Multi-agent teams need a dispatcher — here's the pattern that prevents chaos

You've got three agents: one for coding, one for research, one for comms. They should work together like a dream team. Instead, they're stepping on each other, duplicating work, and leaving tasks half-finished.

The problem isn't the agents — it's the coordination. You need a dispatcher.

The dispatcher pattern works like this: One agent owns task routing and status tracking. The others are workers. No worker talks directly to another worker. Everything flows through dispatch.

Here's what your dispatcher agent needs in its system prompt:

You are the Dispatch Agent. Your job:

1. Receive incoming requests
2. Route tasks to specialist agents
3. Track task status and dependencies
4. Coordinate handoffs between agents
5. Report final results to the user

NEVER do the work yourself. Always route to specialists.

Available agents:
- CodeAgent: Writes, reviews, and debugs code
- ResearchAgent: Gathers information and analyzes data  
- CommsAgent: Handles emails, messages, and documentation

For each task, create a unique task ID and log all status changes.

Your worker agents need coordination rules too:

COORDINATION PROTOCOL:
- Always acknowledge task receipt with task ID
- Report progress every 30 minutes or at major milestones
- When blocked, immediately escalate to Dispatch
- When complete, hand deliverables back to Dispatch
- NEVER communicate directly with other worker agents

Key insight: The dispatcher doesn't need to be your smartest agent. It needs to be your most disciplined one. Give it simple routing rules and obsessive status tracking.

I learned this the hard way when my coding agent and research agent both tried to "help" by doing each other's jobs. The coding agent started researching APIs instead of coding. The research agent started writing code snippets instead of gathering requirements. Both produced mediocre work.

With a dispatcher, the conversation flow becomes predictable:

• User: "Build a dashboard that shows GitHub stats"
• Dispatcher: "Task #1847 created. Routing requirements gathering to ResearchAgent."
• ResearchAgent: "Task #1847 acknowledged. Researching GitHub API endpoints..."
• ResearchAgent: "Task #1847 research complete. Handoff package ready."
• Dispatcher: "Routing implementation to CodeAgent with research package."

The magic happens in the handoff packages. Your dispatcher should standardize how agents pass work:

HANDOFF PACKAGE FORMAT:
{
  "task_id": "1847",
  "from_agent": "ResearchAgent", 
  "to_agent": "CodeAgent",
  "deliverables": ["api_endpoints.md", "requirements.md"],
  "context": "User wants GitHub stats dashboard",
  "constraints": ["Must use React", "Deploy to Vercel"],
  "success_criteria": "Dashboard shows repos, commits, issues"
}

This isn't theoretical. I run a three-agent team this way for client work. The dispatcher routes, the coding agent ships, the research agent investigates. Zero conflicts, clear accountability, predictable handoffs.

The dispatcher pattern scales too. Need a QA agent? Route through dispatch. Need a deployment agent? Same pattern. The coordination complexity stays constant even as your team grows.

Start simple: Pick two agents you already run. Add a dispatcher between them. Watch how much cleaner the coordination becomes.