Multi-Agent Systems Don't Fail on AI—They Fail on Orchestration

Most multi-agent system failures in production stem not from AI limitations but from poor orchestration and lack of structured communication between agents. AgentForge solves this with JSON-based inter-agent protocols, automatic circuit-breaker retry logic, and comprehensive execution tracing, enabling production pipelines that degrade gracefully instead of crashing completely. As companies move from LLM experimentation to production-scale multi-agent systems, orchestration infrastructure has become the critical bottleneck determining success or failure.