Aramb is an operating system for building, deploying, and monetizing AI agents. The platform consolidates seven core primitives into one control plane. The agent primitive enables routing across language model providers based on price, latency, or intent, allowing model swaps without code rewrites. The voice primitive offers realtime pipelines with a unified interface. The browser primitive provides headless Chrome functionality for captchas, logins, and extended sessions with usage-based billing. The sandbox primitive offers ephemeral Linux environments for isolated tool execution. The memory primitive combines vector, episodic, and semantic storage with per-tenant namespacing. The tools primitive includes pre-authenticated integrations. Token compression reduces token use. Agents self-learn from real outcomes. Autonomous testing and audit logging ensure reliability. The platform meters usage per end-user and emits billing events.