> For the complete documentation index, see [llms.txt](https://docs.workfx.ai/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.workfx.ai/workfx-companion-agent-knowledge/workforce-factory/multi-agent.md). # 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 --- # Agent Instructions This documentation is published with GitBook. GitBook is the documentation platform designed so that both humans and AI agents can read, navigate, and reason over technical content effectively. Learn more at gitbook.com. ## Querying This Documentation If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question. Perform an HTTP GET request on the current page URL with the `ask` query parameter, and the optional `goal` query parameter: ``` GET https://docs.workfx.ai/workfx-companion-agent-knowledge/workforce-factory/multi-agent.md?ask=&goal= ``` `ask` is the immediate question: it should be specific, self-contained, and written in natural language. `goal` is optional and describes the broader end goal you are ultimately trying to accomplish on behalf of the user. GitBook uses it to tailor the answer towards what is most useful for that goal. The response will contain a direct answer to the question and relevant excerpts and sources from the documentation. Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.