AGNTCon + MCPCon Japan 2026: Full Schedule

2026 September 10-11 | Tokyo, Japan
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IMPORTANT NOTE: Timing of sessions and room locations are subject to change.

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09:00 JST

Keynote: Welcome - Mazin Gilbert, Executive Director, The Agentic AI Foundation

Friday September 11, 2026 09:00 - 09:10 JST

Hall C

Speakers

Mazin Gilbert

Executive Director, AAIF, The Linux Foundation

Mazin Gilbert is the Executive Director of the Agentic AI Foundation, part of the Linux Foundation. An IEEE Fellow with a Ph.D. in Artificial Intelligence and a Wharton MBA, Mazin brings 25+ years of experience driving AI innovation from research to global-scale deployment. His career... Read More →

Friday September 11, 2026 09:00 - 09:10 JST
Hall C

Keynote Sessions

09:10 JST

Keynote Session to be Announced

Friday September 11, 2026 09:10 - 09:20 JST

Hall C

Friday September 11, 2026 09:10 - 09:20 JST
Hall C

Keynote Sessions

09:25 JST

Keynote: Skills Over MCP: From Experiment to Extension - Ola Hungerford, Principal Engineer, Nordstrom

Friday September 11, 2026 09:25 - 09:35 JST

Hall C

Tool descriptions tell an agent what a tool can do, but not how to orchestrate those capabilities toward a goal, or supplement them with specialized knowledge. Agent skills have become a popular and accessible way to close that gap, and many organizations now ship skills alongside their servers. The community effort to standardize that pairing has drawn 50+ contributors from 25+ organizations across the entire AI infrastructure stack: cloud platforms, data platforms, enterprise SaaS, gateways, and independent implementers. This talk covers where that momentum is headed, and how Extensions let the protocol evolve to meet real-world demand while balancing the stability, security, and developer experience that production systems require.

Speakers

Ola Hungerford

Principal Engineer, Nordstrom

Ola Hungerford is a Principal Engineer at Nordstrom and a maintainer and community moderator for the Model Context Protocol. She leads AI enablement initiatives while contributing to MCP’s specification, developer tooling, documentation, and community governance. Ola comes from... Read More →

Friday September 11, 2026 09:25 - 09:35 JST
Hall C

Keynote Sessions

09:40 JST

Keynote: Manik Surtani, Chief Technology Officer, The Agentic AI Foundation & Paul Conyngham, Founder, Gamgee

Friday September 11, 2026 09:40 - 09:45 JST

Hall C

Speakers

Paul Conyngham

Founder, Gamgee

Paul Conyngham is an AI-innovation leader whose personal journey to help his dog Rosie through complex cancer treatment sparked broader conversations around personalised veterinary medicine and AI-supported care pathways. Following national media attention, Paul has engaged with veterinarians... Read More →

Manik Surtani

CTO, Agentic AI Foundation

Friday September 11, 2026 09:40 - 09:45 JST
Hall C

Keynote Sessions

10:05 JST

One Proxy To Rule Them All: MCP, LLM, and A2A - Bharath Nallapeta, Mirantis Inc.

Friday September 11, 2026 10:05 - 10:30 JST

Hall C

A working agent ends up talking to a lot of things: a handful of MCP servers, two or three LLM providers, maybe another agent. Each one is a separate integration you wired in yourself, with its own auth and its own logging, or its own lack of it. Nothing sees all of it at once.

agentgateway is trying to be the thing that does. It's an open-source Rust proxy, an Agentic AI Foundation project as of this year, that sits in front of MCP, LLM, and A2A traffic together. The talk is mostly the gateway running on screen.

Four separate MCP servers go behind one endpoint and show up to the agent as a single list of tools. Claude Code connects to that one address and never finds out the tools live in four different places. One short rule, and a tool you don't want exposed stops showing up at all: not blocked, just never offered. Point the model traffic through the same gateway and a provider can drop mid-demo without the agent noticing, the whole thing readable as one trace.

Underneath the protocols, the idea is simple: an agent reaching into the world should go through one door someone is watching, not a hundred that nobody is. Building that door is what the talk is about.

Speakers

Bharath N R

OSPO Lead, Mirantis Inc.

