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Claude Managed Agents

Managed agent harness and cloud runtime for long-running Claude workflows

☁️ Managed agent runtime🧰 Built-in tools + MCP⏱️ Long-running sessions📜 Durable event logs
PaidAutomationDeveloper ToolsDevelopmentIntegration
Claude Managed Agents preview

About Claude Managed Agents

Overview

Claude Managed Agents is Anthropic's managed runtime for building production-ready agents on the Claude Platform. Instead of wiring your own sandbox, orchestration loop, and state layer, you define an agent, an environment, and a session, then let Anthropic run the harness and tool execution for you. It is best suited to asynchronous or long-running work that needs secure containers, durable event history, and built-in Claude tooling.

Paid
Automation
For: developer

Key Features

  • Anthropic manages the harness, sandbox runtime, and durable session infrastructure for you.
  • Built for long-running and asynchronous agent work rather than only short request-response loops.
  • Supports built-in Claude tools plus MCP connectivity for broader execution surfaces.
  • Persistent event history and observability make debugging and review much easier than ad hoc agent scripts.

Snapshot

Find AI agents by task, not by hype

7 active capabilities
CodingWorkflow automationResearch

Capabilities

  • Terminal access
  • Tool use
  • API execution
  • MCP support
  • Multi-step planning
  • Human approval
  • Execution logs

Best for

  • Long-running agent tasks that need durable sessions
  • Teams that want Claude-powered automation without building their own harness layer
  • Cloud-hosted workflows that need secure containers, web access, and MCP tools

Not ideal for

  • Local pair-programming sessions where the terminal itself is the product
  • Tiny one-shot automations that do not justify managed infrastructure
  • Teams avoiding beta hosted infrastructure in production

What reviewers say

Claude Managed Agents is best understood as Anthropic's hosted agent runtime, not as a prettier wrapper around Claude Code. Its value rises when the hard part of your project is running and supervising agents in production rather than chatting with them locally.

Sources

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