What if there was a tool that didn’t just assist you but completely redefined how you approach complex tasks? Imagine a system that could seamlessly browse the web for critical data, write detailed reports, and even build custom tools on the fly, all while collaborating with specialized agents designed to tackle specific challenges. Enter the Deep Research Agent, a new innovation by Skywork AI. This isn’t just another AI framework; it’s a multi-agent powerhouse that combines innovative models, dynamic tool creation, and unparalleled adaptability to handle tasks with precision and efficiency. Whether you’re a researcher, developer, or strategist, this system promises to transform how you work.

Prompt Engineering explain the intricate architecture behind the Deep Research Agent, including its Agent Orchestra framework, which enables seamless collaboration between specialized agents. You’ll discover how this open source tool doesn’t just solve problems but evolves to meet unique challenges by creating and managing tools in real-time. From automating web browsing to generating actionable insights, the possibilities are vast, and the implications for industries ranging from tech to media are profound. By the end, you might just find yourself rethinking what’s possible in task automation.

Deep Research Agent Overview

The Agent Orchestra Framework: A Collaborative Core

At the heart of the Deep Research Agent lies the “Agent Orchestra,” a hierarchical framework that orchestrates the collaboration of specialized agents. Each agent is carefully designed to excel in specific tasks, working in unison to tackle complex challenges. The framework’s adaptability stems from its ability to dynamically create and manage tools, making sure it can address unique requirements, even when existing tools are insufficient. This dynamic approach allows the system to evolve continuously, offering tailored solutions to meet the demands of various industries.

Specialized Agents: Precision in Action

The Deep Research Agent employs a suite of specialized agents, each functioning as an expert in its domain. These agents work collaboratively to deliver precise and efficient results:

• Deep Analyzer Agent: Performs in-depth analysis to extract actionable insights from diverse data types, allowing informed decision-making.
• Deep Researcher Agent: Synthesizes information from extensive research, producing detailed reports, summaries, and comprehensive insights.
• Browser Use Agent: Automates web browsing to streamline data collection, making sure efficient and accurate information extraction.
• MCP Manager Agent: Oversees tool discovery, registration, and execution using the MCP protocol, making sure seamless tool integration and management.

Skywork AI’s Multi-Agent System : Browses, Writes and Builds Tools

Here is a selection of other guides from our extensive library of content you may find of interest on multi-agent framework.

Dynamic Tool Creation: Tailored Solutions

A standout feature of the Deep Research Agent is its ability to dynamically create tools. When existing tools fail to meet specific requirements, the system synthesizes new ones, validates their functionality, and registers them for future use. This capability ensures the framework remains adaptable and responsive to evolving needs, providing customized solutions for even the most intricate challenges. By continuously expanding its toolset, the system enables users to tackle tasks with unparalleled efficiency and precision.

Applications Across Industries

The versatility of the Deep Research Agent makes it an invaluable tool across a wide range of industries and tasks. Its applications include:

• Document creation, including the generation of Word documents, PDFs, and presentations tailored to specific needs.
• Data analysis, such as trend visualization, market insights, and real-time updates to Excel spreadsheets.
• Web development and comprehensive market research to support strategic decision-making.
• API integration for custom workflows, allowing seamless automation and enhanced productivity.

Technological Features: Innovation at Its Core

The Deep Research Agent incorporates advanced technologies to deliver exceptional performance and flexibility. Key features include:

• Integration of multiple AI models: Combines the strengths of OpenAI, Google, and open-weight models to achieve superior results.
• Support for local and remote tools: Offers maximum adaptability by seamlessly integrating tools across different environments.
• Open source availability: Accessible on GitHub, allowing users to customize and experiment with the framework to suit their specific needs.

