Anthropic 为 Claude 托管智能体加入动态工作流,单次最多并行 1000 个智能体
Anthropic's Claude can now orchestrate up to 1,000 AI agents in parallel through dynamic workflows
Anthropic 为 Claude Managed Agents 新增动态工作流,由主智能体制定计划、把任务分发给子智能体并汇总结果,单次执行最多可并行运行 1000 个智能体。Anthropic 称在 116,000 行代码库中隐藏 70 个 bug 的测试里,单个智能体每次能发现 14 到 27 个,而动态工作流稳定达到 66 个。启用方式是选择 multiagent_20261001 智能体类型,由于会消耗大量 token,官方建议从小规模开始,可通过文档或 Claude Code 中的 /claude-api managed-agents-onboard 上手。
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Anthropic 为 Claude 托管智能体加入动态工作流,读者可据此判断多智能体编排的成本与适用边界。
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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.