As artificial intelligence rapidly evolves, single-agent systems increasingly struggle to handle complex real-world tasks. Multi-agent systems have emerged as a solution, enabling sophisticated problem-solving through specialized collaboration. Today, we explore a distributed agent framework built on LangGraph that uses Redis as a message broker, allowing multiple AI agents to work together seamlessly and providing a robust foundation for scalable multi-agent AI systems. What Are Distributed Agent Systems? Imagine a company where experts from different departments work together through efficient communication to complete complex projects. Distributed agent systems adopt this very concept, organizing multiple specialized AI agents where each focuses on …