AGNTCon + MCPCon Europe 2026: Full Schedule

17-18 September | Amsterdam, Netherlands
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IMPORTANT NOTE: Timing of sessions and room locations are subject to change.

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09:00 CEST

Keynote: Welcome - Angie Jones, Vice President of Developer Experience, The Agentic AI Foundation

Thursday September 17, 2026 09:00 - 09:05 CEST

Auditorium (Ground Level)

Speakers

Angie Jones

VP, DX, Agentic AI Foundation

Angie Jones is the VP of Developer Experience at the Agentic AI Foundation where she guides how agentic systems are designed, implemented, and adopted across the global developer ecosystem.

Angie is an international keynote speaker who shares her wealth of knowledge at software... Read More →

Thursday September 17, 2026 09:00 - 09:05 CEST
Auditorium (Ground Level)

Keynote Sessions

09:05 CEST

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

Thursday September 17, 2026 09:05 - 09:15 CEST

Auditorium (Ground Level)

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 →

Thursday September 17, 2026 09:05 - 09:15 CEST
Auditorium (Ground Level)

Keynote Sessions

09:20 CEST

Keynote: Clare Liguori, Senior Principal Engineer, AWS Agentic AI

Thursday September 17, 2026 09:20 - 09:30 CEST

Auditorium (Ground Level)

Speakers

Clare Liguori

Senior Principal Engineer, AWS Agentic AI

Clare Liguori is a Senior Principal Software Engineer at AWS, focusing on developer tooling and agentic AI. She primarily works on Kiro and Strands Agents SDK. She is also a core maintainer of the Model Context Protocol (MCP) specification. Over 12+ years at Amazon, she has worked... Read More →

Thursday September 17, 2026 09:20 - 09:30 CEST
Auditorium (Ground Level)

Keynote Sessions

09:30 CEST

Keynote: Getting to Stateless MCP: In Production - Shaun Smith, Open Source Agents / MCP, Hugging Face

Thursday September 17, 2026 09:30 - 09:40 CEST

Auditorium (Ground Level)

The latest MCP Specification introduces one of the largest changes to the protocol since launch: a stateless transport.

At Hugging Face we use MCP as infrastructure for Agents, Interactive and Inference workloads.

In this session we will:
- Summarize the MCP Transport story to date
- Use production analytics from Hugging Face's MCP infrastructure to track migration metrics and success
- Explore new opportunities for Client, Server and Gateway implementations offered by the new transport features.
- Share lessons learned from implementing the stateless transport for Clients and Servers

Speakers

Shaun Smith

Open Source Agents / MCP, Hugging Face

Shaun leads Open Source/MCP at Hugging Face, and is an MCP Steering Committee member serving as a Community Moderator and Transports Working Group. He is also the author of `fast-agent` - one of the few clients with comprehensive protocol support and diagnostic capabilities.

Thursday September 17, 2026 09:30 - 09:40 CEST
Auditorium (Ground Level)

Keynote Sessions

10:10 CEST

From Personal Agent To Org Catalog: 13 Specialists, One Orchestrator - Nick Veenhof, GitLab

Thursday September 17, 2026 10:10 - 10:35 CEST

Auditorium (Ground Level)

Every team at our company was building agents from scratch. Duplicated prompts. Duplicated tool configs. No shared memory. I watched five teams present their setups at a meetup in Ghent. Same patterns, reinvented five times.

So I built Paul, an AI chief of staff with 13 specialist agents: analyst, writer, broadcaster, operator, architect, reviewer, and more. Each agent has a defined job family, a cultural perspective, and a skill library. One orchestrator delegates. A reviewer gates quality. The whole system runs on open source tooling with MCP servers for memory, calendar, email, GitLab, and smart home.

The sharing layer is a platform AI catalog. Agent definitions, flows, and MCP server configs become organizational assets. A team publishes an agent. Another team reuses it. Skills are composable. Memory is scoped: user, project, or org.

This talk covers the architecture, the real failures, and the pattern for moving from a personal experiment to an organizational capability. You leave with concrete agent definitions, delegation patterns, and a mental model for building a catalog your whole organization can use.

Speakers

Nick Veenhof

Director, DevRel Engineering, GitLab

Nick Veenhof is Director of Contributor Success at GitLab, where he leads initiatives to enhance open source participation. With 15+ years in open source ecosystems, Nick brings expertise in building contribution frameworks that deliver business value in regulated environments.

