WebThinker

Deep research agent that gives large reasoning models autonomous search, web browsing and report drafting.

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Setup steps are in the repository. Website · Repository

About

WebThinker is a deep research agent from Renmin University's NLPIR group that equips large reasoning models with autonomous web search, web browsing and research report drafting. The project publishes WebThinker models based on QwQ-32B and on R1-class 7B, 14B and 32B sizes on Hugging Face, and supports Google Serper for search. The repository carries an MIT license badge and sits within a wider family of deep research agents.

Use cases: research, deep-research, web-search

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Fact sheet

Jobs: researchREADME
Autonomy: Autonomous: runs tasks end to end and reports backREADME
Hosting: You run itREADME
Models: webthinker-qwq-32b, webthinker-r1-7b, webthinker-r1-14b, webthinker-r1-32bREADME
Open source: YesREADME

Facts extracted by Claude Haiku 5.5 from the linked sources on Oct 24, 2026. Wrong fact? Tell us.

Signals

Stars: 1,471
Forks: 139
Open issues: 9
Last commit: Dec 8, 2025 (10 months ago)

From GitHub (fetched Oct 24, 2026).

Details

License: MIT
Repository: github.com/RUC-NLPIR/WebThinker
Website: foremost-beechnut-8ed.notion.site/WebThinker-Empowering-Large-Reasoning-Models-with-Deep-Research-Capability-d13158a27d924a4b9df7f9ab94066b64
First seen: Oct 24, 2026
Last checked: Oct 24, 2026
Source: README github-graphql

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Cite this page

WebThinker. Agent Mart. https://agentmart.dev/agents/webthinker (last updated 2026-10-24)