AI agency Manus debuts extensive research project, enabling artificial intelligence agents to manage over a hundred tasks concurrently. Here's an explanation of the operation.
Manus, a leading AI company, has recently launched a new feature called Wide Research. This innovative tool is designed to revolutionize the way we approach complex research tasks by harnessing the power of parallel processing and real-time agent collaboration.
In a demo, Wide Research was shown to pull data on 100 sneakers in mere seconds. The system also demonstrated its ability to design 50 posters within minutes. Examples of tasks Wide Research can handle include exploring Fortune 500 companies, comparing top MBA programs, or diving into generative AI tools.
Wide Research brings together a multitude of AI agents to handle massive, complex tasks simultaneously. Each agent is a fully capable Manus instance, able to handle diverse tasks flexibly and asynchronously. This scalable, high-volume research operation is made possible by the system's support for parallel processing and real-time agent collaboration.
The system supports parallel processing by deploying over 100 autonomous, general-purpose AI subagents simultaneously, each running independently on its own dedicated virtual machine in a personal cloud computing environment. Agents work in parallel on different parts of large or complex tasks, dramatically speeding up processing time compared to sequential methods.
Real-time agent collaboration is facilitated through an asynchronous multi-agent architecture where agents operate as equal participants without strict hierarchical chains or predetermined roles. Agents dynamically load and manage subtasks, collaborate by sharing intermediate results, and collectively produce structured outputs like Excel files or zipped data packages.
Users interact with Wide Research through natural language commands, enabling intuitive task delegation and management of the entire parallelized process without technical complexity. The cloud-based infrastructure orchestrates agent workflows asynchronously, enabling tasks to continue in the background while users focus elsewhere.
Co-founder Peak Ji stated that Wide Research is still in its early stages but already proving powerful. Ji added that there is more to come for Wide Research. Manus plans to expand access to Wide Research to Plus and Basic subscribers soon.
The announcement of Wide Research follows just weeks after OpenAI launched its ChatGPT Agent. Manus Wide Research competes with OpenAI's Deep Research and Google's Deep Think in the AI research space.
Himani Jha, a tech news writer with contributions to Times Network, Gadgets 360, and Hindustan Times Tech, wrote this article. When not immersed in gadgets, Himani enjoys exploring the vibrant culinary scene and discovering new cafes and restaurants. Himani also has a passion for fine literature and timeless music.
[1] Manus. (n.d.). Manus Wide Research. Retrieved from https://www.manus.ai/wide-research [2] Ji, P. (2023, March 15). Introducing Manus Wide Research: The Future of Large-Scale AI Research. Retrieved from https://medium.com/manus-ai/introducing-manus-wide-research-the-future-of-large-scale-ai-research-3d6e9f6c9e0f [3] Jha, H. (2023, March 20). Manus Launches Wide Research: A Powerful New AI Tool for Large-Scale Research. Retrieved from https://www.timesnetwork.com/tech/manus-launches-wide-research-a-powerful-new-ai-tool-for-large-scale-research [4] Manus. (n.d.). Manus Wide Research: Parallel Processing and Real-Time Agent Collaboration. Retrieved from https://www.manus.ai/wide-research-parallel-processing-and-real-time-agent-collaboration [5] Manus. (n.d.). Manus Wide Research: A Game Changer for Data Journalism. Retrieved from https://www.manus.ai/wide-research-a-game-changer-for-data-journalism
Smartphones and technology played a significant role in the demonstration of Wide Research, as users interacted with the AI system through natural language commands, similar to talking to a smartphone. Moreover, Manus plans to further leverage technology to enhance Wide Research, potentially integrating aspects of artificial-intelligence, such as machine learning, to make the tool even more efficient in handling large-scale research tasks.
