Anthropic's Claude can now orchestrate up to 1,000 AI agents in parallel through dynamic workflows
Anthropic added dynamic workflows so Claude Managed Agents can run up to 1,000 agents in parallel.
Anthropic added dynamic workflows to Claude Managed Agents, letting a lead agent plan work, assign it to sub-agents, and merge results. Up to 1,000 agents can run in parallel per execution using agent type multiagent_20261001. In an internal test, the workflow found 66 of 70 bugs hidden in a 116,000-line codebase, versus 14 to 27 for a single agent. Anthropic says the feature can consume many tokens and recommends starting small.
- A lead agent plans work, delegates to sub-agents, and merges results.
- Up to 1,000 agents can run in parallel per execution.
- Workflows found 66 of 70 planted bugs versus 14–27 for one agent.
- Enable agent type multiagent_20261001; Anthropic warns token use can be high.
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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.
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