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WeAgent-MMSearch

WeAgent-MMSearch — Native Text–Vision Interaction for Multimodal Search Agents

WeAgent-MMSearch is Native Text–Vision Interaction for Multimodal Search Agents. It is ranked #345 on the AI Radar, in AI agents, first seen 1 h ago and shared in 1 post (1.6k views).

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WeAgent-MMSearch | Native Text–Vision Interaction WeAgent-MMSearch: Native Text–Vision Interaction for Multimodal Search Agents Zongkai Liu¹˒² Hui Zhang¹ Liqiang Niu¹ ,‡ Zhen Cao¹ Han Li¹ Juntao Liu¹ Wenchao Chen¹ Chengduo Zhao¹ Chao Yu² Fandong Meng¹ ,† ¹ Weixin AI, Tencent ² Sun Yat-sen University ‡ Project Lead † Corresponding author Report HuggingFace Benchmark performance of WeAgent-MMSearch. The RL model reaches a 55.97% average across seven public benchmarks and VisTarget-Bench. Abstract Multimodal search agents extend parametric knowledge with newly emerging and long-tail evidence from the open web. Yet many existing agentic search…

What people said about WeAgent-MMSearch on X

Search it. See it. Keep reasoning with it. 👀 That last part is harder than it sounds. In many search-agent setups, images retrieved along the way are not preserved in the model’s later context. As a result, a seemingly multimodal search trajectory can gradually collapse back into text-only reasoning.…

@Weixin_WeChat, 1 h ago · 12 likes · see the post

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FAQ

What is WeAgent-MMSearch?

Native Text–Vision Interaction for Multimodal Search Agents It was first shared on X 1 h ago and is ranked #345 on the AI Radar.

Is WeAgent-MMSearch free?

Pricing is not stated on the page we read.

Who shared WeAgent-MMSearch?

1 account on X, including @Weixin_WeChat, in 1 post totalling 1.6k views.

Every post is read and classified by Jev (TypeSafe): what it is, which market it belongs to, and whether the link is a real tool. 38.3k posts from 5k X accounts over the last 14 days, 1.6k tools, 19 markets. Collected every 5 minutes, fully re-ranked every hour — last update 2026-09-21 11:06 UTC. Full method.