About this event
LangChain Interrupt is a two-day AI agent conference in San Francisco, May 13–14, featuring keynotes, production case studies, and hands-on workshops led by LangChain experts. This is your chance to learn what's next for AI agents, hear from teams deploying agents in production, and connect with fellow builders shaping the future of no-code/low-code AI tooling.
What to expect:
- Two action-packed days with high-caliber talks and real-world lessons from teams at Clay, Rippling, Workday, and more about what actually works in production.
- Hands-on workshops where attendees will learn best practices for building, debugging, and shipping reliable agents, guided by LangChain product experts.
- Networking opportunities at a social hour and afterparty to connect with fellow practitioners, engineers, product managers, and founders in the AI agent space.
- A lineup of speakers already announced, including Harrison Chase (Co-Founder & CEO), Shreya Shankar (AI Researcher), Erich Wellinger (Principal ML Engineer), Evan Kormos (Engineering Manager), Ravi Ummadisetti (Head of Product Research), and more as agenda details emerge.
Event details:
- When: May 13–14, 2026
- Where: The Midway, 900 Marin St, San Francisco, CA (Dogpatch)
- Format: Conference with keynotes, production talks, hands-on workshops, and networking
- Virtual/onsite: Onsite in San Francisco (in-person)
- Registration: Day 1 starts at 8:30 AM with a LangChain keynote at 9:30 AM; Day 1 ends with an opening reception at 5:00 PM. Day 2 starts at 9:00 AM with sessions at 9:30 AM and concludes with an afterparty at 4:00 PM
Travel and logistics:
- Getting there: Fly into SFO or OAK; rideshares (Uber/Lyft) widely available; parking near the venue is limited; public transit options are convenient via nearby bus/light rail connections (3rd St & Marin St stop)
- What to bring: your laptop for workshops, a willingness to experiment with AI agents, and plenty of curiosity about production-ready agent systems
Who should attend:
- AI engineers, product developers, NoCode/low-code builders, and startup teams interested in building and deploying AI agents at scale
- Builders exploring how to trace, debug, and ship reliable agents in production environments
- Anyone curious about LangChain’s approach to agent-centric AI tooling and the latest implementation lessons from leading teams
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