Agent Crew
What is Agent Crew in ZBrain Builder?
Agent Crew is a multi-agent orchestration capability within ZBrain Builder that enables enterprises to execute complex, multi-step tasks through the coordinated efforts of multiple AI agents. Instead of relying on single agents for isolated actions, Agent Crew allows organizations to design, manage, and monitor interconnected agents that work in a structured, hierarchical setup to achieve end-to-end task automation.
At its core, the Agent Crew framework introduces a new coordination model—where a supervisor agent governs one or more subordinate/child agents, defining the logic for how each task is delegated, executed, and validated. This modular hierarchical approach simplifies complex automation scenarios by breaking them into manageable, role-specific tasks, improving both transparency and control.
Core concepts
Supervisor agent
The supervisor agent acts as the central decision-maker within a crew. It:
Receives the primary input for the entire workflow.
Determines how the input should be processed.
Delegates specific tasks to child agents based on pre-configured logic.
Evaluates outputs from child agents and decides on the next action.
Child agents
Subordinate agents are task-specific agents configured to handle well-defined parts of the overall workflow. They:
Operate autonomously within their scoped instructions.
Use tools, functions, or integrations to perform parsing, API calls, or data extraction.
Return results to the supervisor agent or perform follow-up tasks if part of a sequential chain.
Crew
A crew is a logical unit that includes the supervisor and its child agents. The crew structure:
Defines how agents interact.
Establishes dependencies between agents.
Supports testing as a single coordinated unit.
Orchestration frameworks
ZBrain Builder agent crew supports multiple orchestration frameworks, giving users flexibility in how multi-agent workflows are modeled:
LangGraph: Supports stateful, graph-based agent execution. Useful for workflows with complex branching logic and persistent context across agent interactions.
Google ADK: A modular, model-agnostic framework for building and deploying AI agents with flexible orchestration patterns, multi-agent hierarchies, and built-in evaluation—optimized for developer-friendly agent workflows.
Microsoft Semantic Kernel: An open-source, extensible framework for building AI agents that combine natural language capabilities with traditional programming, enabling task planning, memory integration, and tool use through flexible, plugin-based orchestration.
Users can choose the appropriate framework based on how dynamic or deterministic their automation needs are.
Summary
Agent Crew introduces structured, modular orchestration to enterprise-grade multi-agent systems. It enables a supervisor-subordinate setup where a central agent governs task flow and coordination, while specialized child agents execute individual steps. This architecture supports tool-based task execution, flexible orchestration logic, and integration with external systems through MCP.
With Agent Crew, enterprises can streamline complex tasks using intelligent agents that are observable, secure, and easy to manage at scale.
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