The complete super agent is being born

Written by
Clara Bennett
Updated on:July-11th-2025
Recommendation

Explore the future form of super agents in the AI ​​era and reveal their application prospects in various fields.

Core content:
1. The current status and development trend of the AI ​​Agent market
2. The architecture and functions of Quark Super Agent
3. Key factors and challenges in building an efficient agent

Yang Fangxian
Founder of 53AI/Most Valuable Expert of Tencent Cloud (TVP)
It is said that AI Agent will explode in the future, and 2025 will be the first year of Agent. But how will Agent explode? What kind of Agent can really be applied to solve problems in daily life? This is a question we have been exploring for more than a year.

Among the 400+ domestic and foreign agent-related companies we surveyed, 43% are engaged in Company Agents (toB agents focusing on cross-departmental enterprises) , 46% are engaged in Role-based Agents (agents focusing on a specific job function) , and 11% are researching Personal Agents (agents focusing on individuals) .

From the perspective of improving toB efficiency, Agent has penetrated into many scenarios in various industries and has gradually matured in the fields of marketing, sales, customer support, workflow automation and software development. Huang made a prediction at the CES conference in January this year, "In the future, the IT department of every company will become the HR department of Agent." We believe that in the near future, Agent will reshape SaaS and corporate structure.

What is even more exciting is the toC Agent. If the new application form in the AI ​​era is the Agent, then what will the Killer Agent and the next generation of super applications look like?

In our opinion, it must at least meet the three conditions of AI Native, achieving PMF, and having high daily activity and retention. After much searching, we finally saw the shadow of Super Agent on the brand new Quark.

From search box to AI super box

The mainstream definition of Agent in the industry is that Agent is a system that perceives the environment through user input, performs actions through the use of tools, and achieves cognitive capabilities through basic models combined with long-term and short-term memory.

Through the experience of the new Quark, we found that Quark is actually a super agent based on reasoning and multimodal models. The implementation architecture is not complicated. Specifically:

1. Based on multimodal capabilities, perceive the environment through interaction between the input box and the user.

2. Based on the capabilities of Alibaba's self-developed big model, planning is performed to intelligently identify user intent based on user input and delegate specific agents to respond.

3. Call different tools (Actions) to provide accurate answers based on different user needs and solve all user instructions in a targeted manner.

4. In the areas of academia, medical care, and education, it has a rich and reliable industry database and exclusive knowledge base, which serves as data memory and fills the gap in vertical field knowledge that the big model itself lacks.


In our research, we found that many researchers and developers are committed to enriching the architecture and interaction of agents, such as building multi-agent systems that communicate and collaborate with each other in the hope of solving complex problems. However, Anthropic mentioned their experience in the article "Building effective agents" published at the end of 24, "Successful agents do not lie in building the most complex systems, but in building systems that meet user needs. And only when simple solutions cannot meet the requirements, more components are added." This coincides with Jobs' product design philosophy "Simple can be harder than complex".

The same is true for Quark's upgrade this time - it seems to be a reduction, but in fact it enhances the user experience. Various functions are condensed into a super box, and one entrance can meet all the problems of users in learning, work and life.

The previous Quark was an excellent search engine and toolbox. Users explored the world and obtained information through the "search box" and interacted with the tools of various vertical scenarios through the GUI. The new Quark abandoned the traditional "search box" and upgraded it to the "AI Super Box", an all-round assistant. Not only has the interactive form become simpler, but it also uses Agentic capabilities to efficiently meet users' deep-seated needs.

Minimalist design, better experience
In the past two years, we have come into contact with too many novel and useful AI products. We have used or subscribed to different AI tools and switched between them on a daily basis. This has also created new pain points - it would be great if all AI functions could be efficiently implemented on one product. The new Quark Super Agent fills this gap.
Quark not only has an All-in-One product, but also an All-in-One AI super box. Users no longer need to click back and forth between product pages, but can meet all their needs in one box on the homepage.
We have mentioned a point in previous articles that LUI (Chat interaction) may not be the best interaction method in the GenAI era. The mainstream concept of UX design in the Internet era is Don't Make Me Think, but LUI requires users to constantly communicate with the machine, and to constantly think and express. For some more complex tasks, most users do not have the patience or even the ability to express their needs well, and they need to find an organic combination point with the GUI.
Quark has grasped the scale just right, and through an AI super-frame question and answer system, it has maximized the value of LUI and combined it with GUI to provide users with answers that integrate multimodal content.
For example, when I asked, "What should I do if I have a mouth ulcer?", the AI ​​Super Frame intelligently recognized my intention and routed it to the "Health Assistant" Agent to answer this question specifically. Quark also supports follow-up questions. Based on the generated answer, I asked, "Can I eat cherries?" The Agent also understood that I was asking, "Will eating cherries have any effect on me if I have a mouth ulcer?" and gave a pertinent and professional answer.
With the help of Quark Super Agent, users can ask fewer questions (the follow-up question function has built-in contextual memory) and get more efficient (no need to click on the web page to view, the results will be displayed directly) and more reliable (three-review and three-proofread medical knowledge base) answers.
For example, I asked Quark to "help me write a 2,000-word research report on Agent". The experience was very good because it not only intelligently delegated my needs to the AI ​​writing agent, but also popped up a GUI form automatically filled in by AI to let me confirm details such as the word count, title and outline.
I don’t know the true face of the Agent, just because I am in it
Why can NewQuark be called a super agent? What are its advantages and moats compared with other agent products?
In Ya Ge’s article a few days ago, it was mentioned that Agent products have three compound interest values, namely the compound interest superposition of tools, data and intelligence , and these three points are also the differential advantages that distinguish Quark from other Agents.
In terms of tool use , compared with many startups, Quark, backed by Alibaba, has been deeply involved in the fields of question search, AI raw image, PPT generation, AI resume, video summary, etc. in recent years, and rich tools are the only way for Agent to become super and universal; in terms of data (Database), Quark has cooperated with many authoritative domestic institutions in the fields of medical care, academia and education in recent years, and has exclusive rich data resources. From the perspective of long-term development, Quark's acquisition, organization and externalization of data complement the underlying model and development trend; in terms of intelligence (Model), Quark is based on a strong reasoning model, which can more efficiently and accurately schedule tools and knowledge base retrieval.
The closed loop of the product itself, coupled with the advantages of Alibaba's self-developed big model, has achieved coordinated evolution in the three dimensions of tools, data, and models, laying the foundation for Quark to become a super agent.

Wu Jia, CEO of Quark, said in a WeChat Moments yesterday: "Five years ago, Quark proposed to become an all-around assistant for young people, and we have been working hard for this. Today, with the accumulation of past products and the powerful capabilities of new models, my team and I feel that we can finally use a minimalist "AI super frame" to get infinitely close to this goal, which makes us very excited. Looking back on the past fifteen years, from Alibaba Cloud Search to UC Browser Search, and then to Quark, we hope that: New Quark can use an AI super frame to open the door to the user's AI world."
Currently, the Quark SuperAgent is still in its infancy, but the complete superagent is on the way.
Finally, I would like to end this article with the design concept of our cover image.