AGNTCon + MCPCon Japan 2026

In the agentic AI space, standards like MCP and A2A and a growing OSS ecosystem are evolving. Yet building a real multi-agent system requires more than a single framework or protocol. It involves integrating multiple OSS components and adjacent specifications across areas such as agent-to-agent communication, orchestration, authentication, and observability. There is limited shared understanding of how to combine them and what architectural considerations and integration gaps emerge.

This session shares our work on organizing the landscape of OSS-based agentic AI stacks, and on designing architectures built around MCP, A2A, and representative OSS, including prototyping through reference implementations. We explore several architectural patterns from a whole-system perspective. With enterprise use in mind, our scope also covers cross-cutting concerns such as authentication and observability. (LLMs are currently proprietary.)

Through this work, we examine what each OSS layer solves and does not solve, and highlight cross-layer concerns that emerge only when components are integrated as a multi-agent system. We share these observations with a demo of the reference implementation.