Failure Modes and Cascading Errors in Multi-Agent Systems
Specification and coordination problems cause most failures, but get caught too late.
Julian Nystrom
Section
8 stories in Multi-Agent Orchestration.
Specification and coordination problems cause most failures, but get caught too late.
MCP's standardized architecture makes multi-agent failures visible before customers find them.
Enterprises need a control plane to govern AI agents consistently across workflows.
Enforce permissions at every layer of your agent chain, not just at the top.
How to stop over-permissioned agents from leaking access through every downstream hop.
Enterprise AI agents succeed or fail on cost, reliability, and access control—not just accuracy.
How LangGraph and AutoGen solve multi-agent coordination differently.
Governance and connectivity are separate problems; most enterprises solve only one.