Baidu Launches GenFlow 2.0 with 100 Parallel AI Agents for Enhanced Productivity
Baidu Wenku and Netdisk introduce GenFlow 2.0, featuring over 100 parallel AI agents with real-time control, cutting task processing time from hours to minutes.
Published: August 18, 2025 | Source: PR Newswire | Location: Beijing
BEIJING, Aug. 18, 2025 — Baidu Wenku and Netdisk, Baidu's AI-powered productivity platforms, have unveiled GenFlow 2.0, a next-generation AI agent capable of orchestrating over 100 parallel agents simultaneously. This release introduces real-time pause-and-intervene control, offering users unprecedented transparency and control over AI-driven workflows.
Key Features of GenFlow 2.0
- Multi-Agent Parallel Architecture: Reduces complex task processing from hours to under three minutes.
- Full Workflow Control: Users can pause tasks mid-execution, modify instructions, and edit results, unlike traditional "black box" AI systems.
- Broad Data Access: Leverages 680M peer-reviewed papers (Baidu Scholar), 1.4B professional documents (Wenku), and user-approved Netdisk files for accuracy.
- Multi-Modal Outputs: Supports copywriting, visual design, slides, research reports, animation, and coding.
Performance and Adoption
GenFlow 2.0 is already integrated into Baidu Wenku and Netdisk, serving over 1B users. It’s also natively embedded in HONOR smartphones for cross-device accessibility. With 97M monthly active AI users, Baidu Wenku hosts the world’s largest AI-powered PPT user base.
Why It Matters
Baidu emphasizes that engineering execution and product innovation—not just foundational models—will define AI leadership. GenFlow 2.0’s architecture enables rapid iteration, localization, and market alignment.
For more details, visit wenku.baidu.com.
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Dr. Sarah Chen
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A seasoned AI expert with 15 years of research experience, formerly worked at Stanford AI Lab for 8 years, specializing in machine learning and natural language processing. Currently serves as technical advisor for multiple AI companies and regularly contributes AI technology analysis articles to authoritative media like MIT Technology Review.