Skywork AI’s Broader Vision

Skywork AI’s innovations extend beyond the Deep Research Agent, showcasing a commitment to advancing AI capabilities across various domains. The company’s other new projects include:

• 3D world generation from single images, transforming virtual environments and simulations.
• Open source multimodal reasoning models designed for complex problem-solving and decision-making.
• Infinite-length film generative models, pushing the boundaries of creative AI applications in media and entertainment.
• Image generation, understanding, and editing tools for diverse creative and analytical purposes.

Performance and Accessibility: Designed for Users

The Deep Research Agent has demonstrated exceptional performance, achieving high scores on GAIA and humanity benchmark tests. Its ability to deliver state-of-the-art results across various applications underscores its reliability and efficiency. For users, the framework offers API access for tasks such as document creation and data analysis. To encourage adoption, free credits are provided for initial testing, with tiered packages available for extended use. This accessibility ensures that organizations and individuals can use the system’s capabilities without significant barriers.

Setting a New Standard in Task Automation

The Deep Research Agent represents a fantastic advancement in multi-agent frameworks, combining precision, adaptability, and scalability. By integrating advanced AI models, dynamic tool creation, and open source accessibility, it establishes a new benchmark for task-solving systems. Whether automating workflows, conducting in-depth research, or exploring creative applications, this framework offers a robust and versatile solution tailored to meet the demands of modern industries.

Media Credit: Prompt Engineering

Filed Under: AI, Top News

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FOR IMMEDIATE RELEASE                 

Contact:  Ilana Nikravesh                               
                Mount Sinai Press Office                               
                212-241-9200                              
                ilana.nikravesh@mountsinai.org

Mount Sinai Launches Cardiac Catheterization Artificial Intelligence Research Lab
New AI research lab at The Mount Sinai Hospital aims to transform patient care for complex heart procedures

Newswise — (New York, NY – September 15, 2025) – Mount Sinai Fuster Heart Hospital has announced the launch of The Samuel Fineman Cardiac Catheterization Artificial Intelligence (AI) Research Lab. This new lab will leverage the hospital’s world-renowned Cardiac Catheterization Lab and its unrivaled expertise to advance the field of interventional cardiology and enhance patient care, patient outcomes, as well as to optimize complex treatment decisions.

Annapoorna Kini, MD, will serve as Director of The Samuel Fineman Cardiac Catheterization Artificial Intelligence Research Lab. As Director of The Mount Sinai Hospital’s Cardiac Catheterization Lab, she leads an internationally acclaimed team renowned for its exceptional safety, outstanding patient outcomes, and expertise in treating complex cases.

“While AI is not a magic solution to every problem, there are many places it can make a notable improvement over traditional techniques or bring some approaches that were never possible within reach. In five or so years, we think that many workflows can be augmented by AI to better focus our resources where they are most needed,” says Dr. Kini.

“In our Cath Lab at Mount Sinai, we have always been at the forefront of using rapidly evolving AI technologies to advance patient care. We have already implemented AI applications to augment patient engagement and care coordination, and we are now moving to the next level by integrating AI technologies in our research and clinical work,” says Dr. Kini, who also serves as Director of The Mount Sinai Hospital’s Cardiac Catheterization Laboratory. “As an early adopter in adapting to a future with AI, we plan to continue to be a leader in embedding AI in our processes and work flows to achieve even better outcomes for our patients.”

Dr. Kini and her team will host the lab’s inaugural AI Symposium with The Fineman Cardiac Catheterization Artificial Intelligence Research Lab on Monday, September 15. The event will be held at The Mount Sinai Hospital from 4 to 6:15 pm.

Dr. Kini will lead all AI research efforts within The Samuel Fineman Cardiac Catheterization Artificial Intelligence Research Lab. The new lab will focus on many aspects of interventional cardiology, from procedural to educational. Through internal as well as external collaborations, new explorations into existing data expose insights that can make a significant impact on how health care is delivered. From risk stratification to case planning, optimizing outcomes, and more, artificial intelligence has the capability to spur whole new levels of innovation.

