Managed Deep Agents v0.9

Managed Deep Agents v0.9 introduces advanced capabilities for internal operational agents, allowing them to function more like collaborative team members. Key enhancements include: * Task Scheduling: Agents can now create reminders and recurring tasks dynamically during conversations. * Contextual Permissions: Scheduled tasks run with the requester's permissions and post updates to the originating channel. * Per-Run Configuration: A single agent deployment can select its operational model, necessary skills, available tools, and sandbox environment for each individual run. * Real-time Engagement: Agents can react instantly to Slack messages, enhancing responsiveness and interactivity. This update focuses on making agents more autonomous and adaptable within existing communication channels. The ability for agents to manage their own schedules and adjust their operational parameters on the fly significantly reduces manual oversight and increases efficiency. By running tasks with the requester's permissions, the system ensures secure and appropriate execution of delegated responsibilities. Designed for teams seeking to integrate sophisticated operational assistance directly into their daily communication platforms. It's ideal for organizations looking to offload routine follow-ups, streamline complex processes, and improve the immediate responsiveness of their internal support systems. The public beta allows early adopters to leverage these features for enhanced team productivity and seamless digital collaboration.