Bharath Nallapeta leads the Open Source Program Office at Mirantis. He works across AI and Agentic systems, Kubernetes, and NVIDIA GPU infrastructure, and contributes to open source projects including Cluster API (CAPI)
and Cluster API Provider OpenStack (CAPO). Before Mirantis he built platforms at Red Hat and Stakater. He speaks regularly at conferences and meetups, and is focused on making AI and Agentic workloads practical, portable, and safe to run in production... Read More →

Friday September 11, 2026 10:05 - 10:30 JST
Hall C

Protocols & Standards

Audience Level Beginner

10:40 JST

How I Built the Most Viral Agentmemory Completely Opensource With 22K+ GitHub Stars - Rohit Ghumare, iii & Vinuja Khatode, JP Morgan Chase

Friday September 11, 2026 10:40 - 11:05 JST

Hall C

Most agent memory is a chat log with extra steps. Dump turns into a vector store, retrieve the top-k by cosine similarity, and hope the right context shows up. It usually doesn't, and the agent pays for it three turns later.

agentmemory MCP Server began as a fix for that. It combines BM25, dense vector search, and a knowledge graph, fuses them with reciprocal rank fusion, and ages stored memories on an Ebbinghaus forgetting curve so old context decays instead of drowning new signal. On LongMemEval-S it reaches 95.2% recall
at 5. The repo trended on GitHub, ranked on Product Hunt, got picked up by AlphaSignal, and was recognized by the Agentic AI Foundation, none of it paid for.

This talk covers how it was built and where the easy version breaks. Single-method retrieval looks fine in a demo and falls apart on long histories. I'll show why each method earns its place, how the pieces compose with one engine an agent can query over MCP, and which design decisions held up once real workloads hit them.

You'll leave with a memory model that beats top-k vector search and a clear picture of how to expose it to agents through MCP.

Speakers

Rohit Ghumare

Founding Engineer, iii

As a Google Developer Expert specializing in Google Cloud and GenAI, I am a passionate DevOps Advocate and a dedicated Community Evangelist. I lead and nurture multiple communities across diverse platforms, fostering DevOps and Developer Relations awareness. My commitment to the open-source... Read More →

Vinuja Khatode

Platform Engineer, JP Morgan Chase

A Platform Engineer at JPMorgan Chase and a CNCF community regular and lifelong learner. She’s spoken at global conferences like State of Open Con, KCDs, and DevOpsDays, bringing raw, real-world DevOps and Platform lessons to the stage. Vinuja has also built and scaled platforms... Read More →

Friday September 11, 2026 10:40 - 11:05 JST
Hall C

Agentic Engineering

Audience Level Beginner

11:15 JST

The 3 AM Page: Turning Chaos Into Context With Bounded AI and Structured Evidence - Madhu Patel & Sudhanshu Sah, Adobe

Friday September 11, 2026 11:15 - 11:40 JST

Hall C

AI-powered incident response sounds like the perfect use case for autonomous agents, but giving them unrestricted access to raw alerts and logs can quickly turn automation into hallucination. Whether you're debugging production outages or investigating failed deployments, engineers still spend hours manually correlating signals across disconnected observability tools.

In this talk, we'll break down the anatomy of a reliable agentic incident investigation system and show why structured incident context outperforms raw telemetry, how evidence enrichment improves reasoning, and why bounded context is critical for trustworthy AI agents.

We'll walk through production-ready patterns for building dependable operational agents:
1. Structured evidence gathering from Datadog, New Relic, Splunk, and Prometheus
2. Context engineering through alert correlation and deployment metadata
3. Long-term memory using historical incidents stored in a vector database
4. Human-agent collaboration that validates AI-generated RCAs and continuously improves future investigations.

Thus helping you reduce manual triage, lower MTTR, and build reliable, production-ready AI-driven incident response systems.

Speakers

Madhu Patel

Software Engineer 2 @ Adobe, Adobe

I'm Madhu Patel, a Software Development Engineer at Adobe, where I build large-scale distributed backend services for Creative Cloud and AI-powered platforms.

