Enables AI agents to run compute tasks in secure sandboxes with optional interactive UIs, brokering between agents and isolated execution environments.
Enables autonomous agents to manage tasks in a pull-based work queue with strategic goal alignment, real-time monitoring, and cross-project choreography.
Enables AI agents to dynamically spawn, route to, and manage ephemeral containerized sandboxes on Kubernetes without requiring Custom Resource Definitions or cluster-level operators.
A local-first job broker with MCP and HTTP interfaces for orchestrating AI work, with cost-aware routing, observable state transitions, and human control.