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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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Friday, September 11
 

09:00 JST

Keynote: Welcome - Mazin Gilbert, Executive Director, The Agentic AI Foundation
Friday September 11, 2026 09:00 - 09:10 JST
___________________________
Presentation Language: English

Captioning will be available for attendees in 50+ languages through Wordly. See instructions in each room to utilize captioning.

Speakers
avatar for Mazin Gilbert

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

Sponsored Keynote: From Consumers to Contributors: Why Japan Must Join the Agentic AI Upstream - Yoshiyuki Tabata, Chief OSS Consultant, Hitachi
Friday September 11, 2026 09:10 - 09:20 JST
Japan is rapidly embracing Agentic AI. New products, services, and platforms are emerging as organizations explore how AI agents can transform the way we work and build software.

Yet an important question remains:

Who is building the technologies that define the future of AI agents?

Behind every protocol, specification, and open source project is a community shaping how agents communicate, collaborate, authenticate, authorize, and make decisions. These communities are defining the foundations of the Agentic AI ecosystem.

While participation in upstream communities continues to grow worldwide, Japan's presence in the development of the standards and infrastructure behind this ecosystem remains limited.

As AI agents become more widely adopted, adoption alone is not enough. Open source projects and standards bodies are determining how the ecosystem evolves, and participation in these communities allows organizations and individuals to help shape that future.

The future of Agentic AI is being built today through open source projects, technical standards, and the communities behind them.

Will Japan remain a consumer of that future, or become a contributor to it?

___________________________
Presentation Language: English

Captioning will be available for attendees in 50+ languages through Wordly. See instructions in each room to utilize captioning.
Speakers
avatar for Yoshiyuki Tabata

Yoshiyuki Tabata

Chief OSS Consultant, Hitachi
Yoshiyuki Tabata is a Chief OSS Consultant at Hitachi OSPO with more than a decade of experience in identity and access management (IAM), authentication, authorization, and API security. He is a contributor to Keycloak, a co-author of the CNCF IAM Whitepaper, and serves as Tech Lead... Read More →
Friday September 11, 2026 09:10 - 09:20 JST
Hall C
  Keynote Sessions

09:25 JST

Sponsored Keynote: Beyond the Model: Control and Execution for Enterprise AI - Allan Teng, Founder & Senior Advisor, APAC & Japan | General Manager & Vice President, Workato Japan, Workato
Friday September 11, 2026 09:25 - 09:35 JST
AI models and agent frameworks are advancing rapidly, but intelligence alone does not make an organisation agentic. To create real value, agents must safely interact with enterprise systems, data, people and business processes.

This keynote explores the architectural challenge beyond the model: building a control and execution layer for enterprise AI. MCP is an important step toward interoperable agent-to-tool interaction, but production systems also require identity, least-privilege access, policy enforcement, human approvals, orchestration, observability and auditability.

The session will offer a practical framework for thinking about how open protocols and agent systems can move from impressive demonstrations to trusted, scalable enterprise action. The central question is not whether an agent can use a tool, but whether an enterprise can safely allow it to do meaningful work.

___________________________
Presentation Language: English

Captioning will be available for attendees in 50+ languages through Wordly. See instructions in each room to utilize captioning.

Speakers
avatar for Allan Teng

Allan Teng

Founder & Senior Advisor, APAC & Japan | General Manager & Vice President, Workato Japan, Workato
Allan is an entrepreneur, business builder, and cross-border leader focused on helping enterprises drive measurable outcomes through automation and AI adoption. He currently serves as Vice President and General Manager for Workato Japan, and Senior Advisor for Workato Asia Pacific... Read More →
Friday September 11, 2026 09:25 - 09:35 JST
Hall C
  Keynote Sessions
  • Audience Level Any
  • Presentation Language English

09:40 JST

Keynote: Skills Over MCP: From Experiment to Extension - Ola Hungerford, Principal Engineer, Nordstrom
Friday September 11, 2026 09:40 - 09:50 JST
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.

___________________________
Presentation Language: English

Captioning will be available for attendees in 50+ languages through Wordly. See instructions in each room to utilize captioning.

