MongoDB's agentic AI stack is evolving fast. The next breakthroughs will come from agents that hold context across sessions, adapt their own guardrails, and operate reliably under real workloads.

Join the MongoDB team in Toronto for a one-day hackathon focused on building those systems. We're looking for impactful projects built with MongoDB Atlas, Vector Search, and Agentic Memory tooling that push past demos into something durable: the infrastructure the next generation of agents will run on.

🏆 Prizes:

1st Place: $7,000 USD + $3,000 LangSmith credits + 3 months of ElevenLabs Pro Tier
2nd Place: $5,000 USD + $2,000 LangSmith credits + 3 months of ElevenLabs Pro Tier
3rd Place: $3,000 USD + $1,000 LangSmith credits + 3 months of ElevenLabs Pro Tier
Best Project Built with ElevenLabs: 3 months of ElevenLabs Scale Tier

📋 Judges:

Robert Maissan, Senior Lead, Engineering @ MongoDB
Raschid Jimenez, Senior Product Manager @ MongoDB
Tapan Shah, Service Engineer @ MongoDB
Leo Gomes, Full Stack Software Developer @ Pelmorex
Aasawari Sahasrabuddhe, Senior Builder Advocate @ Okta
Sergey Strelnikov, VP of Engineering @ Acerta
Anamika Ahmed, Senior Software Engineer @ Microsoft
Pablo Vallejo, Engineering Manager @ Wealthsimple
Amrit Krishnan, Technical Lead @ Vector Institute
Vatsal Shah, Co-Founder & CTO @ Speak AI
Parth Patel, Forward Deployed Engineer @ Cohere
Ahmed Radwan, Applied ML @ Vector Institute
Pahul Hallan, Senior Machine Learning Engineer @ Zafin
Noel Kirthiraj, Founder & Principal @ Omni
Rudraksh Monga, Senior Software Engineer @ Stan
Aasheesh Singh, Senior Research Engineer @ Quantiphi

With more to be announced!

Note: This event is fully in-person in Toronto. Capacity is limited. Teams may have up to four members. All attendees must apply and be approved. Submitting an application does not guarantee a seat.

Agents in Context Toronto: a MongoDB Hackathon