The Agent Service Bus in Practice
The Agent Service Bus framework defines five capabilities for cross-agent coordination: Capability Discovery, Intent Resolution, Contract Negotiation, Conflict Arbitration, and Routing and Orchestration. This article maps each function to current implementations across vendor platforms (Microsoft Agent 365, ServiceNow AI Control Tower, AWS Bedrock AgentCore) and open-source frameworks (LangGraph, CrewAI, AutoGen). Capability Discovery is the most mature function, with A2A Agent Cards and vendor registries providing usable tooling. Routing and Orchestration is strong within individual frameworks. But Contract Negotiation is handled through static configuration rather than dynamic negotiation, and Conflict Arbitration has almost no cross-platform implementation despite being the function that matters most when agents disagree. The pattern is consistent: every function works within a single ecosystem and breaks at vendor boundaries.
The Agent Service Bus: The Most Important Infrastructure Nobody Is Building
Everyone is talking about AI models and agent platforms. Almost nobody is talking about the infrastructure that makes agents actually work together. In this second article of Arion Research's "Future Enterprise" series, we examine the Agent Service Bus, the most strategically important layer in the enterprise AI stack and the one getting the least attention. We break down the five functions it must perform, assess where current protocols (A2A, MCP) fall short, and explore who will build the missing pieces.
The Agentic Service Bus: A New Architecture for Inter-Agent Communication
As enterprises deploy more AI agents across their operations, a critical infrastructure challenge is emerging: how should these agents communicate with each other? The answer may reshape enterprise architecture as profoundly as the original service bus did two decades ago.