Speakers
avatar for Ola Hungerford

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 09:40 - 09:50 JST
Hall C
  Keynote Sessions

10:20 JST

Building Local Regression Testing and Evals for ADK Agents - Thu Ya Kyaw, Google
Friday September 11, 2026 10:20 - 10:45 JST
The hardest part of agentic engineering isn't writing the code; It’s proving that a prompt tweak or a new tool schema didn't completely break your agent's routing logic. Traditional unit testing falls short when dealing with non-deterministic agent trajectories.

This session looks at how to build an automated local evaluation and regression testing pipeline for ADK workflows. We will walk through how to programmatically mock tool responses, simulate user edge cases, and run parallel assertions against agent trajectories using open-source evaluation frameworks. Attendees will learn how to catch infinite loops, detect tool-calling degradation, and establish a baseline scoring rubric for agent accuracy before code ever hits a production branch.

___________________________
Presentation Language: English

Captioning will be available for attendees in 50+ languages through Wordly. See instructions in each room to utilize captioning.

Speakers
avatar for Thu Ya Kyaw

Thu Ya Kyaw

Senior Developer Relations Engineer, Google
Thu Ya Kyaw is a Senior Developer Relations Engineer for Google Cloud. At Google, he helps to make learning, developing, deploying, and scaling applications on Google Cloud a delightful experience for everyone. He is passionate about using AI to solve real-world problems, and he is... Read More →
Friday September 11, 2026 10:20 - 10:45 JST
Hall C
  Evals & Testing

10:20 JST

Skills as Reusable Operational Knowledge - Nimit Savant, DevRev
Friday September 11, 2026 10:20 - 10:45 JST
The next leap in agent engineering is not bigger models. It's reusable skills.

Today, many agents repeatedly spend tokens rediscovering the same workflow every time a task appears. Whether it's code reviews, incident analysis, documentation generation, or research tasks, the agent often re-plans work it has already solved before.

This talk explores how agent skills are emerging as reusable workflow primitives that package expertise, decision-making patterns, and execution steps into portable capabilities. Instead of relying on increasingly large prompts, teams can teach agents repeatable workflows once and reuse them across tasks, products, and environments.


Key Takeaways

- Why prompts don't scale for repetitive work
- Skills as reusable workflow contracts
- Reducing token consumption through workflow reuse
- How skills and MCP work together
- Building self-improving agent systems

___________________________
Presentation Language: English

Captioning will be available for attendees in 50+ languages through Wordly. See instructions in each room to utilize captioning.

Speakers
avatar for Nimit Savant

Nimit Savant

Developer Evangelist, DevRev
I love to talk about Agentic AI and B2B Developer Advocacy and strategies
Friday September 11, 2026 10:20 - 10:45 JST
Hall 1F
  Interoperability & Standards

10:55 JST

Architecture Behind the Most Viral Agent Memory Open Source Project - Rohit Ghumare, DEVREL AS SERVICE & Vinuja Khatode
Friday September 11, 2026 10:55 - 11:20 JST
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.

___________________________
Presentation Language: English

Captioning will be available for attendees in 50+ languages through Wordly. See instructions in each room to utilize captioning.

Speakers
avatar for Rohit Ghumare

Rohit Ghumare

Founder, DEVREL AS SERVICE
Currently, working at iii.dev as founding DevRel. 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... Read More →
avatar for Vinuja Khatode

Vinuja Khatode

Platform Engineer
A Platform Engineer at JPMorganChase 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 10:55 - 11:20 JST
Hall C
  Agentic Engineering

10:55 JST

You Have 1000 Employees and None of Them Have a Name - Marcus Tenorio, Bitso
Friday September 11, 2026 10:55 - 11:20 JST
Your agent swarm is running. It's browsing the web, calling APIs, reading files, making decisions, all on behalf of your users and your organisation. But ask yourself: do you know which agent did what? Can you revoke access to just one of them? Can you prove to an auditor that your agents only touched what they were supposed to?

Probably not. Because most agentic deployments treat agents as anonymous processes : no identity, no credentials, no audit trail, no way to fire them when something goes wrong. If a human employee operated this way, you'd call security. For agents, we call it production.

