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库库AI

Product information, use cases, and access for 库库AI.

AI agentsGeneral agentsWorkflow automationSee official site
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VerifiedSeptember 7, 2026

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What is 库库AI?

KuKu AI is a general-purpose AI agent introduced jointly by Baidu Wenku and Baidu Netdisk for office work, content creation, learning support, and information management. It works with text, images, and video, and can turn user instructions into outputs such as documents, posters, and videos.

Users describe a goal conversationally, while the system selects a suitable operating mode and carries the task forward; more involved work can be divided among cooperating agents. The workflow also allows users to revise, pause, or ask follow-up questions during execution, making it useful for individuals and teams that want fewer tool changes without giving up control over the result.

Key features of 库库AI

  • Multimodal content generation

    KuKu AI can work with text, images, and video, then organize them into outputs such as documents, posters, and videos from natural-language instructions. This is suited to office, learning, and creative work that needs one subject expressed across several formats.

  • Multi-agent task coordination

    The product provides agents oriented toward different kinds of work and can coordinate a complex goal as a sequence of smaller tasks. This approach fits connected workflows that combine research organization, content generation, and later editing without requiring a separate tool for every stage.

  • Interruptible task workflow

    During generation or task execution, users can add revision requests, pause the process, or ask follow-up questions, after which the system continues with the updated direction. This is useful for work that needs iterative changes, review of intermediate results, or gradual refinement of a final deliverable.

  • Information and file handling

    KuKu AI can analyze, organize, and combine user-provided files with materials from Baidu Wenku and Baidu Netdisk, while also supporting broader information retrieval. It is suited to turning existing materials into notes, reports, presentation content, or more structured file collections.