Architecture9 min read

Multi-Agent Orchestration: Coordinating AI Systems at Scale

FrontierAI Team

2025-01-05T12:00:00Z

The Power of the Swarm

Single agents are powerful, but teams of specialized agents are transformative. Multi-agent orchestration involves coordinating distinct agents—each with a specific role (e.g., Researcher, Writer, Reviewer)—to collaborate on complex tasks.

Architecture Patterns

  1. Hierarchical: A "Manager" agent breaks down the plan and delegates tasks to "Worker" agents.
  2. Sequential Handoffs: Agent A passes its output to Agent B, like an assembly line.
  3. Joint Collaboration: Agents share a workspace and contribute asynchronously.

Managing Complexity

The key challenge in multi-agent systems is communication overhead and conflict resolution. We use strict protocols and shared state management to ensure agents stay aligned on the overall objective without getting into "conversational loops."

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