This talk proposes a fundamentally different approach: onboard your agents like employees. Every agent in your swarm deserves a verifiable identity, scoped permissions, a centralised audit trail, and an offboarding process. Drawing from experience securing cloud native and AI infrastructure, this session presents a blueprint for an open source "Okta for agents"! composing Identity Providers, API gateways, and policy engines to bring the same governance we give humans to the systems acting on their behalf.

You hired 1000 people. It's time to learn their names.

___________________________
Presentation Language: English

Captioning will be available for attendees in 50+ languages through Wordly. See instructions in each room to utilize captioning.

Speakers
avatar for Marcus Tenorio

Marcus Tenorio

Security Engineering Manager, Bitso
Mart is an Infrastructure Security Manager at Bitso, where he enjoys managing various engineers who teach him every day how to break things and become a better manager and engineer. Mart began his journey in cybersecurity trying to understand why so many people liked prime numbers... Read More →
Friday September 11, 2026 10:55 - 11:20 JST
Hall 1F
  Human-Agent Collaboration

10:55 JST

Workshop: From goose to GDK: Building Your Own Agentic Applications - Abhijay Jain, AAIF goose
Friday September 11, 2026 10:55 - 12:30 JST
In this workshop, we’ll talk about goose and goose development kit, and look at the building blocks that make it possible to build your own agentic applications with goose.

We’ll start with goose and the **Goose Reference Client (GRC)**, looking at how the reference client demonstrates the capabilities and patterns of the goose ecosystem. We’ll then dive into the **Goose Development Kit (GDK)** and explore how developers can use its APIs and libraries to incorporate goose capabilities into their own applications.

Through a step-by-step walkthrough and live examples, we’ll look at how the GDK can be used to work with model providers, stream model responses, handle tool calls, and build application-specific experiences on top of goose. We’ll also explore how the reference client and GDK fit together and where different layers of the goose stack make sense for different use cases.

By the end of the workshop, attendees will have a clearer understanding of goose, the role of the Goose Reference Client and GDK, and how they can start using the GDK as a foundation for building their own agentic applications and experiences.

___________________________
Presentation Language: English

Captioning will be available for attendees in 50+ languages through Wordly. See instructions in each room to utilize captioning.

Speakers
avatar for Abhijay Jain

Abhijay Jain

Maintainer & Contributor, AAIF goose

Friday September 11, 2026 10:55 - 12:30 JST
Hall B
  Workshop

11:30 JST

The 3 AM Page: Turning Chaos Into Context With Bounded AI and Structured Evidence - Madhu Patel & Sudhanshu Sah, Adobe
Friday September 11, 2026 11:30 - 11:55 JST
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.

___________________________
Presentation Language: English

Captioning will be available for attendees in 50+ languages through Wordly. See instructions in each room to utilize captioning.
Speakers
avatar for Madhu Patel

Madhu Patel

Software Engineer 2 @ Adobe, Adobe
I'm Madhu Patel, a Software Development Engineer at Adobe, where I work on 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... Read More →
avatar for Sudhanshu Sah

Sudhanshu Sah

Machine Learning Engineer @ Adobe, Adobe
MLE 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... Read More →
Friday September 11, 2026 11:30 - 11:55 JST
Hall C
  Building Reliable Agent Systems

11:30 JST

MCP-Powered Crash Investigation: How 11 MCP Servers Help an AI Agent Debug Production Issues at Uber - Kriti Dangi, Uber
Friday September 11, 2026 11:30 - 11:55 JST
Debugging eats 42% of developer time — $300B lost globally every year. On an average, fixing an issue takes 15 days. Debug Assist does it in 30 minutes — issue alert to validated, reviewable PR.

Most AI debugging tools stop at root cause analysis. Debug Assist goes much further: it writes a fix, validates it in a loop till correct, and creates the PR. Example, It caught a crash at 5% rollout, landed the fix the same day — preventing it from reaching thousands of users. Built on LangGraph with 11 MCP servers, 5 plugins, and parallel subagents: Sourcegraph for code search, crash analytics, Jira, feature flags, Jaeger, and logging — all one protocol.

