The missing layer between AI intent and execution. Agent OS is a governance and audit runtime that sits between your AI agent’s reasoning and real-world action. It intercepts every agent decision, evaluates it against policy, creates a provenance record, and either executes, gates, or blocks — before anything touches your infrastructure.
Every action logged with full provenance — who, what, why, when.
ISO 42001-based rules gate actions before execution — deterministically.
Human-in-the-loop approval for high-risk operations. The agent waits.
Subscribe, enter your Bedrock or OpenAI key plus ProvenanceCode API key — default policy applied, containers online.
Low ×1 · Medium ×3 · High ×10 — fair metering aligned with real risk.
Deterministic policy eval — not a second LLM. Typically under 5% token increase vs native LLM alone.
Auditability — every action explainable under policy and risk assessment. Risk control — high-risk work requires human approval. Accountability — signed, immutable provenance when something goes wrong.
Competitors (OpenAI Agents, Nvidia NeMo) focus on capabilities. Agent OS focuses on control. That is the enterprise gap.
Join the waitlist