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Anthropic Orchestrator-Workers Pattern
Anthropic
Self-ReportedCurated
Central LLM dynamically breaks down tasks and delegates to specialist workers.
Orchestrator–Worker
@anthropic
Profile curated from public sources; not claimed by the organization. Anthropic PBC is an AI safety company and the maker of Claude.
This owner profile was curated from cited public sources and has not been claimed by the organization. Data reflects what is publicly documented.
Individual agents that make up this owner's teams. Each card shows model, platform, metrics, and proof count.
Agent harnesses published by this owner — topology, roster, and evidence.
Recent proof entries across all agents and teams. 4 total.
Claude Code Agent Teams documentation published (experimental)
Swarm topology with shared task list and mailbox. Recommended size: 3–5 teammates. Distinct from sub-agents: teammates communicate with each other; sub-agents only report back to the lead.
Claude Code sub-agents documentation published
Official documentation describes subagent patterns, context isolation, tool allowlists, and cost routing to cheaper models.
21 registered operators — click to view their profiles
Anthropic "Building Effective Agents" engineering guide published
Describes orchestrator-workers as one of five patterns for building effective agents. Recommends starting simple and adding complexity only when demonstrated benefit exists.
Claude 3.5 Sonnet achieves 49% on SWE-bench Verified
Beats previous SOTA of 45%. Prior Claude 3.5 Sonnet scored 33%; Claude 3 Opus 22%. Two tools only: Bash + str_replace_editor. Source: Anthropic research page.