Debug Assist even works on user-reported bugs which have minimal information attached. A user complained of battery drain, and Debug Assist traced it to a hot-looping code path, producing an RCA from behavioral evidence alone.
Domain knowledge lives in markdown skill files in a plugin marketplace — any developer can contribute fix patterns with no code, no redeployment.

We'll share how we built this from ground up, scaled to 5,000 RCAs/month across 6 languages, the challenges we hit, and how we improved the acceptance rate from 5% to 30%.

___________________________
Presentation Language: English
Captioning will be available for attendees in 50+ languages through Wordly. See instructions in each room to utilize captioning.
Speakers
avatar for Kriti Dangi

Kriti Dangi

Senior Software Engineer, Uber, Uber
Senior software engineer on the App Quality and Production Observability at Uber. Spent 3 years working on crash analytics platform, before designing and deploying Debug Assist. I love to dance, swim and travel in my free time. You can often find me chatting away with friends!

Friday September 11, 2026 11:30 - 11:55 JST
Hall 1F
  MCPCon
  • Audience Level Any
  • Presentation Language English
  • Presentation Slides Attached Yes

12:05 JST

Your Agent Starts the Checkout. Then What? - Muskan Jain, Independent
Friday September 11, 2026 12:05 - 12:30 JST
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.

___________________________
Presentation Language: English

Captioning will be available for attendees in 50+ languages through Wordly. See instructions in each room to utilize captioning.
Speakers
avatar for Muskan Jain

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 12:05 - 12:30 JST
Hall C
  Agentic Commerce
  • Audience Level Any
  • Presentation Language English

12:05 JST

The Model and the Mask: An Actor's Method for Engineering Agent Character - Nick Howden-Steenstra, Independent
Friday September 11, 2026 12:05 - 12:30 JST
Every agent system is two things: the model, which you rent, and the mask - the character - which is yours. The industry keeps upgrading the model and expecting the mask to improve. It doesn't work that way.

I'm a LAMDA-trained actor turned agent engineer. This talk is the actor's toolkit applied to shipped systems. Case one: a comms pipeline in production at a major crypto protocol - the generating model does Stanislavski table-work (super-objective, through-action, lining) before writing a word; a separate director model audits it blind; and voice is scored by a Laban Movement Analysis classifier that grades the human-written corpus and the machine's output on the same instrument. Brand voice becomes a falsifiable measurement. Case two: the home lab - eleven agents built with a Stanislavski character method, orchestrated over MCP, running my actual work.

You'll leave with the model/mask distinction, a character pipeline you can copy, and the failure modes: drift, voice collapse, paint-by-numbers slop.

___________________________
Presentation Language: English

Captioning will be available for attendees in 50+ languages through Wordly. See instructions in each room to utilize captioning.
Speakers
avatar for Nick Howden-Steenstra

Nick Howden-Steenstra

Agent-Systems Engineer, Independent
Nick Howden-Steenstra trained at LAMDA and spent years building characters on stage; now he builds them as infrastructure. At a major crypto protocol he made brand voice falsifiable - generation gated by Stanislavski table-work, output graded by a Laban Movement Analysis classifier... Read More →
Friday September 11, 2026 12:05 - 12:30 JST
Hall 1F
  Human-Agent Collaboration

13:40 JST

Stateful Sandboxes for Stateless Agents: Designing Durable Volumes for MCP Tool Workspaces - Rui Su, Juicedata
Friday September 11, 2026 13:40 - 14:05 JST
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.

___________________________
Presentation Language: English

Captioning will be available for attendees in 50+ languages through Wordly. See instructions in each room to utilize captioning.
Speakers
avatar for Rui Su

Rui Su

Co-founder, Juicedata, Inc.
Rui Su is the co-founder of JuiceFS, an open-source distributed file system built on object storage.
Friday September 11, 2026 13:40 - 14:05 JST
Hall C
  Building Reliable Agent Systems
  • Audience Level Any
  • Presentation Language English
  • Presentation Slides Attached Yes

13:40 JST

Workshop: Delegated Authorization for AI Agents: Build an Agent with Fine-Grained Permissions - Sohan Maheshwar, AuthZed
Friday September 11, 2026 13:40 - 15:15 JST
DevOps and Platform teams now work with hundreds of AI Agents in their internal systems. These Agents usually run with credentials that can touch everything, including your production servers. This could lead to problems.

