This campaign is over.
Generalized Judging Criteria (Across all Themes)
1. Utility & Relevance (25)
Does your solution meaningfully support agent-based workflows?
Addresses real-world needs or enhances agent functionality
Applies to diverse scenarios such as formatting, tutoring, or language tasks
Adds value to the broader ecosystem of autonomous agents
2. Creativity & Originality (20)
Is your solution innovative and designed with agent interaction in mind?
Introduces novel ideas or reimagines existing solutions
Enhances agent autonomy, usability, or adaptability
Offers advanced capabilities beyond basic functionality
3. Security & Access Control (20)
Is your solution well-protected and clearly scoped for secure access?
Implements secure authentication and authorization practices
Properly restricts access using scoped permissions
Manages which agents or services can connect and use the tools, enforcing trust and security boundaries
4. Technical Execution (15)
Is your system technically sound and well-integrated?
Utilizes products required for specific hackathon challenges
Stable, complete, and reliably functional
Effectively uses external integrations such as APIs, services, or agent clients
Demonstrates a thoughtful architecture with clearly defined components
5. Connectivity & Compatibility (10)
Can your server reliably communicate with external agent clients?
Supports consistent and successful interactions with external agent environments
Handles requests with low latency and minimal errors
Responds correctly to common request types and protocols
6. Demonstration & Clarity (10)
Does your submission clearly showcase how the system works in practice?
Provides a clear, complete demonstration of the end-to-end workflow
Highlights security enforcement and system interaction
Easy to follow, visually and technically
Bonus
Submissions may receive additional recognition for:
Creating a custom agent client that connects to the server
Demonstrating smooth integration and secure interactions
Highlighting a unique or compelling use case