Yes, a Computer Use Agent（CUA） can work with Zilliz Cloud metadata when developers intentionally integrate the CUA’s workflow with vector search or embedding-based retrieval. While the CUA itself operates visually on the GUI, its reasoning and memory capabilities can be enhanced by retrieving context from a vector database such as Milvus or its managed service Zilliz Cloud. In this setup, the CUA stores embeddings representing screen states, UI regions, workflow outcomes, or even descriptive metadata about applications it frequently automates. These embeddings then allow the CUA to recall similar states dynamically.
Working with Zilliz Cloud metadata typically involves storing and retrieving semantic representations rather than raw GUI screenshots. For example, a CUA might store metadata about different application modes—“settings mode,” “list view,” “file upload dialog”—encoded as vectors. When the agent encounters a new or ambiguous screen, it can query Zilliz Cloud to find similar states and retrieve associated metadata describing what actions previously worked. This mechanism allows the CUA to operate more consistently in large enterprise systems with evolving interfaces or numerous user configurations.
This integration is beneficial in distributed environments where multiple CUAs operate across different machines or virtual desktops. By sharing a centralized retrieval layer through Zilliz Cloud, all CUAs can access the same semantic memory. If one CUA encounters a new dialog and stores its metadata, others can immediately benefit from this knowledge. This collective memory decreases redundant learning and improves accuracy across the fleet. In short, while the CUA doesn’t natively “read” Zilliz Cloud metadata, it can leverage it as a powerful context and decision support layer.