Introducing independent agents: AI coworkers securely built for autonomous, multiplayer work

This post introduces 'independent agents,' a new class of AI coworkers built on Glean's context layer. These agents are designed for autonomous, multiplayer work across enterprise applications (Jira, Slack, Teams) while maintaining security and governance. Key characteristics include: identity with context (provisioned access, distinct profiles), memory (learning from company data and interactions), proactivity (acting without explicit prompts, suggesting solutions, sharing learnings), and accountability (traceable actions, tool calls, decisions within Glean's tenant and region, with an emergency stop button). The OnCall Assistant is presented as a specific example, demonstrating how these agents can assist engineers during on-call escalations by reading alerts, gathering context, analyzing logs, and suggesting fixes. The post emphasizes the trade-off between unlocking agent productivity and managing open-ended risk, positioning independent agents as a solution that grounds AI in company context, processes, and permissions.