SuperAgent is a multi-agent orchestration

SuperAgent is a multi-agent orchestration system built to automate complex, multi-step workflows across research, planning, coding, and general problem-solving tasks.

The platform uses a hierarchical Hub-and-Spoke architecture powered by LangGraph and Google Gemini. A central Supervisor agent interprets the user’s goal, breaks the task into smaller steps, and routes work to specialized agents based on capability.

The system includes a Coder Agent with isolated local code execution, a Generalist Agent for research and ideation, and persistent shared state to maintain context across agent handoffs. A React-based management dashboard provides visibility into agent activity, workflow progress, and approval-required actions.

Safety is a core part of the design. SuperAgent applies iteration limits to control runaway execution and requires human approval before sensitive code execution steps proceed. The code-execution workspace is isolated through Docker-based containerization.

I designed and developed the agent architecture, orchestration flow, safety model, code-execution environment, persistent context layer, backend services, and management dashboard.