This workshop will teach you how to add delegated authorization to your AI Agents, at scale.

We'll build a DevOps deploy agent on goose - the open-source agent from the Agentic AI Foundation and then give it fine-grained permissions using Relationship-Based Access Control (ReBAC). Along the way you'll get hands-on with the Google Zanzibar model of fine-grained authorization (ReBAC) and why it fits AI agents: scoped delegation, expiring grants, instant revocation, and hierarchical permissions where revoking staging access automatically suspends production too, something role-based systems can't express cleanly.

This is a self-guided, hands-on workshop, and everything runs locally with open-source tooling.

Prerequisites:
  • Docker (can build a GitHub devcontainer as well)
  • Python 3.10+
  • goose installed, plus an API key for any LLM goose supports

___________________________
Presentation Language: English

Captioning will be available for attendees in 50+ languages through Wordly. See instructions in each room to utilize captioning.
Speakers
avatar for Sohan Maheshwar

Sohan Maheshwar

Lead Developer Advocate, AuthZed
Friday September 11, 2026 13:40 - 15:15 JST
Hall B
  Workshop

14:15 JST

What's Actually Running in Your Coding Agent: The Shadow AI Stack - Alexander Frazer, Runlayer
Friday September 11, 2026 14:15 - 14:40 JST
"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.

___________________________
Presentation Language: English

Captioning will be available for attendees in 50+ languages through Wordly. See instructions in each room to utilize captioning.
Speakers
avatar for Alexander Frazer

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 14:15 - 14:40 JST
Hall C
  Building Reliable Agent Systems

14:15 JST

What's Missing in the Open Agentic Stack: Lessons From OSS Integration - Tatsuya Sato & Satoshi Ito, Hitachi, Ltd.
Friday September 11, 2026 14:15 - 14:40 JST
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.

___________________________
Presentation Language: English

Captioning will be available for attendees in 50+ languages through Wordly. See instructions in each room to utilize captioning.
Speakers
avatar for Tatsuya Sato

Tatsuya Sato

Chief Researcher, Hitachi, Ltd.
Tatsuya Sato is a Chief Researcher at Hitachi, Ltd. His research focuses on agentic AI platforms, blockchain platforms, system operations, and OSS. He has been an active OSS contributor for many years. He has contributed extensively to the LFDT and Hyperledger communities and continues... Read More →
avatar for Satoshi Ito

Satoshi Ito

Researcher, Hitachi, Ltd.
The speaker is a researcher and engineer at Hitachi, engaged in open-source software development. Initially focused on blockchain technologies, they have worked on Self-Sovereign Identity (SSI), Decentralized Identifiers (DID), and NFTs. In recent years, their research has shifted... Read More →
Friday September 11, 2026 14:15 - 14:40 JST
Hall 1F
  Open Source Tools

14:50 JST

Building an Agentic Software Factory - Valentin De Matos, Delphi
Friday September 11, 2026 14:50 - 15:15 JST
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.

___________________________
Presentation Language: English

Captioning will be available for attendees in 50+ languages through Wordly. See instructions in each room to utilize captioning.
Speakers
avatar for Valentin De Matos

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 14:50 - 15:15 JST
Hall C
  Agentic Engineering

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
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.

___________________________
Presentation Language: English

Captioning will be available for attendees in 50+ languages through Wordly. See instructions in each room to utilize captioning.
Speakers
avatar for Nnenna Ndukwe

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

15:35 JST

Trace-Based Evaluation of Open-Weight Coding Agents: Measuring Real Agent Behavior - Kota Tsuyuzaki, NTT DOCOMO BUSINESS, Inc.
Friday September 11, 2026 15:35 - 16:00 JST
Teams are moving coding agents onto self-hosted open-weight models to control inference cost, and real sessions routinely span tens of turns and hundreds of thousands of tokens. But the only common signal for judging those models is the static accuracy benchmark, which says little about how a model behaves across a real, multi-turn session.

