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General-purpose agents

U Shenyan

Transliterated name · original name retained below

Profile
Stable identifier
UB-D8733
Country
Not available
Source record updated
Oct 27, 2026
Snapshot captured
Oct 28, 2026
English updated
Oct 28, 2026

This is a phonetic rendering with translated legal or business terms, not a supplied official English name.

Original name

U 深研

Translation dates do not change the dates of the underlying facts.

Overview

U Deepin Research is a free in-depth research product launched by deep search manufacturer UniFuncs. It uses original dynamic planning + edge searching and pushing technology. At the same time, it provides a logical link reference for open thinking chains. Based on the domestic model base drive, efficient exploration and research of the problem. Compared with the traditional "planning before research", U deep research has higher flexibility. Dynamic planning solves the problem of misdirection and step by step, while pushing while searching realizes the collation and advancement of multiple clues, and solves the single-line logic of many in-depth research products to solve problems rather than "research" to solve problems. By imitating human thinking, disassembling problems, gradually expanding the breadth from shallow to deep, and conducting multi-clue research at the same time, collecting data through real-time search/in-depth reading, reviewing and reasoning about existing information in a timely manner. In these processes, the knowledge richness is gradually improved and reliable clues are strengthened, and "flood discharge" release is carried out in the final reporting stage.

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Sources & provenance

English text is maintained separately from the original record. Consult the original source before citing a fact.

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Original source text

Names may use phonetic renderings when no English name is supplied. The original wording is retained below.

U深研是由深度搜索厂商UniFuncs推出的免费深度研究产品,采用独创的动态规划+边搜边推技术,同时开放思维链提供了逻辑链路参考。基于国产模型底座驱动,高效的进行问题的探索与研究。相较传统的“先计划后研究”,U深研具备更高的灵活性,动态规划很好的解决了方向错步步错的问题,边搜边推则实现了多线索的整理与推进,解决了许多深度研究产品为解决问题而解决问题而非“研究”的单线逻辑。通过模仿人类思维,拆解问题,由浅入深,逐渐拓宽广度,并同时进行多线索调研,通过实时搜索/深度阅读收集资料,及时对现有信息进行回顾与推理,这些过程中逐渐提升知识丰度和强化可靠线索,在最终报告阶段进行“泄洪式”释放。