This LLM Agents Hackathon, hosted by Berkeley RDI and in conjunction with the LLM Agents MOOC, aims to bring together students, researchers, and practitioners to build and showcase innovative work in LLM agents, grow the AI agent community, and advance LLM agent technology. It is open to the public and will be held both virtually and in-person at UC Berkeley.

The hackathon is designed to have 5 tracks:

• Applications Track: Building innovative LLM agent applications across diverse domains, from coding assistants to personal AI companions.
• Benchmarks Track: Creating and improving benchmarks for AI agents, enabling standardized evaluation and comparison of different agent architectures and capabilities.
• Fundamentals Track: Enhancing core agent capabilities such as memory, planning, reasoning, and tool use through novel frameworks and techniques.
• Safety Track: Addressing critical safety concerns in AI agent deployment, including misuse prevention, privacy, interpretability, and broader societal impacts.
• Decentralized and Multi-Agents Track: Advancing tools, frameworks, and applications for decentralized multi-agent systems, focusing on enhanced capabilities, interactions, and deployment.

We hope this hackathon with these specially-designed tracks can help demonstrate that we are entering a new phase of maturity and practicality of LLM agent technology where:

• Every developer can learn to use LLM agent technology for building innovative applications (Applications Track)
• Decentralized community collaboration can effectively bring the community together to build key technologies and infrastructure for LLM agents, serving as important foundations and public good for the community in AI (Benchmarks, Fundamentals, Safety, and Multi-Agent Tracks)

For Hackathon discussion, please join the Hackathon channel at LLM Agents Discord. For more information and to answer frequently asked questions, please refer to our ongoing Hackathon FAQ.

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PRIZES & RESOURCES

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TIMELINE (SUBJECT TO CHANGE)

It's not too late to join! Sign up today!

Date	Event
October 21	Begin Hackathon Participant Sign Up Open (required)
October 28	Team Sign Up Open (required)
November 20	Mid-hackathon Progress Check-in DUE (optional)
November 25	Credits & API Access Sign Up DUE (optional) Compute Resources Sign Up DUE (optional)
December 19 11:59pm PST	Fill Out Project Submission Form DUE (required)
December 20	Judging (12/20 9am - 1/7 11:59pm PST)
January 9	Winners Announced at 9am PST

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HACKATHON PROGRAM SCHEDULE

Date	Program Session
November 12	Your Compute to Win the LLM Agents MOOC Hackathon - 'Get Started' Demos with Lambda Event Recording
November 21	Building with Intel: Tiber AI Cloud and Intel Liftoff Event Recording
November 26	Workshop with Google AI: Building with Gemini for the LLM Agents MOOC Hackathon Event Recording
December 3	Info Session with Sierra Event Recording

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JUDGING CRITERIA

Applications Track

Strong submissions will demonstrate novel use cases addressing real-world problems, with seamless integration of the LLM agent into the target domain and intuitive UI/UX. Projects should display strong potential for impact and widespread adoption.

Benchmarks Track

Strong submissions will provide comprehensive, standardized benchmarks with clear evaluation criteria for agent capabilities. Another option is to expand and improve existing benchmarks by generating more high-quality data or curating more accurate examples. Project should enable meaningful cross-agent comparisons and offer insights into efficiency, accuracy, and generalization.

Fundamentals Track

Strong submissions will aim to enhance current LLM agent capabilities (e.g., long-term memory, planning, function calling, tool use, or multi-step reasoning). Projects should contain innovative approaches to solving complex problems autonomously.

Safety Track

Strong submissions will thoroughly define and address high-impact safety risks, proposing effective solutions, frameworks, or protocols. Projects should showcase effectiveness through comprehensive testing, validation, and evaluation.

Decentralized and Multi-Agents Track

Strong submissions will expand on limitations of existing frameworks, offering solutions for improved communication, multi-agent collaboration, and scalability. Projects should address practical challenges of real-world deployment.

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SUBMISSION

Project submission will happen through our Google Form. For more information, see the submission requirements. Here are the following items to ensure that your project is accepted:

• Video Presentation - Include a link to your video presentation. It should be no more than 3 minutes. Your video should contain a presentation walking through your project and a recorded demo of how your project works.
• Presentation Slides - Include a link to your presentation slides in PDF format.
• Project Code - Include a Github with an informative README with steps on how to run your project. Externally link any large datasets.
• Documentation - Include project information that describes the findings of your project or how it works.

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JUDGES

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