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Elasticsearch Agent Builder Hackathon

devpostHosted on Devpost

Fetched 7 days ago

Thursday, January 22, 2026

to Friday, February 27, 2026

•

1 month long

Machine LearningArtificial IntelligenceData ScienceCloudOpen Source

Event Type

online

2,140

Participants

$20,000

Prize Pool

192

Est. Projects

About the challenge Welcome to the Elasticsearch Agent Builder Hackathon, running from January 22 to February 27, 2026. Build context-driven, multi-step AI agents that combine search, workflows, tools, and reasoning to automate real-world tasks. This isn’t about single prompt answers, it’s about agents that retrieve the most relevant context, select the right tools, and execute tasks across multiple steps. Your mission is to design agents that actually get work done. Compete for a share of $20,000 in prizes, collaborate with Elastic engineers, and get featured on our blog and social channels. We can’t wait to see the agents you develop Why participate ? Build agents for real work: Design agents that reason, use tools, keep context, and actually finish tasks. Level up fast: Practice multi-step reasoning, tool orchestration, and stateful workflows under real constraints. Win and get seen There is $20,000 on the table, plus exposure on blogs and social channels.

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.

Quality Score

Quality Score

72/100
High confidence
Organiser16/20
Event Maturity14/20
Sponsors18/25
Participants12/20
Operations12/15

Why this score

Strong organiser track record
Returning event
Well-sponsored

Missing data

Prize details
Code of conduct