Skywork Unveils Game-Changing Upgrades: Next-Level AI for Enhanced Research Capabilities

Skywork's Deep Research Agent: A Revolutionary Upgrade



On August 14, 2025, Skywork AI officially launched its highly anticipated Deep Research Agent v2 as part of their Technology Release Week, which began on August 11. This exciting event showcased the unveiling of a new cutting-edge model each day, with the Deep Research Agent standing out for its impressive capabilities in multimodal AI scenarios.

The original Skywork Deep Research Agent had already made a significant impact since its first release on May 22, 2025. It transformed the processes involved in AI office tasks by generating a plethora of quality documents, presentations, and spreadsheets, all while providing users with an exceptionally high density of information. With the release of version 2, Skywork aims to elevate user experience to new heights.

Unveiling Multi-Modal Capabilities



A standout feature of the upgraded Deep Research Agent is its status as the industry’s first Multi-Modal Deep Research Agent. Unlike existing agents, which primarily focus on textual data, Skywork's innovation allows for the integration of multi-modal inputs, including images and text, into its research workflows. This is critical as a vast amount of information on the internet exists beyond plain text, encompassing graphs, diagrams, and various visual elements.

To address this, the Skywork team has implemented advanced technologies, including the MM-Crawler and asynchronous processing. These innovations enable the Agent to read text and comprehend images simultaneously, offering unparalleled insight and quality in the generated reports. Researchers now have the ability to create cohesive and visually appealing analyses in one streamlined process.

Browser Agent Innovations



Another groundbreaking aspect of the release is the Multi-Modal Deep Browser Agent, designed to redefine social media analytics. This new Browser Agent boasts ultra-low latency, adaptive decision-making, and enhanced task completion rates, enabling unprecedented browsing efficiency.

With capabilities to perform intelligent search operations and analyze multimodal content from major social media platforms like Twitter and Instagram, the Browser Agent not only excels in data collection but also provides holistic insights through sentiment analysis and visual content evaluation. The alpha testing phase has begun, with a broader rollout anticipated soon.

Advanced Performance Metrics



Skywork's Deep Research Agent v2 has also set new benchmarks in complex task execution, thanks to its cutting-edge mechanisms like high-quality synthetic data generation and an end-to-end reinforcement learning model. This has propelled it to achieve state-of-the-art (SOTA) results in various evaluations, including a notable performance on the BrowseComp benchmark, where the Agent achieved an accuracy rate of 38.7%—a record-setting figure in the industry.

The implications of these innovations are vast, not just for the field of AI but for market researchers, content creators, and data analysts who rely on comprehensive insights to drive decisions. The access to the API preview is now available, encouraging developers and users to explore the power of the newly improved Deep Research functionality.

Looking Ahead



As Skywork AI continues to unveil these transformative updates, the Deep Research Agent v2 is poised to revolutionize the landscape of AI-driven research tools. Users can officially register and utilize the agent via the Skywork platform at skywork.ai. With its multi-modal integration and advanced analytical capabilities, the future of research and data intelligence is here, and it's smarter than ever.

In summary, the launch of Skywork’s Deep Research Agent v2 is a monumental step forward in the realm of AI, merging advanced technology with practical applications to empower users worldwide. This innovation promises to be a game changer in the industry, illuminating the path toward more efficient and insightful research practices.

Topics Consumer Technology)

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