Multi-Agent

Multi-Agent systems in Workforce Factory enable you to orchestrate multiple specialized agents to collaboratively solve complex tasks through intelligent coordination and delegation. Unlike single agents that handle tasks independently, multi-agent systems leverage the combined expertise of multiple agents to achieve outcomes that exceed individual agent capabilities.

Overview

Multi-Agent systems in Workforce Factory provide two primary orchestration patterns:

• Supervisor-Managed: A supervisor agent autonomously coordinates and delegates tasks to specialized worker agents based on their expertise

• Manual Orchestration: Individual agents function as nodes in a workflow, giving you direct control over task routing and data flow

Key Components

Supervisor Architecture

The supervisor acts as an intelligent coordinator that:

• Analyzes incoming requests and breaks them into sub-tasks

• Selects appropriate worker agents based on their specializations

• Delegates tasks autonomously without manual intervention

• Aggregates results from multiple agents into cohesive responses

Agent Nodes

Published agents can be imported as individual nodes, allowing you to:

• Maintain manual control over task execution flow

• Configure specific input parameters for each agent

• Build complex workflows that combine multiple specialized agents

• Create deterministic processes with predictable outcomes

When to Use Multi-Agent

Multi-agent systems are ideal for:

• Complex Problem Solving: Tasks requiring multiple areas of expertise (research + analysis + reporting)

• Parallel Processing: Independent sub-tasks that can be executed simultaneously by different agents

• Specialized Workflows: Processes where different agents excel at specific types of work

• Scalable Operations: Systems that need to adapt based on workload complexity