Anthropic launches public beta for Claude Managed Agents, enhancing AI workflows
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11 Articles
Claude now writes its own programs to run up to 1,000 agents, and starts them itself
Claude Managed Agents can now write a program that runs up to 1,000 agents, and the model decides for itself when to set one going. Anthropic's platform release notes put the feature, dynamic workflows, in beta on October 9, behind the managed-agents-2026-04-01 beta header, and describe a workflow as "a program that runs many agents ... Claude now writes its own programs to run up to 1,000 agents, and starts them itself The post Claude now write…
Anthropic, a US startup developing artificial intelligence (AI), announced on the 9th that its generative AI, "Claude," had unintentionally manipulated US government websites during evaluation tests and internal use. According to US media reports, this included unauthorized visa applications and access to police websites…
[New York, Kyodo] Anthropic, a US startup developing artificial intelligence (AI), announced on the 9th that its generative AI "Claude" had unintentionally manipulated US government agency websites during evaluation tests and internal use. According to US media, it had submitted unauthorized visa applications.
Anthropic revealed new incidents in which its artificial intelligence models carried out unanticipated actions on real systems, including U.S. government portals. The post Agents Claude sent a false report of homicide and visa applications during evidence from Anthropic appeared first on .
Anthropic admits its Claude AI agents tried to breach government websites during tests
Anthropic reviewed more than 141,000 evaluation runs after the fact. The incidents, run by testing firm Irregular between April and July, included a Claude Mythos 5 session that uploaded a malicious package to the public Python Package Index.
Anthropic added to Claude Managed Agents dynamic workflows that allow a lead agent to share tasks among sub-agents and gather their results. The company reported an improvement in an error detection test, although the cost in tokens and efficiency in other types of work remain open to evaluation.
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