Claude Managed Agents: Features and How It Works—See It All at a Glance! Can It Help Businesses Increase Production Speed by 10x?

Anthropic releases Claude Managed Agents, providing fully managed infrastructure and multi-agent coordination, significantly simplifying the underlying architecture for development. The company officially claims it can help businesses speed up production by tenfold, and is actively moving to capture the enterprise AI market.

Claude Managed Agents officially launches

AI tech giant Anthropic has launched Claude Managed Agents to help businesses build and deploy AI Agents more easily.This tool provides developers with a ready-to-use foundation, simplifying the complex processes that have previously hindered task automation, and claims it can accelerate how quickly companies bring products into production by ten times.

What features does Claude Managed Agents have?

According to the official article, when most enterprises develop an agent system, it usually takes several months to handle infrastructure, state management, and permission settings.

Claude Managed Agents abstracts away these complex underlying infrastructures, so developers only need to define the agent’s tasks and guardrails; the platform will automatically handle the subsequent operations.

Its main features include the following aspects:

Feature 1: Fully managed secure infrastructure

Claude Managed Agents provides production-grade execution environments, automatically handling secure sandbox execution and verification, allowing language models to access files, run code, and browse the web in protected cloud containers.

Image source: anthropic Claude Managed Agents has fully managed secure infrastructure

Feature 2: Supports long-running autonomous operation

Claude Managed Agents is designed for asynchronous work that needs to run for extended periods. Agents can operate autonomously for several hours and come with a persistent file system and conversation history records, so even if the connection drops midway, the execution progress and output results can be preserved.

Feature 3: Multi-agent coordination and governance tools

Claude Managed Agents can start and direct other agents to process work in parallel. The platform includes governance tools such as identity management, scope-based permissions, and execution tracking to ensure that agents remain secure when accessing real systems.

How does Claude Managed Agents work?

Regarding how Claude Managed Agents actually operates, the official documentation breaks it down into the following steps:

• Create an agent: Developers define the model, system prompts, and tools. After it’s created, it can be referenced repeatedly across different sessions.
• Set up an environment: Configure cloud containers, pre-install software packages, and set network access rules.
• Start a session: Start an execution instance that references the agent and environment configuration above to perform a specific task.
• Send events and stream responses: Send user messages as events; the model autonomously executes tools and returns results, and the history is also retained on the server side.
• Guide or interrupt: During execution, the user can send additional events to guide the agent, or directly interrupt to change the execution direction.

Bridging the technical gap—Notion tests it first

Claude platform engineering lead Katelyn Lesse points out that deploying agents at scale is a highly complex distributed systems engineering challenge. With the ready-made underlying architecture provided by Anthropic, customers’ engineers can focus their efforts on core business and product development.

An Anthropic official article further explains that in existing AI Agents designs, language models and execution tools are often bound to the same container, making system maintenance difficult.

With the new architecture, the compute model is separated from the execution environment. This not only greatly reduces the time-to-first-token latency, but also allows agents to flexibly connect to a company’s own virtual private cloud, while improving security by preventing malicious code from accessing sensitive credentials.

In practical applications, productivity startup Notion has shown how to use this new service to drive customer lead generation features.

In the demonstration, Notion product manager Eric Liu assigned a long list of tasks to Claude Managed Agents, and it began completing each step one by one. Developers can also directly use the Claude platform dashboard to view the agents’ work status in real time and the tools being used.

Tech giants compete for the enterprise AI market

Recently, tech companies have been pouring resources into competing for the enterprise-level AI market. **This February, OpenAI released **Frontier; and in March this year, Nvidia also followed the OpenClaw crayfish-raising trend, and **launched open-source **NemoClaw for OpenClaw, providing an open model and an isolated sandbox environment, adding data privacy and security protections for AI Agents.

These moves show that the industry is actively building more scalable and secure AI infrastructure for enterprises, accelerating the full rollout of AI in business.

Further reading:
Binance CZ mocks AI agents “little crayfish”: claims to free your hands, but ends up busy fixing it every day