Skywork Deep Research Agent v2 – The upgraded deep research intelligent agent launched by Kunlun Wanwei

What is Skywork Deep Research Agent v2？

Skywork Deep Research Agent v2 is an upgraded deep research intelligent agent launched by Kunlun Wanwei. Serving as the core engine of the Tiangong Super Intelligent Agent, it possesses multimodal deep research capabilities. For the first time, it integrates multimodal retrieval, understanding, and generation, supporting the processing of mixed text-and-image information to produce high-quality reports. Skywork Deep Research Agent v2 also functions as a multimodal deep browser agent, simulating human web browsing, analyzing social media content, and generating visual reports or standalone websites. With its excellence in deep information search and complex task execution, combined with training on high-quality data, end-to-end reinforcement learning, and efficient parallel inference technology, it significantly enhances reasoning performance and efficiency, providing users with a higher-quality and more efficient AI experience.

Skywork Deep Research Agent v2 Main Features

• Integration of Multimodal Information: Combines multimodal retrieval, understanding, and generation in deep research, capable of handling mixed text-and-image information, preventing decision-making gaps caused by ignoring non-textual content like images.

• High-Quality Report Generation: Automatically analyzes images in documents and inserts them as high-quality illustrations, or integrates image information to create new charts, significantly reducing reader comprehension effort.

• Deep Multimodal Content Understanding: Analyzes images, videos, and comment sentiment in social media posts to provide more comprehensive insights.

• Automated Data Analysis and Reporting: Generates intuitive and easy-to-understand visual reports automatically.

• One-Click Website Deployment: Converts key images and analysis into standalone websites for easy presentation and team sharing.

• Seamless Workflow Integration: Works with information retrieval agents or document agents to enhance office efficiency.

Skywork Deep Research Agent v2 Technical Principles

• Multimodal Crawling Technology (MM-Crawler): Efficiently crawls multimodal data from the internet, including text, images, and videos, ensuring completeness and diversity of information. Collects long-range multimodal information to provide sufficient context for complex tasks.

• Asynchronous Parallel Multi-Agent Multimodal Understanding Architecture: Multiple agents work collaboratively to process multimodal data asynchronously and in parallel, improving understanding and generation efficiency.

• Multimodal Result Presentation: Presents multimodal information intuitively and clearly, e.g., inserting high-quality images into documents or generating new charts.

• End-to-End Reinforcement Learning: Uses a systematic high-quality data synthesis workflow to generate training datasets that meet five standards: diversity, correctness, uniqueness, verifiability, and challenge. Training difficulty is dynamically adjusted to ensure the model efficiently iterates within the “learning zone.” Employs generative reward models and dense reward structures to enhance learning efficiency and final performance.

Project Website

• Global website: Skywork.ai

Skywork Deep Research Agent v2 Application Scenarios

• Industry Research and Report Generation: Quickly produces professional industry research reports containing the latest data and trend analysis, supporting multiple export formats to aid enterprise decision-making.

• Educational Content Creation: Generates teaching materials such as PPTs or science videos for teachers, supporting various styles and multimedia content to enhance teaching effectiveness.

• Marketing Strategy Development: Automatically generates marketing presentations based on product characteristics and target audiences, including market analysis, marketing strategies, and expected outcomes.

• Data Analysis and Visualization: Converts raw data into tables, charts, and analysis reports automatically, helping finance and marketing teams quickly gain insights into data trends.

• Multimedia Content Creation: Produces multimedia content—including text, images, animations, and voice narration—based on creative themes, such as podcasts, webpages, or science videos, improving content creation efficiency.