... Read More →

Thursday September 17, 2026 10:10 - 10:35 CEST
Auditorium (Ground Level)

Enterprise Adoption in Practice

10:45 CEST

An Orchestra of Agents: What I Learned Running a Multi-Agent System for 5,000+ Developers - Muhammad Ahsan Ayaz, Scania

Thursday September 17, 2026 10:45 - 11:10 CEST

Auditorium (Ground Level)

Most "AI agents" are a single LLM wrapped in a system prompt. They look great in demos and collapse the moment real users show up. I know because I built one for my 5,000+ member developer community, and the first version broke in ways I didn't see coming.
In this talk, I'll walk through the multi-agent system I run in production: a tree of 12 specialist agents built on Google's ADK, coordinating through sequential pipelines, parallel fan-out, and LLM-driven dynamic routing, each armed with MCP tools to act on the real world. We'll cover the orchestration primitives, then climb into the real architecture: how onboarding chains three agents in sequence, how external knowledge fans out across GitHub, Dev.to, and StackOverflow in parallel, and how the root agent delegates per message.
Then the fun part: the bugs. The drain-loop that cancelled a ParallelAgent mid-flight. The recency drift that surfaced 2020 articles in 2026. The callback layer I had to build for PII sanitization, caching, and observability ; none of which made it into the tutorial.
You'll leave with a mental model for each pattern, production patterns that kept it running, and war stories that'll save you a week.

Speakers

Muhammad Ahsan Ayaz

Software Architect, Scania

Muhammad Ahsan is a Google Developers Expert (GDE) in AI & Angular, an author of 4 world-wide published books, an Educator, and a Software Architect.
https://bio.link/codewithahsan

Thursday September 17, 2026 10:45 - 11:10 CEST
Auditorium (Ground Level)

Multi-Agent & Distributed Systems

11:20 CEST

When NOT To Use an Agent: Choosing Between Workflows, Services, and Agent Systems - Jigyasa Grover, Uber & Rishabh Misra, Atlassian

Thursday September 17, 2026 11:20 - 11:45 CEST

Auditorium (Ground Level)

LLM-powered “agents” are quickly becoming the default architectural pattern for AI-enabled systems.

Need automation? Agent.
Need integration? Agent.
Need reasoning? Agent.

But agents are not an upgrade; they are a trade-off. They introduce non-determinism, larger attack surfaces, evaluation complexity, and operational unpredictability.

In this session, we’ll examine three common architectural patterns for LLM-enabled systems:
- Deterministic workflows (state machines, orchestrated pipelines)
- Service-oriented architectures with LLM augmentation
- Fully agentic orchestration with dynamic tool use

Rather than comparing features, we’ll analyze these patterns across real engineering constraints:
- Failure isolation and blast radius
- Latency and cost predictability
- Observability and debugging complexity
- Security boundaries and permission scoping
- Evaluation and regression testing strategy
- Operational burden over time

This talk offers a practical decision framework grounded in system design principles. You’ll leave with a mental model and checklist to evaluate whether an agent is justified, or whether a simpler architecture will deliver more predictable, resilient outcomes.

Speakers

Jigyasa Grover

ML Tech Lead @ Uber • Google Developer Advisory Board Member • LinkedIn [in]structor • Book Author • Startup Advisor • 12 time AI + Open Source Award Winner • Featured @ Forbes, UN, Google I/O, and more!, Uber

Jigyasa Grover is a 12-time award-winning AI leader and author of Sculpting Data for ML. She drives personalization at Uber, with prior ML leadership at Twitter/X and Meta. A Google I/O speaker and Google Developer Advisory Board member, she works at the intersection of large-scale... Read More →

Rishabh Misra

Principal ML Engineer, Atlassian

I am a Principal ML Engineer & Researcher with over 10 years of experience in the AI and ML space. I am currently driving LLM pretraining, postraining, and personalization efforts at Atlassian, and have previously led Deep Learning & GenAI-powered user personalization at late-stage... Read More →

Thursday September 17, 2026 11:20 - 11:45 CEST
Auditorium (Ground Level)

Agentic Engineering

11:55 CEST

The Other 90%: Agentic AI for the Legacy Codebases Nobody Wants To Touch - Ayush Bhardwaj, Siemens

Thursday September 17, 2026 11:55 - 12:20 CEST

Auditorium (Ground Level)

The AI coding conversation has been almost entirely about greenfield: new features, fresh repos, throwaway scripts. Meanwhile the codebases that quietly run hospitals, factories, and banks are maintained by skeleton crews drowning in tribal knowledge, dead build systems, and 20-year-old decisions. Single-LLM code assistants do not survive contact with them.
Agentic systems can, but only with very different workflow patterns than the ones usually demoed. This session is a field report from modernizing a long-lived industrial codebase: what worked, what catastrophically did not, and the patterns that emerged.
We cover the shift from "LLM completes my code" to "agents reason about my codebase": the two-loop research and execute split, vertical slicing, measurement-first execution, structured unknowns, and rollback discipline. We name the failure modes that wreck naive setups on legacy code, including context overflow, hallucinated APIs, false-positive fixes, and agentic drift, and the practices that prevent them.
It closes with where agents still lose, what OSS tooling is missing, and how the community can treat legacy maintenance as a first-class agentic AI problem.

