Media & Culture

Anthropic’s New Product Aims to Handle the Hard Part of Building AI Agents

New tool tackles the complex distributed-systems engineering required to deploy autonomous AI agents at scale.

Deep Dive

Anthropic has launched Claude Managed Agents, a new enterprise product designed to remove the significant technical barriers to deploying AI agents at scale. The tool provides developers with an out-of-the-box "agent harness"—the critical software infrastructure, including memory systems and tool integrations, that wraps around an AI model to enable it to take autonomous actions. It also features a built-in sandboxed environment for secure project execution and allows agents to run autonomously in the cloud for hours. This move capitalizes on Anthropic's surging enterprise business, which now boasts over $30 billion in annualized recurring revenue, largely driven by its Claude Platform API.

The product directly addresses what Anthropic identifies as a major gap: the complex distributed-systems engineering required to move from a capable model to a reliable, scalable agent. Katelyn Lesse, head of engineering for the Claude Platform, notes this previously required dedicated engineering teams. Now, companies can redirect that talent. In a demo, productivity startup Notion showed how it uses Managed Agents to automate a lengthy client onboarding process within its app, with a manager monitoring agent activity via a Claude Platform dashboard. This release intensifies the race with OpenAI's Frontier platform to dominate the enterprise AI agent space, a sector some investors believe could disrupt traditional SaaS companies.

Key Points
  • Provides a complete "agent harness" with memory, tools, and sandboxed environments to build autonomous AI systems.
  • Allows agents to run autonomously for hours in the cloud with full monitoring and permission controls.
  • Aims to close the utilization gap, letting businesses deploy AI for complex workflows like Notion's automated client onboarding.

Why It Matters

It lowers the engineering barrier for enterprises to automate complex tasks, potentially reshaping how software is built and used.