agent-council

Multi-agent debate improves complex problem solving by assigning distinct roles like Explorer and Validator to AI agents that critique each other's outputs. This adversarial workflow identifies weaknesses in architectural designs or code to ensure robust, high-quality decisions.

Yes, you can use multi-agent collaboration to brainstorm architecture designs by running agents in a collaborative mode. Agents build on each other's ideas to synthesize comprehensive, creative solutions from multiple perspectives for your design decisions.

The best way to stress-test critical code for security vulnerabilities is using an adversarial multi-agent workflow. Agents engage in rigorous debate to challenge potential weaknesses, ensuring the final code withstands critical security reviews.

Yes, multi-agent workflow supports both code analysis and research writing through adaptive domain focus. It manages parallel execution and sequential phases across code, architecture, research, and writing domains to generate comprehensive outputs.

Use collaborative mode when you need agents to build on each other's ideas for comprehensive brainstorming and creative solutions. Use adversarial mode when you need agents to debate and critique work to identify weaknesses and arrive at the most robust answer.

You orchestrate parallel execution in a multi-agent debate workflow by defining distinct agent roles like Minimalist and Builder across adaptive domains. The system manages parallel execution and sequential phases to efficiently resolve complex problems.