Why Most Multi-Agent Systems Fail in Production (And How to Fix It)

The key issue with multi-agent systems is that they often look great during demos but fail miserably in real-world scenarios due to poor orchestration. The root cause is typically not the language models themselves but the lack of structured communication and retry strategies between agents, leading to conflicts and silent failures. Addressing these issues involves implementing better message handoffs and retry mechanisms to ensure agents can effectively coordinate and recover from errors. This matters because it highlights the need for robust system design to transition from impressive demos to reliable production use.