I graduated from Indira Gandhi Delhi Technical University for Women, one of Asia's largest technical universities for women. My interests include cloud-native architectures, AI agents, Kubernetes, and microservices, with a focus on building secure, scalable, and resilient systems... Read More →

Sudhanshu Sah

Software Engineer 3 @ Adobe, Adobe

SDE 3 with 5 years' experience at the intersection of GenAI, backend engineering, and cloud platforms.
I own core GenAI services, building production-grade ML APIs/SDKs, and shipping 0→1 products from alpha to GA. Currently focused on cloud-native AI infrastructure: architecting deterministic agent workflows on Kubernetes, driving GitOps with ArgoCD, and scaling resilient platforms f... Read More →

Friday September 11, 2026 11:15 - 11:40 JST
Hall C

Building Reliable Agent Systems

Audience Level Intermediate

11:50 JST

Your Agent Starts the Checkout. Then What? - Muskan Jain, Independent

Friday September 11, 2026 11:50 - 12:15 JST

Hall C

Modern agent workflows rarely finish in a single tool call. Commerce, travel, healthcare, and enterprise operations all require multi-step, stateful, failure-prone transactions that span agents, tools, and time. MCP today excels at stateless tool invocation, but production systems demand more: resumability, idempotency, compensation, human-in-the-loop, and trust boundaries.
In this talk, we present a Stateful MCP architecture for long-running transactions, using Universal Commerce Protocol (UCP) checkout flows as a real-world case study. We’ll walk through patterns for durable context, agent coordination, transaction lifecycles, rollback strategies, and human approvals, and show how MCP can serve as the orchestration layer for multi-agent workflows that behave more like distributed systems than chatbots.

Speakers

Muskan Jain

Software Developer, Independent

I'm an SDE-III at Walmart Global Tech India, currently pursuing an MTech in Artificial Intelligence from IISc Bangalore. While I work on platform engineering full-time, I'm deeply interested in applied AI—especially in making intelligent systems more accessible, open-source, and... Read More →

Friday September 11, 2026 11:50 - 12:15 JST
Hall C

Agentic Payments

Audience Level Any

13:30 JST

Stateful Sandboxes for Stateless Agents: Designing Durable Volumes for MCP Tool Workspaces - Weiwei Zhu, Juicedata

Friday September 11, 2026 13:30 - 13:55 JST

Hall C

Agent sandboxes are often described as ephemeral, but real MCP tool workflows are not. Agents edit files, install dependencies, run tests, download inputs, generate reports, and resume after failures. When workspace state is treated as disposable, reproducibility, isolation, and debugging become unnecessarily painful.

This talk presents a practical framework for designing durable volumes in agent sandboxes. Through a structured checklist — covering lifecycle management, tenant isolation, quotas, snapshots, read-only sharing, dependency caches, artifact retention, remount recovery, and audit trails — attendees will learn how to reason about workspace state systematically.

We then map these requirements to Kubernetes PersistentVolumes and explore the tradeoffs using JuiceFS CSI as a concrete open-source example. JuiceFS is used for its strong Kubernetes integration and snapshot capabilities, though the framework applies equally to local containers, serverless environments, and remote tool sandboxes.

Speakers

Weiwei Zhu

Fullstack Engineer, Juicedata

She is a full-stack engineer of Juicedata.Inc, maintainer of JuiceFS CSI driver and Fluid. She is responsible for development and maintenance of JuiceFS in the Cloud-Native ecosystem, completed the implementation and practice of JuiceFS in Kubernetes, and continued to improve the... Read More →

Friday September 11, 2026 13:30 - 13:55 JST
Hall C

Building Reliable Agent Systems

Audience Level Any

14:05 JST

What's Actually Running in Your Coding Agent: The Shadow AI Stack - Alexander Frazer, Runlayer

Friday September 11, 2026 14:05 - 14:30 JST

Hall C

"Every MCP server, skill, and plugin in your coding agent is code or instructions you never really reviewed, running with your access to your database, your repos, and your keys. Three different ways in, and almost nobody is watching any of them."

Most of the agent security conversation is about prompt injection. Meanwhile there are three underserved vectors sitting right inside the tools you use every day:

- **MCP servers** run with the same access you have. One can look clean when you approve it and change its behavior later, or pull in a compromised dependency on the next run.
- **Skills and instruction files** (`SKILL.md`, `AGENTS.md`, `CLAUDE.md`, rules files) are just text. Nothing to install, nothing to flag. They quietly reshape what your agent does, and hidden instructions, zero-width characters, and pipe-to-shell tricks ride in the same way.
- **Plugins** bundle the first two together and ship through marketplaces with uneven vetting, so a single install can bring in both an MCP server and a skill you never opened.

