Anthropic’s Multi‑Agent Coordination Guide: 5 Architectures and When to Use Them

When a single AI agent cannot complete a task, multi‑agent systems become essential, and Anthropic’s latest guide presents five validated coordination patterns.

1. Generate‑Validate Pattern

One agent generates content while a second agent validates it; if validation fails, the output is sent back for regeneration, repeating until it meets the criteria.

Applicable scenarios: code generation + testing, fact‑checking, compliance verification. Pitfall: ambiguous validation standards can render the process ineffective.

2. Orchestrate‑Sub‑Agent Pattern

A primary (orchestrator) agent breaks down a task, assigns subtasks to child agents, and aggregates their results. Claude Code adopts this architecture.

Applicable scenarios: tasks with clear boundaries and minimal inter‑subtask dependencies. Pitfall: the orchestrator can become an information bottleneck, risking loss of critical details.

3. Team Pattern

Each agent acts as a long‑term “colleague,” continuously accumulating domain knowledge rather than serving as a one‑off tool.

Applicable scenarios: large code‑base migrations where each agent handles an independent module. Pitfall: resource sharing may lead to conflicts.

4. Message‑Bus Pattern

Agents interact via publish/subscribe events, allowing new agents to join without modifying existing connections.

Applicable scenarios: systems with ever‑growing event streams such as security‑alert pipelines. Pitfall: debugging becomes difficult; tracing a problem after five agents have processed an alert can be painful.

5. Shared‑State Pattern

All agents read and write to a common database or filesystem without a central coordinator.

Applicable scenarios: collaborative research where one agent’s discovery can be immediately used by others. Pitfall: risk of infinite read‑write loops (A writes, B reads, B writes, A reads), leading to excessive token consumption.

Core recommendation: Begin with the simplest pattern that meets the need and only adopt more complex architectures when a bottleneck forces it; avoid choosing intricate designs merely for show.

The full guide contains additional technical details and comparative case studies worth bookmarking.