Deploy a Multi-Agent Workflow
Deploying a multi-agent workflow with Coral involves composing specialised agents that collaborate through structured threads managed by the Coral Server. Each agent participates with a defined role, scoped memory, and capability set enabling secure and modular coordination.
This page outlines the recommended steps to launch and run a functional multi-agent system using the Coral Protocol.
Start by identifying the individual components of your workflow. Each role should map to a specialised agent, such as:
- Planner Agent: Handles task breakdown and delegation
- Data Agent: Retrieves or ingests information
- Computation Agent: Executes calculations or reasoning
- Interface Agent: Manages user-facing interactions
Each agent should:
- Be built or adapted using the Coralizer CLI
- Expose tools defined in the
coral.yaml
config - Declare its memory scope and function metadata
Tips for Deployment
- Ensure agents declare only the tools required for their task scope
- Use private memory for persistent state and thread memory for collaboration
- Avoid circular mentions by clearly defining agent roles
Coral enables modular, scalable agent workflows that operate across domains and execution environments. Deploying a multi-agent system with Coral connects independent services into a coherent society of agents → one that collaborates, delegates, and learns over time.