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Anthropic的Claude现在可以通过动态工作流程并行编排多达1,000个人工智能代理

原文标题 · Anthropic's Claude can now orchestrate up to 1,000 AI agents in parallel through dynamic workflows

Anthropic正在向Claude托管代理添加动态工作流程,让首席代理同时将任务分配给多达1,000个子代理。在测试中,单个代理最多发现代码库中70个隐藏错误中的27个,而多代理工作流程始终发现66个。Anthropic的Claude现在可以通过动态工作流程并行编排多达1,000个人工智能代理这篇文章首次出现在The Decoder上。

来源:The Decoder · the-decoder.com

正文为英文,可一键机器翻译(仅首次需要等待)

Anthropic's Claude can now orchestrate up to 1,000 AI agents in parallel through dynamic workflows

Anthropic is adding dynamic workflows to its Claude Managed Agents, bringing multi-agent orchestration to the platform. The managed agent infrastructure has been around for a while, but dynamic workflows are new. A lead agent creates a plan, distributes tasks to sub-agents, and merges the results when they're done. Up to 1,000 agents can run in parallel per execution.

Whether this is cost-effective seems debatable. A senior OpenAI engineer recently called agent swarms a massive waste of tokens , but Anthropic points to its own testing: The team hid 70 bugs in a 116,000-line codebase and found that a single agent caught between 14 and 27 per run, while the dynamic workflow consistently hit 66. Whether those gains hold across different task types remains to be seen, so, as always, it's worth testing with your own workloads.

To activate dynamic workflows, select the "multiagent_20261001" agent type. Because these workflows can burn through "a lot of tokens," Anthropic recommends starting small. You can get going through the documentation or by running "/claude-api managed-agents-onboard" in Claude Code. Ad Ad

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