Papers
arxiv:2509.00244

Universal Deep Research: Bring Your Own Model and Strategy

Published on Aug 29
· Submitted by pbelcak on Sep 3
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Abstract

Universal Deep Research (UDR) is a flexible system that allows users to customize deep research strategies using any language model without additional training or fine-tuning.

AI-generated summary

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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Paper submitter

Deep research strategies do not have to be fixed by model pre-training or the agent's design -- they can be specified by the user. This work explores the possibility of customizing this popular class of agents by programming their research strategies in natural language.

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