One is to serve as the “launch point” for custom AI agents. These agents combine generative AI (genAI) large language models with multi-step workflows to automate repetitive tasks. Google said the application has an “intuitive interface” and intends it to serve as a space where workers can access pre-built agents created in Google’s VertexAI Agent Builder. A low-code tool is also in the works to enable a wider range of employees to set up their own agents.
Agentspace also provides an enterprise search function that Google said will help workers find information held in applications across their organization, includingboth structured and unstructured data such as documents and emails. Agentspace search is “multimodal,” Google said, meaning it should be possible to search across video and image files as well as text documents.
Agentspace search can access data from a range of sources using connectors to third-party tools such as Confluence, Google Drive, Jira, Microsoft SharePoint, ServiceNow, and others.
