Not One, But 100: Manus's Wide Research Is a Direct Hit on the AI Elite
Broad Research is not an improvement; it's a revolution. Introduced on July 31, 2025, this new tool enables users to execute more than 100 general-purpose AI agents at once, each operating individually but in collaboration. The platform can execute enormous-scale tasks like product analysis web scraping , report generation, and even creative content generation - all simultaneously. Manus isn't fitting pre-defined functions to these agents. All are a complete powered incarnation of its Manus AI that can do anything a user can think of, with no hierarchy or pre-established constraints.As opposed to conventional multi-agent systems , which tend to be based on strict delegation or chain-of-thought protocols, Wide Research designs every agent as an equal participant operating on its own virtual machine. This architecture is fault-tolerant and parallel-efficient - if an agent crashes, others carry on without interruption. The system loads tasks automatically into the swarm, manages asynchronous workflows, and collects results in forms usable on the spot: Excel files, HTML documents, ZIP files, and more.In live demos, Manus demonstrated how Wide Research could compare 100 sneaker styles in parallel - each agent a single shoe - delivering full product comparisons within less than five minutes. In a second test, it produced 50 graphic poster designs, exported them, and zipped them for downloading - efforts that would take days of human design time. This performance jump has caught the eyes of verticals across: e-commerce, R&D, data journalism, marketing, and university research are all potential goldmines for Wide Research's potential.But it's not about speed or automation - it's about rethinking how work gets imagined and done. Broad Research reimagines AI as a task force, not just a tool. It enables a single individual to efficiently use a virtual team of 100 tireless, always-on co-workers. Think of requesting 100 researchers to gather data on rivals, trends, pricing, and product reviews - without meetings, HR roadblocks, or payroll checks.Of course, there are qualifiers. Manus hasn't released extensive benchmarks comparing Wide Research with other platforms such as Deep Research . How resource-hungry is it, and if web-scraping is involved, whether output quality from agent 99 is as sound as agent 1 are unknowns. There are also concerns, legitimate ones, regarding hallucinations and accuracy of the data - particularly when web-scraping comes into play. Quality control will still be an added layer, at least until then.Nevertheless, the strategic message is clear as day: this is Manus into battle with the giants. Democratizing multi-agent parallelism is making a distinctive offer in a sector where monolithic intelligence has been in charge. Wide Research isn't following the herd. It's rewriting the rules. And if it delivers on scalability and reliability, Manus could have just put itself in the frame as the AI platform that achieves in minutes what others achieve in days.
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Economic Times
5 days ago
- Economic Times
Not One, But 100: Manus's Wide Research Is a Direct Hit on the AI Elite
Broad Research is not an improvement; it's a revolution. Introduced on July 31, 2025, this new tool enables users to execute more than 100 general-purpose AI agents at once, each operating individually but in collaboration. The platform can execute enormous-scale tasks like product analysis, web scraping, report generation, and even creative content generation - all simultaneously. Manus isn't fitting pre-defined functions to these agents. All are a complete powered incarnation of its Manus AI that can do anything a user can think of, with no hierarchy or pre-established constraints. As opposed to conventional multi-agent systems, which tend to be based on strict delegation or chain-of-thought protocols, Wide Research designs every agent as an equal participant operating on its own virtual machine. This architecture is fault-tolerant and parallel-efficient - if an agent crashes, others carry on without interruption. The system loads tasks automatically into the swarm, manages asynchronous workflows, and collects results in forms usable on the spot: Excel files, HTML documents, ZIP files, and more. In live demos, Manus demonstrated how Wide Research could compare 100 sneaker styles in parallel - each agent a single shoe - delivering full product comparisons within less than five minutes. In a second test, it produced 50 graphic poster designs, exported them, and zipped them for downloading - efforts that would take days of human design time. This performance jump has caught the eyes of verticals across: e-commerce, R&D, data journalism, marketing, and university research are all potential goldmines for Wide Research's it's not about speed or automation - it's about rethinking how work gets imagined and done. Broad Research reimagines AI as a task force, not just a tool. It enables a single individual to efficiently use a virtual team of 100 tireless, always-on co-workers. Think of requesting 100 researchers to gather data on rivals, trends, pricing, and product reviews - without meetings, HR roadblocks, or payroll checks. Of course, there are qualifiers. Manus hasn't released extensive benchmarks comparing Wide Research with other platforms such as Deep Research. How resource-hungry is it, and if web-scraping is involved, whether output quality from agent 99 is as sound as agent 1 are unknowns. There are also concerns, legitimate ones, regarding hallucinations and accuracy of the data - particularly when web-scraping comes into play. Quality control will still be an added layer, at least until then. Nevertheless, the strategic message is clear as day: this is Manus into battle with the giants. Democratizing multi-agent parallelism is making a distinctive offer in a sector where monolithic intelligence has been in charge. Wide Research isn't following the herd. It's rewriting the rules. And if it delivers on scalability and reliability, Manus could have just put itself in the frame as the AI platform that achieves in minutes what others achieve in days.
