About MongoDB:

MongoDB is the leading developer data platform, combining flexible document modeling with powerful operational, vector, and memory features. With MongoDB Atlas, you can build GenAI applications that require persistent memory, semantic search, and flexible data retrieval—all inside a scalable cloud platform.

For the Hackathon:

At the n8n AI Workflow Hackathon, MongoDB integrates seamlessly into agentic workflows and AI automation pipelines via new experimental nodes inside n8n. Whether you’re building an AI-powered content engine, health tracker, or HR assistant, MongoDB Atlas can power both the long-term memory and semantic context that make intelligent workflows possible.

Company representative(s)

• Mikiko Bazeley, Staff Developer Advocate
  • Saturday, May 31 - 9:30am - 1:00pm
  • Sunday, Jun 1, 3pm-6pm

🚀 Ways to use MongoDB

Challenge 1: Autonomous Content Creator

• Example: AI pipeline that ingests trending topics → generates articles → edits + publishes via CMS.
  • MongoDB powers persistent memory and vector search over research articles and prior posts.

Challenge 2: HR Onboarding Assistant

• Example: Agent that schedules interviews, sends offer letters, and tracks onboarding tasks.
  • Use MongoDB to persist onboarding state, collect feedback, and integrate with calendars and HR tools.

Challenge 3: Personal Health Coach

• Example: Connect wearables, nutrition trackers, and fitness data into MongoDB.
  • Use vector search to detect patterns and surface personalized health advice or alerts.

Open Innovation Challenge

• Build an internal knowledge bot with semantic search across your company wiki.
• Create a meeting scheduler agent that remembers preferences and uses vector queries.
• Design a multi-agent workflow for handling support tickets, with memory-backed escalation.

📚 Quickstarts & Resources