The original title is: "Multi-Agent Coordination Is Failing In Production: Why Infrastructure Matters"

Short summary

Multi-agent AI workflows are failing in production because coordination patterns that work on paper break across different runtimes. The core problems are missing shared context, no durable state handoff, and lack of cross-runtime visibility between agents on platforms like Claude, Cursor, and Bedrock. Teams that succeed build coordination memory, durable handoffs, cross-runtime visibility, immutable audit trails, and per-agent identity into their orchestration infrastructure.

• •57% of organizations deploy multi-step agent workflows but coordination patterns fail across runtimes
• •Three common patterns (sequential, group chat, collaborative reasoning) each break without proper infrastructure
• •Solutions require coordination memory, durable handoffs, cross-runtime visibility, and immutable audit trails

Generated with AI, which can make mistakes.