AgentOS
Operating System for AI Agents (Token Payroll + Kill Switch)
AgentOS functions as a comprehensive HR platform for managing operational agents, providing critical oversight and control. Key features include:
* Token-based payroll and cost tracking
* Performance scorecards for agent evaluation
* Instant kill switch for agent governance
* Audit-ready compliance reporting
* Real-time behavioral drift and anomaly alerts
This platform allows organizations to register, monitor, and govern their entire fleet of operational agents from a single command center. It offers vendor-neutral support, ensuring compatibility across various providers, and maintains high-speed decision latency for efficient operations. With AgentOS, teams can lifecycle-manage agents from onboarding through retirement, tracking versions, capabilities, and provider details.
Beyond basic management, AgentOS delivers detailed token payroll tracking, enabling per-agent cost analysis and budget alerts to prevent unexpected overruns. Performance scorecards measure success rates, accuracy, and latency, facilitating certification of high-quality agents and suspension of underperforming ones. Critical governance features include an instant shutdown capability for misbehaving agents, blast radius containment, and continuous surveillance for unauthorized agent deployments. Detailed reasoning traces provide full transparency into agent decision-making, crucial for compliance and regulatory audits. The system also monitors for behavioral drift, hallucination spikes, and cost anomalies, alerting users to potential issues before they impact operations.
AgentOS is ideal for engineering and operations teams within enterprises deploying digital agents at scale, who require robust financial oversight, performance validation, and stringent compliance adherence. Its open-source nature and flexible deployment options (local or cloud) make it suitable for organizations prioritizing control and transparency in their agent deployments.