I'll show where each one lives on disk, why the usual tooling misses it.

Speakers

Alexander Frazer

Founding Security Engineer, Runlayer

Alexander Frazer is a Founding Security Engineer at Runlayer, where he works on securing AI agents and the MCP ecosystem. He chairs the AAIF Security & Privacy Working Group, leading the effort to build community consensus around agentic security and privacy standards and best practices... Read More →

Friday September 11, 2026 14:05 - 14:30 JST
Hall C

Building Reliable Agent Systems

Audience Level Intermediate

14:40 JST

Building an Agentic Software Factory - Valentin De Matos, Delphi

Friday September 11, 2026 14:40 - 15:05 JST

Hall C

AI coding agents are useful in isolated demos; the hard problem is making them controlled enough to ship production code. At Delphi, we built an agentic software factory that turns product specs and engineering tickets into scoped pull requests, then routes those PRs through reviewer agents, CI, browser verification, and merge gates.

This session breaks down the operating system around the agents: how we package repo context, encode architectural rules, isolate attempts in worktrees, make agents cite source-of-truth patterns, prevent drift from legacy code, and decide what should stay human-controlled. I will also cover failure modes we hit in production: stale context, over-broad diffs, flaky tests, review spam, false confidence, and agents copying the wrong pattern.

Attendees will leave with a practical blueprint for moving from “agent writes code” to a controlled delivery pipeline for agent-generated software

Speakers

Valentin De Matos

AI Engineer, Delphi

AI Engineer at Delphi AI in San Francisco, Valentin builds production AI systems for digital twins, agent behavior, and AI-assisted engineering workflows.

Friday September 11, 2026 14:40 - 15:05 JST
Hall C

Agentic Engineering

Audience Level Advanced

15:35 JST

Governed Agent Autonomy: Building a Control Plane for Agentic Systems - Nnenna Ndukwe, Qodo AI

Friday September 11, 2026 15:35 - 16:00 JST

Hall C

We see how quickly AI coding tools and agent harnesses are improving. But how can the surrounding system keep that autonomy governable once an agent starts planning, executing tools, changing files, and consuming budget on a team’s behalf?

In this talk, I break down a technical case study based on a real AI coding control-plane architecture and show how serious systems structure autonomy through explicit boundaries: plan gates, permission controls, trust review, independent verification, and runtime observability. I will walk through the patterns and production-grade examples, explain why telemetry and quota tracing are integral to code governance, and show why integrity failures can still happen even with strong coding workflows.

This session gives engineering leaders and practitioners a framework for evaluating AI coding tools. The goal is to achieve agent governance that teams can trust, audit, and scale.

Speakers

Nnenna Ndukwe

AI Developer Relations Engineering Lead, Qodo AI

Nnenna Ndukwe is a Developer Relations Engineering Lead and Software Engineer, passionate about AI. With 9+ years in industry, she's a global AI community architect championing engineers to build in emerging tech. She studied Computer Science at Boston University and is a proud member... Read More →

Friday September 11, 2026 15:35 - 16:00 JST
Hall C

Building Reliable Agent Systems

Audience Level Advanced

16:10 JST

Beyond Prototypes: Building Enterprise-scale Agentic Systems - Kevin Dubois, IBM & Mauricio "Salaboy" Salatino, Dash0

Friday September 11, 2026 16:10 - 16:35 JST

Hall C

There has been a lot of progress in agentic frameworks (such as Langchain, CrewAI, Autogen, among others), most of them written in and targeting Python developers. These frameworks allow you to build multi-agent systems that are co-located inside the same application.

That works well for fast experimentation and building prototypes, but production systems live or die on scalability, security, observability and governance. At the end of the day agents are software that we need to ship, run an operate on production, much like any other type of enterprise software.

In this session we will show how to build distributed agentic, MCP-connected systems that are ready for enterprise scale. We'll cover real production patterns such as agentic orchestration patterns, MCP interoperability, agent/tool coordination, observability and tracing and enterprise integration reusing our existing platforms.