Speakers

Ayush Bhardwaj

Senior Software Engineer - Agentic AI, Siemens

Senior Software Engineer specializing in Agentic AI, leading development of enterprise-grade multi-agent systems at Siemens. Holds 3 AI patents, published NLP research, and collaborated with Meta's research team on AudioSeal. Pursuing research around information-theoretic frameworks... Read More →

Thursday September 17, 2026 11:55 - 12:20 CEST
Auditorium (Ground Level)

Agentic Engineering

12:30 CEST

We Built AI Agents To Fix Security Findings in Production — Here's What Developers Actually Merged - Amine Boudraa, Ruchita Kshirsagar, Nihit Gupta & Gianfranco Romani, Thomson Reuters

Thursday September 17, 2026 12:30 - 12:55 CEST

Auditorium (Ground Level)

AI is accelerating vulnerability discovery, finding more security issues than any team can fix by hand. The obvious next step is letting AI fix them too, but pushing automated changes into production is difficult, and the trust bar is super high.

Over the past year, we built and shipped two autonomous remediation agents raising PRs against hundreds of production repositories: one for SAST findings in first-party code, and one for SCA findings in third-party libraries. While developers can already fix vulnerabilities by going back and forth with a general-purpose AI assistant, our goal is to make that loop faster and more trustworthy.

That trust came from unglamorous engineering: teaching our agents how to build and test an application, trace data flows to reject risky fixes, and resolve breaking changes when modernizing legacy code. Along the way, we’ll share common patterns we’ve seen across rejected PRs, and what we had to iterate on to get hundreds of them merged.

We are open sourcing both agents for the community. The volume of CVEs keeps growing, automated remediation will become a must, and existing solutions don't yet solve this problem at the level we need.

Speakers

Amine Boudraa

Senior Product Security Engineer, Thomson Reuters

Amine Boudraa is a Senior Product Security Engineer at Thomson Reuters specializing in application security. He builds AI agents, MCP servers, and automation that help engineering teams stay fast while ensuring the time they spend addressing security issues is meaningful and impa... Read More →

Ruchita Kshirsagar

Senior Product Security Engineer, Thomson Reuters

Ruchita Kshirsagar is a cybersecurity professional with 9+ years of experience in application security and software development. A Senior Product Security Engineer at Thomson Reuters, she specializes in SAST/DAST/SCA, DevSecOps, threat modeling, container security, vulnerability management... Read More →

Nihit Gupta

Senior Product Security Engineer, Thomson Reuters

Nihit is a passionate and enthusiastic Product Security Engineer with over 4 years of experience in software development and security. Skilled in SAST and SCA remediation, architecting Secure-SDLC environments, and cloud security. He enjoys working on projects that can enhance software... Read More →

Gianfranco Romani

Senior ML Engineer, Thomson Reuters

Gianfranco Romani is an Senior ML Engineer on Thomson Reuters' Cybersecurity team, leading strategy and delivery of AI security tools. He focuses on automated vulnerabilities discovery/remediation and securing enterprise LLM apps. Previously at Thomson Reuters Labs, he built AI products... Read More →

Thursday September 17, 2026 12:30 - 12:55 CEST
Auditorium (Ground Level)

Enterprise Adoption in Practice

13:05 CEST

What *IS* an Agent's Identity? - Christian Posta, Solo.io

Thursday September 17, 2026 13:05 - 13:30 CEST

Auditorium (Ground Level)

Enterprises understand human identity fairly well. You could argue they are decent at service accounts. But what about an AI agent? Is it either of these?

Agents are driven by intent, discover/invoke tools, make decisions, and interact with other resources (APIs, databases, other agents, etc). Enterprises will care about "Who is this agent?", "What is it allowed to do?", "What has it done?" and of course "Can we revoke its authority?"

In this talk we'll break down what actually makes up an agent's identity. We'll look at authentication, delegated authority, provenance, trust establishment, and accountability. We'll also examine where technologies like OAuth, OpenID Connect, SPIFFE, and emerging efforts such as AAuth fit into the picture.

