This hackathons is only open to students. Double check the event page for more information as this may mean only those from a particular university/country are eligible.
Event Type
in person
11
Participants
0
Est. Projects
For Serious Coders only
You will need a Govt ID that matches your LuMa registration
Please do not join if your registration is not approved
We’re hosting a hackathon for people who want to build the missing infrastructure layer for AI agents.
Agents are getting easier to spin up, but the hard parts are still unsolved: security, permissions, reliability, deployment, observability, safe tool use, and the apps/experiences that make agents actually useful. This hackathon is about shipping real building blocks—things other agents (and other builders) can plug into.
You can build for OpenClaw-style agents, or for any agent framework. The goal is interoperability: clean APIs, clear contracts, testable behavior, and sensible safety boundaries.
What you might build:
Agent infrastructure: deployment templates, agent hosting, state/memory patterns, job queues, scheduling, background tasks, cost controls
Security + trust: sandboxing, tool permissions, secret handling, policy enforcement, audit logs, prompt/tool injection defenses
Agent “app” primitives: games, marketplaces, social experiences, shared environments, agent-to-agent coordination, directories/registries
DevEx + reliability: debugging tools, eval harnesses, traces, replay, failure recovery, monitoring dashboards
This is for students who like systems, product, and applied security and who want to ship something that could become part of the agentic web stack.
Judge Accessibility
Organizer email available25/25
Student-run event15/15
Actively looking for judges25/25
Small event (120 participants)10/10
No corporate sponsors10/10
New or emerging organizer10/10
Public registration available5/5
Online format (judge from anywhere)10/10
Top signals
Organizer email available
Student-run event
Actively looking for judges
Organizers
Alex Johnson
alex@example.org
Jamie Rivera
jamie@example.org
Sam Chen
sam@example.org
Estimated Audience
Mostly Students
ExperienceStudent
OccupationStudents
Beginner Friendly
Women in Tech
Technical Focus
AI95%
Web80%
Mobile25%
Industries
Healthcare
Education
Climate
Technologies
Python
React
OpenAI
Why this estimate
• Hosted by a university
• Open to students
• MLH member event
Estimate inferred from event metadata, not actual attendee data.