# Managed agents 101

Canonical: https://thelazyweb.com/101/managed-agents/
Updated: 2026-09-20
Curator: Ali Abouelatta (https://thelazyweb.com/authors/ali-abouelatta/)

The control planes, durable execution, sandboxes, logs and human approvals that let an agent keep working after the first model call ends.

**TL;DR:** Managed agents are a systems problem around the model: durable state, isolated compute, tools, secrets, streaming, approvals and recovery. Read Anthropic and OpenAI for the hosted platforms, then Omnara for the open control-plane argument.

## Understand the managed platform

These are the current first-party definitions from Anthropic and OpenAI. Compare what each platform owns before deciding what remains application code.

### [Claude Managed Agents overview](https://platform.claude.com/docs/en/managed-agents/overview)

Authority: [Anthropic](https://thelazyweb.com/authors/anthropic/)

**TL;DR:** Claude Managed Agents supplies the harness, environments, sessions, tool execution and durable state around Claude so teams do not rebuild the control plane.

**What you'll read:** The core objects, execution lifecycle, security model and the boundary between Anthropic's managed layer and the agent you define.

### [Claude Managed Agents: get to production faster](https://claude.com/blog/claude-managed-agents)

Authority: [Anthropic](https://thelazyweb.com/authors/anthropic/)

**TL;DR:** Anthropic positions managed agents as composable cloud infrastructure for long-running work, not another prompt template or chatbot framework.

**What you'll read:** The launch case,

[Managed agents 101](<https://www.thelazyweb.com/101/managed-agents/>)

Source observed: 2026-09-20T21:38:40.128Z. Last checked: 2026-10-08T02:03:20.584+00:00.

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