AGENT-OS

**AgentOS** is an Enterprise AI Governance Platform built to provide security, transparency, and accountability for autonomous AI agents. As organizations increasingly adopt AI for critical operations such as healthcare, finance, legal services, and customer support, ensuring that AI systems act safely and comply with regulations has become a major challenge. While existing platforms focus on building AI agents, AgentOS focuses on governing them. AgentOS introduces a multi-agent governance pipeline that evaluates every AI request before execution. Instead of allowing an AI agent to act immediately, each request passes through specialized governance agents responsible for identity verification, security analysis, compliance validation, risk assessment, escalation, and audit logging. This ensures every AI decision is monitored, explained, and recorded. The platform features a centralized Command Center for real-time monitoring, an interactive Governance Center to visualize workflow execution, detailed Investigation Reports, Explainability dashboards, immutable Audit Logs, Risk Assessment modules, an Agent Registry, Performance Analytics, and Cost Tracking. Together, these provide enterprises with complete visibility into how AI agents operate and why specific decisions are made. Built using **React, FastAPI, PostgreSQL, Redis, and the Band Multi-Agent Framework**, AgentOS leverages advanced AI models to coordinate governance workflows efficiently. Its scalable architecture allows organizations to integrate multiple AI agents while maintaining strict security, regulatory compliance, and operational transparency. By transforming AI from a black-box system into a fully governed ecosystem, AgentOS enables enterprises to deploy autonomous AI with confidence. It serves as the trust layer between AI agents and real-world execution, ensuring every action is secure, explainable, auditable, and aligned with business policies.