This session closes that gap with a trace-based evaluation method built on open technology: OpenTelemetry for capture and MLflow for analysis. Through a case study tracing real Claude Code sessions on a 120B-class open-weight model and a frontier model, it surfaces behaviors no leaderboard reports. For example, in the sessions we traced, the model's logged reasoning recorded a user's constraint, and the same turn violated it. An accuracy score sees only the wrong action; the trace shows the model had the rule in hand and did not follow it.

Attendees leave with a reusable observability architecture for their own agents, metrics that go beyond accuracy, and a clear view of what running a coding agent on open weights actually costs, in reliability and not only in dollars.

___________________________
Presentation Language: English

Captioning will be available for attendees in 50+ languages through Wordly. See instructions in each room to utilize captioning.
Speakers
avatar for Kota Tsuyuzaki

Kota Tsuyuzaki

Engineering Manager, NTT DOCOMO BUSINESS, Inc.
Kota joined Nippon Telegraph and Telephone Corporation in 2010 and has been a core developer of OpenStack Swift, the open-source on-premise cloud storage. He later moved into the AI/HPC area, working with the Lustre file system and Slurm Workload Manager. In 2023 he joined NTT DOCOMO... Read More →
Friday September 11, 2026 15:35 - 16:00 JST
Hall B
  Evals & Testing

15:35 JST

Built for Two: What Design Systems Are Missing When AI Agents Become the Third User - Karen Ng, Endor Labs
Friday September 11, 2026 15:35 - 16:00 JST
AI coding agents now generate UI from component libraries. Most teams write component markdown files and expect agents to take it from there. The docs were complete. Agents still got it wrong.

Sitting with engineers in code review, the same things kept surfacing: the agent picked a visually similar but wrong component; it invented props; it read "Tag" as a UI primitive when the codebase meant a security concept. One author. No review process. A library too large for any agent to navigate without a map.

Not a component library talk. A talk about what the workflow was missing when the docs were already done.

I'll walk through the workflow that came out of those sessions: why a component file needs more than one author before agents can trust it; how an index changes what agents can find; and the naming decision that was invisible to humans and catastrophic for agents. Including the moment the team realized the problem wasn't the docs.

You'll leave with one reframe: a component library has always had two users. It now has a third. Here is what the workflow looks like when you build for all three.

___________________________
Presentation Language: English

Captioning will be available for attendees in 50+ languages through Wordly. See instructions in each room to utilize captioning.
Speakers
avatar for Karen Ng

Karen Ng

Principal Product Designer, Endor Labs
Karen Ng designs AI-driven products for security engineers and oncologists. She leads UX at Endor Labs, where she has built AI agent governance, code scanning, and security workflow products from scratch. A three-time internal hackathon winner, she prototypes in code as readily as... Read More →
Friday September 11, 2026 15:35 - 16:00 JST
Hall 1F
  Human-Agent Collaboration

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
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.

___________________________
Presentation Language: English

Captioning will be available for attendees in 50+ languages through Wordly. See instructions in each room to utilize captioning.
Speakers
avatar for Mauricio Salatino

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 →
avatar for Kevin Dubois

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

16:10 JST

Build Your Own Open-Source Claude Code With Local LLMs - Daniel Oh, Red Hat
Friday September 11, 2026 16:10 - 16:35 JST
AI coding assistants are becoming part of everyday development, but many enterprises cannot send source code, internal APIs, or project context to external services. They need the productivity of coding agents while keeping models, repositories, prompts, and actions under their control.

In this session, we’ll show how to build an open-source, Claude Code-like assistant using local or privately hosted LLMs, Models as a Service, OpenCode, and AI guardrails. Developers will be able to explore a codebase, generate changes, review explanations, and trigger controlled actions without exposing sensitive data.

We’ll also cover the guardrails needed for real use: secrets protection, data leakage checks, unsafe command blocking, insecure code detection, and policy-based action control.

You’ll leave with a practical blueprint for building a private, secure coding assistant that improves developer productivity without compromising trust, privacy, or compliance.