You'll leave with a practical framework for thinking about agent identity, which problems have already been solved, and which ones we're still figuring out.

Speakers

Christian Posta

Global Field CTO, Solo.io

Christian Posta (@christianposta) is VP, Global Field CTO at Solo.io. He is the author of "Istio in Action", "AI Gateways in the Enterprise" and many other books on cloud-native architecture. He is well known in the cloud-native community for being an architect, speaker, blogger (https://blog.christianposta.com... Read More →

Thursday September 17, 2026 13:05 - 13:30 CEST
Auditorium (Ground Level)

Enterprise Adoption in Practice

14:45 CEST

Welcome Back - Angie Jones, Vice President of Developer Experience, The Agentic AI Foundation

Thursday September 17, 2026 14:45 - 14:50 CEST

Auditorium (Ground Level)

Speakers

Angie Jones

VP, DX, Agentic AI Foundation

Thursday September 17, 2026 14:45 - 14:50 CEST
Auditorium (Ground Level)

Keynote Sessions

14:52 CEST

Keynote: David Soria Parra, Member of Technical Staff, Anthropic

Thursday September 17, 2026 14:52 - 15:02 CEST

Auditorium (Ground Level)

Speakers

David Soria Parra

Member of Technical Staff, Anthropic

I am the co-creator of the Model Context Protocol (Modelcontextprotocol.io) and a Member of Technical Staff at Anthropic working on a wide variety of things. Formerly a senior manager at Facebook working on static analysis and simulation based testing. I was responsible of integrating... Read More →

Thursday September 17, 2026 14:52 - 15:02 CEST
Auditorium (Ground Level)

Keynote Sessions

15:25 CEST

Keynote: Arun Gupta, Director, Open Source Ecosystem & Developer Platform, NVIDIA

Thursday September 17, 2026 15:25 - 15:35 CEST

Auditorium (Ground Level)

Speakers

Arun Gupta

Director, Open Source Ecosystem & Developer Platform, NVIDIA

Thursday September 17, 2026 15:25 - 15:35 CEST
Auditorium (Ground Level)

Keynote Sessions

15:45 CEST

Six Months of Proof: Independently-Verifiable Records for Agent Actions Under the EU AI Act - Steven Mih, Action State Group, Inc.

Thursday September 17, 2026 15:45 - 16:10 CEST

Auditorium (Ground Level)

The EU AI Act makes "what did the agent actually do?" a legal obligation: high-risk AI must support automatic record-keeping over its lifetime (Article 12) — for traceability, human oversight, and post-market monitoring — with logs retained at least six months (Article 19). But the Act can only require the logs to exist, not to be trustworthy: a log is only as good as the party that keeps it, and the operator who ran the action is not a disinterested witness — even an immutable one can be incomplete, cherry-picked, or built after the fact. The fix is simple and old: anchoring. Commit each record to a hash, write that hash to an independent, append-only transparency log, and any party can verify what the agent did — without trusting the operator. This session shows how the Agent Action Capsule project uses open transparency-log standards (SCITT/COSE) to produce anchored, independently-verifiable records of agent actions to the letter of the Act, plus the trust it can't legislate.

Live demo of the Agent Action Capsule project: emit a record at an action boundary, anchor it, verify it with an open verifier, then tamper and watch verification fail. You'll leave with an open, framework-agnostic pattern mapped to Article 12/19 — and a running verifier to try.

Speakers

Steven Mih

Founder/CEO ·, Action State Group, Inc.

Steven Mih is Founder/CEO of Action State Group, building the verifiable-record layer for AI agent actions, filed as an IETF Internet-Draft, with an open verifier. Previously he co-founded and led Ahana (acquired by IBM, 2023) and served on Presto Foundation (Linux Foundation) board... Read More →

Thursday September 17, 2026 15:45 - 16:10 CEST
Auditorium (Ground Level)

Interoperability & Standards

16:20 CEST

90 Days To Agentic Engineering - Thomas Schöne, Project Lions Development GmbH

Thursday September 17, 2026 16:20 - 16:45 CEST

Auditorium (Ground Level)

Most software companies are experimenting with AI, yet many struggle to move beyond isolated chat interactions and proof-of-concepts.

This session presents a practical case study of how a traditional software development organization with little prior AI experience adopted agentic engineering practices within 90 days. Guided by an engineer with hands-on experience in AI agents, MCP, RAG systems, and AI-native development workflows, the organization moved from sporadic experimentation to productive use of agentic systems in everyday engineering work.

