Single agent vs multi-agent: when subagents are worth it

Описание и применение

<p><strong>Single agent vs multi-agent is a trade-off between one shared context and several isolated ones.</strong> For many production setups in late 2026, Anthropic's Applied AI team now recommends defaulting to one agent loop with skills and tools loaded on demand, and keeping a subagent only when evals show it still beats the folded version — or when it truly needs its own context window, parallel runs, or permission isolation. That is the practical answer; the rest of this post is how to decide for your stack.</p> <p>On 22 October 2026 Anthropic published <a href="https://claude.com/reso

Задача

<p><strong>Single agent vs multi-agent is a trade-off between one shared context and several isolated ones.</strong> For many production setups in late 2026, Anthropic's Applied AI team now recommends defaulting to one agent loop with skills and tools loaded on demand, and keeping a subagent only when evals show it still beats the folded version — or when it truly needs its own context window, parallel runs, or permission isolation. That is the practical answer; the rest of this post is how to decide for your stack.</p> <p>On 22 October 2026 Anthropic published <a href="https://claude.com/reso

Результат

<p><strong>Single agent vs multi-agent is a trade-off between one shared context and several isolated ones.</strong> For many production setups in late 2026, Anthropic's Applied AI team now recommends defaulting to one agent loop with skills and tools loaded on demand, and keeping a subagent only when evals show it still beats the folded version — or when it truly needs its own context window, parallel runs, or permission isolation. That is the practical answer; the rest of this post is how to decide for your stack.</p> <p>On 22 October 2026 Anthropic published <a href="https://claude.com/reso

Доказательства

Single agent vs multi-agent: when subagents are worth it

Источник