Why Multi-Agent Systems Fail: Production Lessons from AgentForge

As organizations move toward multi-agent AI systems, the gap between theory and production reality becomes critical. AgentForge's six months of real-world deployment reveals that success depends less on individual agent capability and more on orchestration architecture—proper failure handling, detailed observability, memory management, and cost optimization. These lessons are essential for anyone building scalable multi-agent systems.