Attendees will learn how high-value use cases were identified, how MCP-based tools, agent skills, and RAG-powered knowledge systems were introduced, and how trust in agent-driven workflows was established across development teams.

Not every experiment succeeded. Some assumptions proved wrong, some tools disappointed, and several approaches had to be reworked. This session shares the lessons learned, the mistakes made, and the strategies that ultimately accelerated adoption.

The result was a measurable shift from AI curiosity to AI-enabled engineering, establishing the foundations for long-term AI-native development.

Speakers

Thomas Schöne

Lead AI Architect, Project Lions Development GmbH

Thomas Schöne is a software engineer with more than 15 years of experience in web development, software architecture, and digital transformation. He specializes in AI agents, MCP, RAG systems, and AI-native engineering workflows. Thomas regularly speaks at developer conferences and... Read More →

Thursday September 17, 2026 16:20 - 16:45 CEST
Auditorium (Ground Level)

Agentic Engineering

16:55 CEST

Distributed Mess: A Production Guide To Multi-Agent Failures - Oleksandra Bovkun, Databricks

Thursday September 17, 2026 16:55 - 17:20 CEST

Auditorium (Ground Level)

Most agent failures don't happen in a model. They happen in the handoff. When a supervisor agent passes a flawed context downstream (wrong tool output, misrouted state, a hallucination that looked plausible), the receiving agent has no way to know. It continues confidently on a corrupted foundation. In MCP-based systems, this is structural: tool call responses become shared context across agents that never directly communicate. A bad result upstream poisons every agent that touches it downstream. Traditional end-to-end testing misses this because the final output can still look reasonable.

This session is a technical walkthrough of what that failure mode looks like in production and what you need to catch it: tracing context across agent boundaries (not just individual inference calls), distinguishing model errors from routing errors from context corruption, and evaluating the coordination layer — not just outputs.

This session is not about the future of AI, but about the unglamorous work of building agentic systems you can actually trust.

Speakers

Oleksandra Bovkun

Sr. Developer Advocate, Databricks

Oleksandra is a Developer Advocate at Databricks with a background as a Data Engineer, AI Engineer, and Solutions Architect. She's spent her career building real-world AI solutions and architecting data platforms — which means she's made most of the mistakes so you don't have to... Read More →

Thursday September 17, 2026 16:55 - 17:20 CEST
Auditorium (Ground Level)

Multi-Agent & Distributed Systems

17:30 CEST

Verify, Abstain, or Amplify: A Field Guide To Confidently-Wrong Agents - Michal Orzechowski, Sano – Centre for Computational Personalised Medicine

Thursday September 17, 2026 17:30 - 17:55 CEST

Auditorium (Ground Level)

Your coding agent earns trust because it has an oracle: a compiler and tests catch its mistakes. Most agents don't. They pass their evals and still ship confident, wrong answers, because for many tasks, there's nothing to check against.

Two failures hide under "confidently wrong": the model doesn't know (retrieve it), or it knows wrong, a priori it reasserts even against a correct context, which RAG won't fix.

A field guide, three honest moves. Verify, when you can check: deterministic checks on the answer, not the tool calls, run in the harness. Abstain, when you can't: make the agent say "I can't verify this," gated on an external check, not its own confidence. Amplify, when there's no right answer, only judgment: the model collapses toward the average exactly when you want the opposite, so you push it off and amplify the novelty you put in, judged by a human.

We ground all three in our own builds where the model is reliably wrong: a finance agent, a genomics agent that invents false-but-plausible mechanisms, and a microtonal-music agent that keeps dragging toward Western tonality. The move comes down to two questions: can you check the answer, and is there a right one?

Speakers

Michal Orzechowski

Agentic AI & Cloud Architect, Sano – Centre for Computational Personalised Medicine

Agentic AI & Cloud Architect at Sano, affiliated with AGH University of Krakow and ACK Cyfronet. After a decade in Kubernetes and cloud-native distributed systems, and a PhD in the field, he now builds multi-agent pipelines across genomics, healthcare, and microtonal music. He maintains... Read More →

Thursday September 17, 2026 17:30 - 17:55 CEST
Auditorium (Ground Level)

Building Reliable Agent Systems

09:00 CEST

09:05 CEST

09:20 CEST

09:30 CEST

10:10 CEST

10:45 CEST

11:20 CEST

11:55 CEST

12:30 CEST

13:05 CEST

14:45 CEST

14:52 CEST

15:25 CEST

15:45 CEST

16:20 CEST

16:55 CEST

17:30 CEST

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