3 Sources
[1]
OpenAI-Challenger Manus Preps Big Upgrade to Main Agent Platform
Chinese-founded startup Manus is rolling out a feature that allows broad research by assigning tasks to scores of AI agents working in tandem, in potentially the biggest update since launching its signature artificial intelligence platform in March. The function, called Wide Research, will enable Manus to process large numbers of data entries simultaneously by roping in multiple AI agents, according to people familiar with its tech development. The tool will become available as soon as this week, the people said, starting with a top-tier subscription priced at $199 a month.
[2]
Manus Unveils AI Research Features to Take on OpenAI Service
Chinese-founded startup Manus showed off a feature Thursday that speeds up research by assigning tasks to scores of AI agents working in tandem, touting its biggest update since its March debut. The function, called Wide Research, processes large numbers of data entries simultaneously by roping in multiple AI agents. It will be made available immediately for paid Pro customers with plans to roll out to other users gradually. Users will be able to perform some tasks that other similar tools like OpenAI's Deep Research could struggle with, Manus said, such as ranking the top MBA programs or comparing dozens of different products.
[3]
You've heard of AI 'Deep Research' tools...now Manus is launching 'Wide Research' that spins up 100+ agents to scour the web for you
Want smarter insights in your inbox? Sign up for our weekly newsletters to get only what matters to enterprise AI, data, and security leaders. Subscribe Now Chinese AI startup Manus, which made headlines earlier this year for its approach to a multi-agent orchestration platform for consumers and "pro"-sumers (professionals wanting to run work operations), is back with an interesting new use of its technology. While many other major rival AI providers such as OpenAI, Google, and xAI that have launched "Deep Research" or "Deep Researcher" AI agents that conduct minutes or hours of extensive, in-depth web research and write well-cited, thorough reports on behalf of users, Manus is taking a different approach. The company just announced "Wide Research," a new experimental feature that enables users to execute large-scale, high-volume tasks by leveraging the power of parallelized AI agents -- even more than 100 at a single time, all focused on completing a single task (or series of sub-tasks laddering up said overarching goal). Manus was previously reported to be using Anthropic Claude and Alibaba Qwen models to power its platform. In a video posted on the official X account, Manus co-founder and Chief Scientist Yichao 'Peak' Ji shows a demo of using Wide Research to compare 100 sneakers. To complete the task, Manus Wide Research nearly instantly spins up 100 concurrent subagents -- each assigned to analyze one shoe's design, pricing, and availability. The result is a sortable matrix delivered in both spreadsheet and webpage formats within minutes. The company suggests Wide Research isn't limited to data analysis. It can also be used for creative tasks like design exploration. In one scenario, Manus agents simultaneously generated poster designs across 50 distinct visual styles, returning polished assets in a downloadable ZIP file. According to Manus, this flexibility stems from the system-level approach to parallel processing and agent-to-agent communication. In the video, Peak explains that Wide Research is the first application of an optimized virtualization and agent architecture capable of scaling compute power 100 times beyond initial offerings. The feature is designed to activate automatically during tasks that require wide-scale analysis, with no manual toggles or configurations required. Wide Research is available starting today for users on Manus Pro plan and will gradually become accessible to those on the Plus and Basic plans. As of now, subscription pricing for Manus is structured as follows per month. There's also a 17% discount on these prices for users who wish to pay up-front annually. The launch builds on the infrastructure introduced with Manus earlier this year, which the company describes as not just an AI agent, but a personal cloud computing platform. Each Manus session runs on a dedicated virtual machine, giving users access to orchestrated cloud compute through natural language -- a setup the company sees as key to enabling true general-purpose AI workflows. With Wide Research, Manus users can delegate research or creative exploration across dozens or even hundreds of subagents. Unlike traditional multi-agent systems with predefined roles (such as manager, coder, or designer), each subagent within Wide Research is a fully capable, fully featured Manus instance -- not a specialized one for a specific role -- operating independently and able to take on any general task. This architectural decision, the company says, opens the door to flexible, scalable task handling unconstrained by rigid templates. The implication seems to be that running all these agents in parallel is faster and will result in a better and more varied set of work products beyond research reports, as opposed to the single "Deep Research" agents other AI providers have shown or fielded. But while Manus promotes Wide Research as a breakthrough in agent parallelism, the company does not provide direct evidence that spawning dozens or hundreds of subagents is more effective than having a single, high-capacity agent handle tasks sequentially. The release does not include performance benchmarks, comparisons, or technical explanations to justify the trade-offs of this approach -- such as increased resource usage, coordination complexity, or potential inefficiencies. It also lacks details on how subagents collaborate, how results are merged, or whether the system offers measurable advantages in speed, accuracy, or cost. As a result, while the feature showcases architectural ambition, its practical benefits over simpler methods remain unproven based on the information provided. While Manus's implementation of Wide Research is positioned as an advancement in general AI agent systems, the broader ecosystem has seen mixed results with similar subagent approaches. For example, on Reddit, self-described users of Claude's Code have raised concerns about its subagents being slow, consuming large volumes of tokens, and offering limited visibility into execution. Common pain points include lack of coordination protocols between agents, difficulties in debugging, and erratic performance during high-load periods. These challenges don't necessarily reflect on Manus's implementation, but they highlight the complexity of developing robust multi-agent frameworks. Manus acknowledges that Wide Research is still experimental and may come with some limitations as development continues. With the rollout of Wide Research, Manus deepens its commitment to redefining how users interact with AI agents at scale. As other platforms wrestle with the technical challenges of subagent coordination and reliability, Manus's approach may serve as a test case for whether generalized agent instances -- rather than narrowly scoped modules -- can deliver on the vision of seamless, multi-threaded AI collaboration. The company hints at broader ambitions, suggesting that the infrastructure behind Wide Research lays the groundwork for future offerings. Users and industry watchers alike will be paying close attention to whether this new wave of agent architecture can live up to its potential -- or whether the challenges seen elsewhere in the AI space will eventually catch up.
