 years agoMIT

Code to accompany the Universal Deep Research paper (https://arxiv.org/abs/2509.00244)

46774CSS, ShellJul 11, 20251 years agoNOASSERTION
deep-researchdeep-research-agentinstruction-following

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Cite this paper

@article{belcak2025universal,
  title  = {Universal Deep Research: Bring Your Own Model and Strategy},
  author = {Peter Belcak and Pavlo Molchanov},
  year   = {2025},
  eprint = {2509.00244},
  archivePrefix = {arXiv},
  url    = {http://arxiv.org/abs/2509.00244v1}
}

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