___________________________
Presentation Language: English

Captioning will be available for attendees in 50+ languages through Wordly. See instructions in each room to utilize captioning.
Speakers
avatar for Daniel Oh

Daniel Oh

Senior Principal Developer Advocate, Red Hat
Java Champion, CNCF Ambassador & TAG DevEX Co-Chair, AAIF Ambassador, Microsoft MVP, Developer Advocate, Technical Marketing, Keynote Speaker, Published Author
Friday September 11, 2026 16:10 - 16:35 JST
Hall 1F
  Open Source Tools

16:10 JST

Workshop: Building Secure & Discoverable Agent Infrastructure with agentgateway & agentregistry - Mehmet Hilmi Emel, ACEDEMAND IT Consulting Services
Friday September 11, 2026 16:10 - 17:45 JST
As AI agents move from local tests to real-world use, developers face a big problem: How do we easily find, direct, secure, and track AI traffic going to MCP servers? Standard API gateways do not understand LLM tool calls, and writing static lists of agents is too hard to manage.

In this hands-on workshop, we will connect AI agents and external tools easily using the standalone versions of Solo.io’s agentgateway and AgentRegistry. We will show you how to build a strong control layer for the Model Context Protocol (MCP) using simple local tools like Docker.

Participants will learn how to:

  • Discover: Run AgentRegistry locally to list, version, and find MCP servers dynamically.
  • Control: Set up agentgateway as a smart proxy to catch and manage agent requests.
  • Secure: Add AI-specific rules, like rate limits and basic access control, to agent tool calls.
  • Observe: See exactly which tools the agents are using and how fast they respond.

Join us to learn how to build a safe, easy-to-run foundation for your multi-agent systems right on your laptop!

___________________________
Presentation Language: English

Captioning will be available for attendees in 50+ languages through Wordly. See instructions in each room to utilize captioning.
Speakers
avatar for Mehmet Hilmi Emel

Mehmet Hilmi Emel

AI Engineer, Acedemand IT Consulting
As a AI System Engineer, I specialize in securing AI agent interactions at the infrastructure level. I have extensive experience designing AI-driven MCP architectures and tackling the complex security challenges of GenAI on Kubernetes. I build open-source blueprints for zero-trust... Read More →
Friday September 11, 2026 16:10 - 17:45 JST
Hall B
  Workshop

17:20 JST

From Logs to Proofs: Cryptographic Compliance for Agentic Payments - Aggre Hiroyuki, Lemma Oracle
Friday September 11, 2026 17:20 - 17:45 JST
Most agentic payment systems enforce compliance through post-hoc log monitoring: detection after the fact, not prevention. This talk argues that cryptographic proof can replace compliance theater: an agent generates a zero-knowledge attestation that its intended payment satisfies policy constraints before execution.

We present Trust402, an open-source protocol demonstrating this model in production. Agents produce zero-knowledge proofs that verify spend limits, role permissions, and regulatory constraints. Circuits are proof-system-agnostic, enabling post-quantum upgrades without policy-layer changes.

Concrete takeaways:
  • The wrapFetchWithProof pipeline: ZK proof generation composes into x402. No valid proof, no payment
  • The role-spend-limit circuit: LessEqThan constraints mapping role membership and spend limits to provable gates
  • Verification: ephemeral proofs, on-chain attestation per transaction
  • Trade-offs: proving time vs. trust model, circuit expressiveness vs. policy complexity

Attendees leave understanding where ZK proofs fit in agentic payments, what's production-ready, and where the hard problems remain.

___________________________
Presentation Language: English

Captioning will be available for attendees in 50+ languages through Wordly. See instructions in each room to utilize captioning.
Speakers
avatar for Aggre Hiroyuki

Aggre Hiroyuki

CTO, FRAME00, Inc.
CTO at FRAME00, Inc., building "Lemma", a verifiable trust infrastructure for AI agents and payments. Works at the intersection of zero-knowledge proofs (Groth16, Circom), blockchain protocols, and autonomous agent systems. Creator of Trust402, an open-source ZK payment attestation... Read More →
Friday September 11, 2026 17:20 - 17:45 JST
Hall 1F
  Agentic Commerce

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
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.

___________________________
Presentation Language: English

Captioning will be available for attendees in 50+ languages through Wordly. See instructions in each room to utilize captioning.
Speakers
avatar for Nyah Macklin

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
 
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