Multiple agents debate a topic from different perspectives, then a judge agent synthesizes the best answer.
Deploy in 20 minThis is what your OpenClaw config looks like. Deploy it on Clawctl in 20 min.
# openclaw.json — Debate Agents
{
"name": "Debate Judge",
"model": "anthropic/claude-sonnet",
"system": "Facilitate a debate. Agent A argues for, Agent B argues against. Run 3 rounds. Then synthesize the strongest arguments into a balanced conclusion.",
"agents": {
"advocate": { "model": "anthropic/claude-sonnet" },
"critic": { "model": "anthropic/claude-sonnet" }
}
}Multiple perspective agents
Structured debate rounds
Judge agent for synthesis
Configurable debate rules
Transcript audit trail
Strategic decision analysis
Risk assessment from multiple angles
Content quality improvement through adversarial review
Research requiring balanced perspective
Includes 70+ approval gates, encrypted secrets, and full audit trail. Production-ready.
Typically 2-4. More agents means longer debates but more perspectives.
The judge evaluates argument quality, not position. Configure the judge to prioritize evidence and logic.
Anytime you want to stress-test an idea, evaluate risks, or get balanced analysis before making a decision.
20 min to deploy. $49/month. Full security included. No DevOps required.
Get Started with ClawctlSupervisor-Worker Pattern
A supervisor agent that delegates tasks to specialized worker agents and aggregates their results.
Pipeline Pattern
Sequential pipeline where each agent processes and passes output to the next stage.
Research Team
A team of agents that research a topic in parallel, each covering different sources and angles.