Time of India
5 days ago
- Time of India
Not One, But 100: Manus's Wide Research Is a Direct Hit on the AI Elite
Live Events Broad Research is not an improvement; it's a revolution. Introduced on July 31, 2025, this new tool enables users to execute more than 100 general-purpose AI agents at once, each operating individually but in collaboration. The platform can execute enormous-scale tasks like product analysis web scraping , report generation, and even creative content generation - all simultaneously. Manus isn't fitting pre-defined functions to these agents. All are a complete powered incarnation of its Manus AI that can do anything a user can think of, with no hierarchy or pre-established opposed to conventional multi-agent systems , which tend to be based on strict delegation or chain-of-thought protocols, Wide Research designs every agent as an equal participant operating on its own virtual machine. This architecture is fault-tolerant and parallel-efficient - if an agent crashes, others carry on without interruption. The system loads tasks automatically into the swarm, manages asynchronous workflows, and collects results in forms usable on the spot: Excel files, HTML documents, ZIP files, and live demos, Manus demonstrated how Wide Research could compare 100 sneaker styles in parallel - each agent a single shoe - delivering full product comparisons within less than five minutes. In a second test, it produced 50 graphic poster designs, exported them, and zipped them for downloading - efforts that would take days of human design time. This performance jump has caught the eyes of verticals across: e-commerce, R&D, data journalism, marketing, and university research are all potential goldmines for Wide Research's it's not about speed or automation - it's about rethinking how work gets imagined and done. Broad Research reimagines AI as a task force, not just a tool. It enables a single individual to efficiently use a virtual team of 100 tireless, always-on co-workers. Think of requesting 100 researchers to gather data on rivals, trends, pricing, and product reviews - without meetings, HR roadblocks, or payroll course, there are qualifiers. Manus hasn't released extensive benchmarks comparing Wide Research with other platforms such as Deep Research . How resource-hungry is it, and if web-scraping is involved, whether output quality from agent 99 is as sound as agent 1 are unknowns. There are also concerns, legitimate ones, regarding hallucinations and accuracy of the data - particularly when web-scraping comes into play. Quality control will still be an added layer, at least until the strategic message is clear as day: this is Manus into battle with the giants. Democratizing multi-agent parallelism is making a distinctive offer in a sector where monolithic intelligence has been in charge. Wide Research isn't following the herd. It's rewriting the rules. And if it delivers on scalability and reliability, Manus could have just put itself in the frame as the AI platform that achieves in minutes what others achieve in days.
Indian Express
03-08-2025
- Indian Express
What is Wide Research, Manus' new multi-agent AI tool to take on OpenAI and Google?
Manus, an AI startup with roots in China, has announced a new feature that ropes in scores of AI agents in order to carry out complex, large-scale tasks that require information on hundreds of items. The feature known as Wide Research is designed to make deep, high-volume research effortless, Manus said in its announcement blog post published on Thursday, July 31. It is said to be the company's most significant launch since its debut in March this year. Wide Research is seen as Manus' answer to similar research-focused AI features and tools introduced by US rivals such as OpenAI's Deep Research and Google's Deep Think. It also comes weeks after OpenAI's ChatGPT Agent made its debut. 'With the launch of Wide Research, Manus unlocks a powerful new way for users to tackle complex, large-scale tasks that require information on hundreds of items,' Manus said. 'Wide Research marks a milestone in our exploration of the scaling laws of AI agents, but it's just the beginning. The infrastructure behind it is part of something much bigger we're building,' it added. The newly unveiled feature will be immediately available for paid Pro customers, with plans to roll out to Plus and Basic tier users in the future. Wide Research is the first feature rolled out by Manus that has been built on top of its large-scale virtualization infrastructure and highly efficient agent architecture which reportedly took 'months of optimisation'. 'At its core, Wide Research is a system-level mechanism for parallel processing, and a protocol for agent-to-agent collaboration,' the company said. Wide Research differs from other multi-agent systems such as specialised AI agent managers or coding assistants because the multiple AI agents that carry out the tasks are general-purpose. 'This generality unlocks flexibility: tasks are not constrained to rigid formats or predefined domains. In practice, the only real limit is your imagination,' Manus said. In a video posted on X, Manus co-founder Peak Ji demonstrated how Wide Research can be used to quickly conduct research on 100 different sneakers simultaneously or create 50 different poster designs in a matter of minutes. According to Manus, users will be able to perform deep, high-volume research tasks such as exploring Fortune 500 companies, comparing top MBA programs, or diving into generative AI tools. However, Ji also said that Wide Research is still in the experimental phase and warned that it may come with certain limitations. Manus made a splash in the AI landscape earlier this year with the launch of its general-purpose AI agent that is capable of autonomously carrying out web-based tasks such as creating trip itineraries in response to basic prompts. In June this year, the company released its own AI video generator. Manus' AI features are reportedly wrapped around other large language models like Anthropic's Claude. 'Behind every Manus session runs a dedicated cloud-based virtual machine, allowing users to orchestrate complex cloud workloads — simply by talking to an agent,' the company said. 'From generating tailored rental presentations to safely evaluating cutting-edge open-source projects in a secure sandbox, the Turing-completeness of the virtual machine is what gives Manus its generality — and opens the door to endless creative possibilities,' it added. Manus recently shifted its operations out of China to Singapore, Tokyo and San Mateo, California. It currently does not offer its AI products and tools in China, according to a report by Bloomberg. Recently, the AI startup raised $75 million in a funding round led by US venture firm Benchmark. Its early investors include Chinese tech giants such as Tencent as well as HSG (formerly Sequoia China) and ZhenFund.
