Date: May 13–14, 2026
Location: San Francisco, USA
Type: Conference
Website: interrupt.langchain.com
What Is Interrupt 2026?
Interrupt 2026, organized by LangChain, is a two-day conference dedicated entirely to the practical development and deployment of AI agents. Scheduled for May 13–14, 2026, in San Francisco, the event positions itself as a focused gathering for professionals who are building, debugging, and shipping agent-based systems in production environments. LangChain, the company behind the widely adopted open-source framework for building LLM-powered applications, brings its deep technical expertise to this conference, making it a natural home for the agent-focused conversation.
The conference arrives at a critical inflection point in the AI industry. As organizations move beyond simple chatbot interfaces and into autonomous, multi-step agent workflows, the need for reliable, observable, and scalable agent architectures has never been greater. Interrupt 2026 aims to bridge the gap between experimental agent prototypes and the hardened, production-grade systems that enterprises require. By featuring keynotes from LangChain co-founder Harrison Chase and AI pioneer Andrew Ng, the event signals a serious focus on both the foundational research and the engineering realities of agentic AI.
Why It Matters for AI Professionals
For AI engineers, technical leaders, and product managers, Interrupt 2026 offers a rare opportunity to learn directly from teams that have already navigated the challenges of deploying agents at scale. The conference’s emphasis on production case studies—rather than theoretical demos—means attendees will leave with actionable insights into failure modes, latency optimization, observability strategies, and cost management for agent systems. In a landscape where many agent projects still struggle with reliability and debugging, this event provides a grounded, practitioner-focused perspective.
Moreover, the involvement of LangChain as the organizer ensures that the technical content will be deeply aligned with the tools and frameworks that many teams already use. Whether you are evaluating agent architectures for the first time or looking to optimize an existing deployment, Interrupt 2026 offers a concentrated dose of peer learning and expert guidance that is difficult to find at broader AI conferences.
What to Expect
Interrupt 2026 is structured around three core pillars: visionary keynotes, real-world production case studies, and hands-on technical workshops. The confirmed speaker lineup includes Harrison Chase and Andrew Ng as keynote speakers, setting the stage for discussions on the future of agentic systems and the research frontiers that will shape them.
Production case studies will be presented by engineering teams from Apple, Lyft, LinkedIn, Toyota, and Coinbase. These sessions are expected to cover the full lifecycle of agent development—from initial design decisions and tool selection to debugging, monitoring, and scaling in production. Attendees will gain insight into how these organizations handle issues like error recovery, state management, and integration with existing infrastructure.
The conference also features hands-on workshops focused on building, debugging, and shipping reliable AI agents. These sessions are designed for practitioners who want to apply concepts in real time, using LangChain’s ecosystem and other industry-standard tools. Specific workshop topics and pricing details are to be announced on the official website.
Who Should Attend
Interrupt 2026 is tailored for AI engineers, machine learning engineers, software architects, and technical product managers who are actively building or planning to build agent-based systems. The content assumes a working knowledge of LLMs and agent frameworks, making it most valuable for intermediate to advanced practitioners. Engineering leaders evaluating agent infrastructure for their teams will also find the production case studies and networking opportunities highly relevant. Researchers interested in the applied side of agent reliability and debugging will benefit from the practitioner-focused sessions.
How to Register
Registration details, including pricing tiers and availability, are available on the official conference website. Interested attendees should visit interrupt.langchain.com for the most up-to-date information on tickets, workshop enrollment, and the full agenda. Given the focused nature of the event and the caliber of speakers and case studies, early registration is recommended.
