Interoperability Working Group
Mission: To establish effective agent-to-agent communication patterns by evaluating and implementing standard protocols for enterprise-grade agentic systems.
Problem We Are Trying To Solve: As agentic AI systems grow in complexity, effective communication between agents across different subsystems becomes crucial. Organizations face challenges in implementing standardized agent-to-agent interactions, including:
- Choosing appropriate communication protocols and architectures
- Implement inter-agent messaging (direct messaging, broadcasting, API and standard protocol based interaction)
- Implementing security measures and guardrails
- Optimizing for latency, scalability, and performance
- Integrating components like Agent Gateways and Mesh systems to facilitate session fan-out, bidirectional SSE, protocol negotiation or per-agent tenancy
There's a need for practical guidance on implementing these systems effectively in enterprise environments, considering various protocols and architectural patterns.
Purpose: The working group is dedicated to developing and promoting open standards for effective communication and interaction between AI agents and systems. This initiative encompasses areas and industry standards such as Agent-to-Agent (A2A) Protocol for seamless inter-agent communication, Model Context Protocol (MCP) for standardized tool access, and unified agent communication mechanisms and messaging formats. By collaboratively establishing these standards and providing reference architectures, the community aims to create a robust foundation for interoperable AI systems.
Working Group Information
Slack: #agentic-community-wg-interoperability
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