Managed Agents Are Changing How We Build AI Agents

A practical guide to building cloud agents that can run for hours, use tools and skills, remember past work, control costs, and coordinate with other agents.

Managed Agents Are Changing How We Build AI Agents

TL;DR

  • Anthropic added hard spending limits, advisor models, inference-location controls, and automatic loading of Skills from GitHub to Managed Agents.
  • Managed Agents are evolving into an AI operating system, capable of tasks like file editing, command execution, web browsing, and inter-agent coordination.
  • The agent loop is moving from the user's laptop to a cloud-based runtime environment.
  • The system is structured around Agent, Environment, Session, and Events objects.
  • The managed layer handles runtime tasks like sandboxing and orchestration, while the user focuses on defining work and verification.