AGNTCon + MCPCon Japan 2026

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.

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Presentation Language: English

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%.

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

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.

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Presentation Language: English

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

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.

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Presentation Language: English

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