The Fineman Cardiac Catheterization Artificial Intelligence Research Lab honors the memory of Samuel Fineman, who passed away in 2021 and left a generous gift to Mount Sinai. This gift was made in appreciation of the exceptional cardiac care he received from Samin K. Sharma, MD, Director of the Mount Sinai Fuster Heart Hospital Cardiovascular Clinical Institute and former Director of The Mount Sinai Hospital’s Cardiac Catheterization Laboratory. The lab was dedicated this summer in his memory and in honor of Dr. Kini. Mr. Fineman’s generosity will be permanently recognized on a plaque outside of the Catheterization Lab, ensuring his gift to Mount Sinai is memorialized for years to come.

“I am particularly proud of the foresight and enthusiasm demonstrated by our team at the Mount Sinai Cardiac Catheterization Lab in adopting artificial intelligence technologies in our work,” says Dr. Sharma. “While we are proud to be recognized as a global leader in the quality and safety of the care we provide to our patients, I am confident that we will continue to leverage and apply the latest revolutions in AI technologies to drive the standards of our care and patient outcomes to even higher levels.”

Mount Sinai Is a World Leader in Cardiology and Heart Surgery

Mount Sinai Fuster Heart Hospital at The Mount Sinai Hospital ranks No. 2 nationally for cardiology, heart, and vascular surgery, according to U.S. News & World Report®. It also ranks No. 1 in New York and No. 6 globally according to Newsweek’s “The World’s Best Specialized Hospitals.”  

It is part of Mount Sinai Health System, which is New York City’s largest academic medical system, encompassing seven hospitals, a leading medical school, and a vast network of ambulatory practices throughout the greater New York region. We advance medicine and health through unrivaled education and translational research and discovery to deliver care that is the safest, highest-quality, most accessible and equitable, and the best value of any health system in the nation. The Health System includes approximately 9,000 primary and specialty care physicians; 10 free-standing joint-venture centers throughout the five boroughs of New York City, Westchester, Long Island, and Florida; and 48 multidisciplinary research, educational, and clinical institutes. Hospitals within the Health System are consistently ranked by Newsweek’s® “The World’s Best Smart Hospitals” and by U.S. News & World Report‘s® “Best Hospitals” and “Best Children’s Hospitals.” The Mount Sinai Hospital is on the U.S. News & World Report‘s® “Best Hospitals” Honor Roll for 2025-2026.

For more information, visit https://www.mountsinai.org or find Mount Sinai on Facebook, Instagram, LinkedIn, X, and YouTube.

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All,

I’m very pleased to announce that Deepa Seetharaman is returning to Reuters as a Tech Correspondent, based in San Francisco.

For Deepa, this marks a homecoming. She began her career at Reuters in New York and covered the U.S. autos in Detroit before moving to San Francisco to report on Amazon, building a reputation for breaking news and delivering ambitious stories at the heart of America’s biggest companies. She went on to spend a decade at the Wall Street Journal, where she covered some of the most consequential developments in technology, politics, and society.

At the Journal, Deepa was the lead reporter on Facebook (now Meta), where her coverage explored the company’s business, culture, and influence. Her reporting included coverage of Instagram’s impact on teenage girls and investigations into how AI systems falter in moderating racist and hateful content. More recently, she turned her focus to artificial intelligence, chronicling how advances in the technology are reshaping business models, political discourse, and cultural norms.

At Reuters, Deepa will focus on AI and OpenAI at a time when the technology is at an inflection point. With breakthroughs harder to achieve and investors pressing for returns, her work will span cutting-edge research, the strategies of the most powerful tech companies, and the global implications of AI’s rise. She will report to me and work closely with our global technology team as well as Steve Stecklow and the enterprise team. Her return also reunites her with Jeff Horwitz, who joined our San Francisco bureau in June. She starts today.

Deepa’s work has earned some of journalism’s most prestigious awards. She was part of a team that won the George Polk Award for Business Reporting and the Gerald Loeb Award in Beat Reporting.

Please join me in welcoming Deepa back to Reuters.

Ken