AGNTCon + MCPCon Japan to Convene Builders Advancing Production-Ready Agentic AI

Industry leaders and open source innovators from SoftBank, Hitachi, NTT, Google, Microsoft, Anthropic, and more will gather in Tokyo to explore the standards, infrastructure, security and governance needed to operate AI agents in production.

Summary

• The Agentic AI Foundation (AAIF), hosted by The Linux Foundation, has published the official conference schedule for AGNTCon + MCPCon Japan 2026, taking place September 10-11, 2026, at Belle Salle Shibuya Garden in Tokyo.
• The two-day technical program focuses on the practical realities of agentic AI adoption: how teams design systems that can act reliably, connect safely to tools and enterprise data, coordinate across agents, and operate under real world constraints.
• Keynote speakers and technical tracks will cover the core challenges of agentic AI, from reliable multi-agent system design and evaluation to governance, observability, security, and enterprise-scale deployment.

TOKYO, Aug. 24, 2026 /PRNewswire/ -- AGNTCon + MCPCon Japan — The Agentic AI Foundation (AAIF), the neutral home where the agentic stack is being built, is highlighting the official schedule for AGNTCon + MCPCon Japan 2026. Taking place September 10-11, 2026, at Belle Salle Shibuya Garden in Tokyo, the conference brings together the Asia-Pacific developer ecosystem to exchange ideas, share best practices, and explore the state of agentic infrastructure.

As enterprises across Japan move AI agents into systems their businesses depend on, the questions get harder including where to draw trust boundaries when multiple agents interact, how to enforce approval gates and audit trails, and how to verify an agent's output. The AGNTCon + MCPCon Japan program was built around these questions, with more than 40 sessions providing real world evidence, honest trade offs, and lessons practitioners can put to work immediately.

"The rapid adoption of open agent frameworks and protocols across Japan underscores a clear demand for reliable, secure, and interoperable AI systems," said Mazin Gilbert, Executive Director of the Agentic AI Foundation. "As developers move from experimental prototypes to mission-critical systems, this conference showcases the hard technical work happening across Asia-Pacific, from tool integration and sandboxing to multi-agent coordination, evaluation and enterprise governance."

Highlights at AGNTCon + MCPCon Japan 2026 include:

Designing Trustworthy Agent Systems

As agentic systems move closer to enterprise data, internal tools, and operational workflows, teams need clear boundaries for what agents can access, who controls decisions, and where governance should be enforced. Explore practical approaches to trust, oversight, and control in multi-agent environments.

Session highlight: Designing Trust Boundaries for Agent-to-Agent Systems: Lessons Learned from a Technical PoC – Ryuji Iijima, SoftBank Corp.

Building the Open Agentic Stack

Agentic AI requires more than a single framework. Teams are combining open source components, orchestration layers, authentication systems, observability tools, and emerging multi-agent patterns into complete architectures. Learn how leading engineering teams navigate open source integration to build complete, production-ready agent platforms.

Session highlight: What's Missing in the Open Agentic Stack: Lessons From OSS Integration – Tatsuya Sato & Satoshi Ito, Hitachi, Ltd.

Evaluating Agents Before Production

As agents become more autonomous, traditional testing approaches are not enough. Teams need ways to evaluate routing behavior, tool use, prompt changes, regressions, and edge cases before systems reach production. Explore practical methods for making agent behavior more measurable, repeatable, and safe to deploy.

Session highlight: From Clicks To Context: Building an Open-Source Evaluation Pipeline for AI Agents - Inês Bolaños, PagerDuty

Sessions span nine tracks including Building Reliable Agent Systems, Multi-Agent and Distributed Systems, Agentic Engineering, and Interoperability, Protocols & Standards, with speakers from companies including Adobe, Anthropic, Google, IBM, JP Morgan Chase, Microsoft, Red Hat, Uber, and Walmart Global Tech, alongside Japan's open source and AI engineering community including Hitachi, SoftBank, and NTT.

MCPCon, the conference's dedicated MCP track, offers protocol builders and tool developers deep coverage of the fast-moving MCP ecosystem, including authorization and identity, the latest transport and task lifecycle specifications, running MCP infrastructure at scale, and a keynote by the protocol's co-creator, David Soria Parra, Member of Technical Staff at Anthropic.

To view the complete schedule for AGNTCon + MCPCon Japan 2026, visit: events.linuxfoundation.org/agntcon-mcpcon-japan/program/schedule/

Certification & Hands-On Opportunities
Attendees will also have discounted access to dedicated pathways for the Model Context Protocol Associate (MCPA) Certification, providing developers and architects with structured opportunities to validate technical proficiency in MCP standards, tooling, and ecosystem practices.

Registration
Standard registration for AGNTCon + MCPCon Japan is available until Friday, September 11, 23:59 JST.

Sponsorship
AGNTCon + MCPCon Japan 2026 is made possible through industry leaders, including:

• Platinum Sponsor: Hitachi
• Gold Sponsor: Akamai, Auth0 by Okta, Neo4j, StepFun

To learn more about becoming an event sponsor, click here.

About the Agentic AI Foundation
The Agentic AI Foundation (AAIF) is the neutral home where the agentic stack is being built. With founding projects including MCP, goose, AGENTS.md, and agentgateway, AAIF governs the core standards and protocols that enable agents to operate interoperably across platforms. Through transparent governance and broad industry participation, AAIF is driving adoption and ensuring agentic AI infrastructure evolves openly, predictably, and at production scale. For more information, please visit aaif.io.

Media Contact
Sarah Zonouzi
Agentic AI Foundation
[email protected]

SOURCE Agentic AI Foundation