Speakers

Mauricio Salatino

Ecosystem Engineer, Dash0

Mauricio Salatino, also known as salaboy, works for Dash0 as an Open Source and Ecosystem Engineer. He is a Java Champion, CNCF TOC member, and international Keynote speaker. Before working at Dash0, Mauricio spent the last 15 years building tools for Cloud-Native developers at companies... Read More →

Kevin Dubois

Sr Principal Developer Advocate, IBM

Kevin Dubois is often featured as a (keynote) speaker at conferences around the world, where he shares his passion and knowledge about developer experience, Agentic AI, open source, cloud native development and Java. He is also an author, java Champion, and an accomplished software... Read More →

Friday September 11, 2026 16:10 - 16:35 JST
Hall C

Multi-Agent and Distributed Systems

16:45 JST

Why Traditional AI Benchmarks Fail Voice Agents - Harshita Jain, Smallest AI

Friday September 11, 2026 16:45 - 17:10 JST

Hall C

AI systems are increasingly evaluated using benchmarks designed for individual components: Word Error Rate (WER) for speech recognition, MOS for speech synthesis, latency for infrastructure, and task success for agents. Yet users experience none of these components in isolation when using voice agents, they experience conversations.

Voice agents expose the limitations of traditional evaluation more clearly than any other AI system. An agent can achieve state-of-the-art WER, MOS, and latency metrics while still delivering a frustrating user experience.

This talk explores why established metrics are becoming insufficient for real-time AI applications and introduces a framework for evaluating voice agents holistically. We will examine concepts such as semantic understanding versus transcription accuracy, latency distributions versus averages, interruption handling, recovery from errors, and conversation-level success metrics.

Through real-world examples from production voice systems, attendees will learn how to move beyond component benchmarks and begin measuring what ultimately matters: whether an AI system successfully helps a user achieve their goal.

Speakers

Harshita Jain

Developer Relations Engineer, Smallest AI

I’m a Developer Relations Engineer at Smallest AI, bridging real-time Voice AI and developer communities with focus on enabling developers to build with open-source orchestrators. Before this, I was a Software Engineer at Mobile Premier League where I built real-time networking... Read More →

Friday September 11, 2026 16:45 - 17:10 JST
Hall C

Evaluation & Testing

Audience Level Intermediate

17:20 JST

Your Agent Inherits Code, Not Decisions: How To Use Context Graphs for Intent - Nyah Macklin, Neo4j

Friday September 11, 2026 17:20 - 17:45 JST

Hall C

Technical debt lives in code. Cognitive debt lives in your head. Intent debt, Addy Osmani's term for the goals, constraints, and rationale behind a decision that never got written down, lives nowhere. It's the one debt agents can't pay down: an agent drafting a spec fills the gap with a confident guess, and the guess is usually wrong.

This talk covers building context graphs that capture the why: connecting decisions to the document threads and ticket discussions where humans actually made them, then exposing that structure to agents alongside code and data. I'll draw on an open-source toolkit that bootstraps context graphs from existing work artifacts (workspace threads, ticket histories) and the modeling questions that turned out hard: what separates a decision from a discussion, and when capture should run as a background process versus an explicit act.

Vendors now race to pitch "context layers for agents." I'll argue the differentiator isn't collection but connection: rationale linked to the entities, people, and prior choices it affects: queryable, not just retrievable.

You'll leave with patterns for making the why available to every agent that touches your work.

Speakers

Nyah Macklin

Sr. Developer Advocate, Artificial Intelligence, Neo4j

Nyah Macklin is a seasoned researcher and speaker on AI, ML, Ethics, Governance, and Responsibility. Nyah serves as a Sr. Developer Advocate at Neo4j, specializing in context engineering, knowledge graphs, and AI-driven developer tooling where Nyah has built high-impact technical... Read More →

Friday September 11, 2026 17:20 - 17:45 JST
Hall C

Agentic Engineering

Audience Level Intermediate

09:00 JST

09:10 JST

09:25 JST

09:40 JST

10:05 JST

10:40 JST

11:15 JST

11:50 JST

13:30 JST

14:05 JST

14:40 JST

15:35 JST

16:10 JST

16:45 JST

17:20 JST

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