Share
Copy Link
Chinese AI startup Manus introduces 'Wide Research', a groundbreaking feature that utilizes multiple AI agents for parallel processing of large-scale tasks, challenging competitors like OpenAI in the AI research tools market.
Chinese AI startup Manus has unveiled a groundbreaking feature called 'Wide Research', marking its most significant update since the platform's launch in March. This innovative tool allows users to conduct extensive research by assigning tasks to multiple AI agents working simultaneously, potentially revolutionizing the way complex tasks are handled in the AI space 12.
Source: VentureBeat
Wide Research leverages the power of parallelized AI agents, with the capability to deploy over 100 agents at once for a single task or series of sub-tasks. This approach differs from the 'Deep Research' or 'Deep Researcher' AI agents offered by competitors like OpenAI, Google, and xAI, which typically focus on in-depth, sequential research 3.
The system can automatically activate during tasks requiring wide-scale analysis, with no need for manual configuration. Each subagent within Wide Research is a fully capable Manus instance, able to take on any general task rather than being limited to specialized roles 3.
Manus demonstrated the versatility of Wide Research through various examples:
Product Comparison: The system can analyze 100 sneakers simultaneously, with each subagent assigned to evaluate one shoe's design, pricing, and availability. The result is a sortable matrix delivered in both spreadsheet and webpage formats within minutes 3.
Creative Tasks: Wide Research can generate poster designs across 50 distinct visual styles concurrently, producing polished assets in a downloadable ZIP file 3.
Source: Bloomberg Business
Wide Research builds on Manus's existing infrastructure, which the company describes as a personal cloud computing platform. Each Manus session runs on a dedicated virtual machine, allowing users to access orchestrated cloud compute through natural language interactions 3.
Yichao 'Peak' Ji, Manus co-founder and Chief Scientist, explained that Wide Research is the first application of an optimized virtualization and agent architecture capable of scaling compute power 100 times beyond initial offerings 3.
Wide Research is now available for users on the Manus Pro plan, priced at $199 per month. The company plans to gradually roll out the feature to Plus and Basic plan subscribers 123.
While Manus promotes Wide Research as a breakthrough in agent parallelism, the company has not provided direct evidence that spawning multiple subagents is more effective than using a single, high-capacity agent for sequential task handling. The release lacks performance benchmarks, comparisons, or technical explanations to justify the trade-offs of this approach 3.
Additionally, the broader ecosystem has seen mixed results with similar subagent approaches. Users of comparable systems have reported issues such as slow performance, high token consumption, and limited visibility into execution 3.
Manus's introduction of Wide Research positions the company as a strong challenger to established players like OpenAI in the AI research tools market. The company claims that its new feature can perform some tasks that other similar tools might struggle with, such as ranking top MBA programs or comparing dozens of different products 2.
As the AI industry continues to evolve rapidly, Manus's innovative approach to research and task execution could potentially reshape user expectations and drive further advancements in the field of AI-powered productivity tools.
OpenAI raises $8.3 billion in a new funding round, valuing the company at $300 billion. The AI giant's rapid growth and ambitious plans attract major investors, signaling a significant shift in the AI industry landscape.
10 Sources
Business and Economy
16 hrs ago
10 Sources
Business and Economy
16 hrs ago
Major tech companies are investing unprecedented amounts in AI infrastructure, with combined spending expected to reach $344 billion in 2025. This massive expenditure reflects the intense competition and fear of missing out in the rapidly evolving AI landscape.
3 Sources
Business and Economy
8 hrs ago
3 Sources
Business and Economy
8 hrs ago
Microsoft co-founder Bill Gates expresses surprise at AI's rapid advancement and discusses its potential to replace human workers, highlighting the uncertainty surrounding the timeline for this transition.
2 Sources
Technology
45 mins ago
2 Sources
Technology
45 mins ago
Thousands of US export license applications, including high-profile AI chip exports to China, are facing significant delays due to turmoil at the Commerce Department's Bureau of Industry and Security.
3 Sources
Business and Economy
16 hrs ago
3 Sources
Business and Economy
16 hrs ago
AI startups are experiencing unprecedented growth with record-breaking investments and strategic acquisitions, signaling a robust market despite economic uncertainties.
2 Sources
Startups
44 mins ago
2 Sources
Startups
44 mins ago