Anthropic opens Claude Managed Agents dynamic workflows in public beta, letting a lead agent run many agents in phases
Claude Managed Agents dynamic workflows are now available in public beta. It's a new type of multiagent orchestration, built for your most ambitious workloads. A lead agent writes a plan that runs across many agents in phases, combining the results at the end.
Context
Developers building on Claude can now hand large, many part jobs to one agent that plans the work and spreads it across many agents, with Anthropic's servers running the whole thing in the background.
Claude Managed Agents is Anthropic's hosted agent harness, which runs Claude as an autonomous agent with sandboxing, built in tools and event streaming through the API. It already let one agent delegate tasks to subagents from a roster. Anthropic's release notes for October 9 add dynamic workflows, in beta under the managed agents beta header.
Deep dive
Anthropic's developer account announced on October 9 that dynamic workflows for Claude Managed Agents are available in public beta, describing them as a new type of multiagent orchestration built for the most ambitious workloads. In the new mode, a lead agent writes a plan that runs across many agents in phases and combines the results at the end.
According to Anthropic's release notes, a workflow is a program that the agent writes for work with many pieces, such as reviewing hundreds of documents. The server runs it in the background as a workflow run, while the original agent keeps working or ends its turn. Developers turn it on by setting the agent's multiagent field to the new multiagent_20261001 type with workflows enabled, and they follow each run through workflow_run events on the session's event stream.
The multiagent orchestration docs list audits, migrations, deep research and cross checking as examples, and say the workflow can define its own agents or pick from a list the developer provides. The docs also warn that every agent in a run uses tokens, and recommend setting a session budget to cap spending and telling the agent in its system prompt when to start a run.
A summary of the docs by CellCog says a run can start up to 1,000 agents over its life, with up to 64 working at once, and lasts 24 hours by default. Anthropic has not announced general availability terms.
What to expect next
Watch for general availability, and for whether Anthropic keeps or changes the limits on run size and concurrency during the beta.
Cost is the other open question. Since every agent in a run bills tokens, early users are likely to share how large runs perform against a single agent on the same task, and what they cost. Also watch whether OpenAI and Google answer with similar hosted orchestration in their own agent platforms.