You NEED to set up a multi agent team with OpenClaw and Hermes

The video outlines the benefits of a multi-agent AI system, specifically pairing OpenClaw and Hermes to achieve greater reliability and performance. The creator explains that having these two agents work in tandem prevents downtime, as one can fix errors or performance issues identified by the other. The tutorial covers practical use cases including a 'supervisor-builder' workflow for automating app development and a monitor system for running scheduled background tasks. The creator also introduces a 'shared memory' concept, using Obsidian to centralize context and learning across agents. By leveraging the specific strengths of each agent—using higher-performance models for planning and cheaper, more performant models for execution and monitoring—users can build more resilient and cost-effective AI systems.