Welcome to the epicenter of innovation in LLM Agents—where builders, developers, researchers, entrepreneurs, and AI enthusiasts meet to redefine the future of LLM Agents. The AgentX – LLM Agents MOOC Competition, hosted by Berkeley RDI in conjunction with the Advanced LLM Agents MOOC, is calling for trailblazers ready to push the boundaries of AI and Agents. Whether you’re exploring uncharted research frontiers or building the next big AI/Agents startup, AgentX is your launchpad to make a lasting impact. Join us to build breakthrough LLM Agents, forge collaborative partnerships, and be part of a vibrant community shaping the future of AI.

The AgentX Competition is open to the public and will be held primarily virtually, culminating in an in-person Demo Day at the Agents Summit this August at UC Berkeley. Finalists will showcase their prototypes to an audience of top AI companies, leading VCs and tech industry leaders—offering unprecedented opportunities to forge strategic partnerships, connect with investors, and engage with potential customers. Whether you're seeking funding or corporate partnerships, or expanding your market, Demo Day is your platform to shine.

The AgentX Competition is designed to have two tracks:

Entrepreneurship Track:

  • Focus: Develop startup ideas (including MVP) leveraging LLM Agents, such as developer tools, enterprise software solutions, and consumer applications.
  • Perfect For: Builders, entrepreneurs, startup teams, etc.
  • Submission Requirement: Working prototypes (e.g. product demos) and a pitch deck (incl. detailed product development and business plan)
    • View detailed submission requirements here

Research Track:

  • Focus: Explore the frontiers of LLM Agents technology. Potential research topics include but are not limited to Agent Architecture, AI Safety & Alignment, Reasoning & Planning, Benchmarks & Evaluation, Fundamental Capabilities, and Multi-agent & Decentralization.
  • Perfect For: Students, developers, academics, and research teams
  • Submission Requirement: Research papers, prototypes or proof-of-concept demos
    • View detailed submission requirements here

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


PARTNERS & SPONSORS

More to be announced soon


PRIZES & RESOURCES

Resources
Prizes
Careers
Access the Gemini 2.0 Flash API and credits for your team
    Everyone can use the Gemini API and Google AI Studio — Gemini 2.0 Flash, free of charge & no credit card needed, and rate limits are high
    • The pricing / rate limits page (with the free tier info) can be found here.
    Instructions to start developing with the Gemini API, with no credit card required
    Key info:
    • 15 RPM (requests per minute)
    • 1 million TPM (tokens per minute)
    • 1,500 RPD (requests per day)
Docs
  • Gemini API Docs
  • Participants can also get started with the Gemini API Cookbook, if teams would like to dive right into code. There you will find many notebooks with complete code demonstrating how to use the Gemini API.
  • $100 serverless API credits for Inference to every individual participant
  • $400 GPU credits per team to the select 50 teams
  • $100 HF credits per team to the select 100 teams. HF credit can be used towards Hugging Face's paid services, e.g. Inference Endpoints and building Spaces (ML Apps) with GPUs. Credits can also be used for subscriptions to PRO and Enterprise
  • $100 Groq API token credits per team to the select 100 teams
  • $25 coupons (e.g. API credits) per team to the select 50 teams

More to be announced!

  • Up to $40,000 in cash awards for winners of the Entrepreneurship Track
  • Up to $30k in credits to be awarded to winning teams from both tracks
  • All members of winning teams from each track (Entrepreneurship and Research) will receive a 6-month HF PRO subscription
  • Up to $5,000/$3,000/$2,000 in HF credits will be awarded to the top 3 teams in the Entrepreneurship Track
  • Up to $1,000/$500/$300 in credits will be awarded to the top 3 teams in each track (Entrepreneurship and Research)
  • Up to $5,000/$3,000/$2,000 in cash awards will be awarded to the top 3 teams in the Entrepreneurship Track that have used Auth0.ai in their product/project building
  • Up to $10k in credits to be awarded to winning teams from both tracks
  • Up to $10k in gift cards to be awarded to winning teams with AI Safety focus from both tracks

More prizes to be announced very soon!

More to be announced!

TIMELINE

Date Event
3/13 - 3/30 AgentX: Registration and Team Formation
3/31 - 5/31 Build
Office hours w. Partners & Sponsors
Midpoint check-in for feedback
End of May Submission Deadline for AgentX
June Judging
Early August Agents Summit
Demo Day & Awards at Agents Summit

SUBMISSION GUIDELINES

🚀 Entrepreneurship Track

Develop startup ideas (including MVP) leveraging LLM Agents, such as developer tools, enterprise software solutions, and consumer applications.


Requirements
Click on each deliverable to expand details
    Pitch Deck (≤20 slides, excluding appendix)
    • Problem / Pain Point
      • Clear, specific description
      • Who currently suffers and why existing solutions fail
    • Target Audience & Market Size
      • TAM / SAM / SOM estimates
      • Personas or customer segments
    • Evidence of Demand
      • Survey results, wait-list numbers, pilot data, market reports (cite sources)
    • Solution Overview
      • How the LLM agent solves the pain point
    • Live Demo Screenshot (hyperlink to full video)
    • Technical Architecture (high-level)
      • Model usage, agent loop, data flow, infra, etc.
    • Competitive Landscape & Differentiation
    • Go-to-Market & Growth Strategy
    • Revenue Model & Unit Economics
    • Roadmap
      • Major milestones: alpha, beta, v1.0, scaling
    • Team
      • Names, roles, 1-sentence bio, LinkedIn/GitHub
    • Asks (e.g. Funding, partnerships, hiring, advisors, etc.)
    • Appendix slides may include detailed architecture diagrams, or additional metrics, etc.
    Product-Demo Video (max 3 min)
    • Put the video on youtube. Make sure it is unlisted/public so that it is accessible to the judges
    • Screen-capture or live camera acceptable
    • Show real workflow end-to-end; avoid PowerPoint narrations
    • Voice-over or captions required for accessibility
    • No heavy post-production—judges want authenticity
    Live Product Link
    • Provide a URL that any judge can access
    • Accepted options:
      • Web app / mobile TestFlight, etc.
      • Hugging Face Space, Inference Endpoint, or similar
      • GitHub repo with 1-click deploy (e.g., Codespaces)
    Technical Appendix (optional)
    • If your system involves novel algorithms, evaluations, or complex infra, bundle a short PDF (~5 pages) covering:
      • Model/agent architecture diagram
      • Proprietary vs. open-source components
      • Dataset sources & licenses
      • Safety / alignment measures
      • Benchmark results (if any) with methodology
Judging Criteria
  • Market Need & User Impact
    • Clear definition of problem/pain-point and target audience
    • Evidence of demand (e.g., surveys, market analysis, wait-lists)
  • Technical Execution
    • Robustness of the working prototype
    • Quality of LLM-agent integration
    • Feasibility of scaling from MVP to full product
  • Scalability & Business Model
    • Strategic plan (timelines, milestones)
    • Path to monetization and a self-sustaining business
  • Pitch Quality
    • Clarity and persuasiveness of narrative
    • Cohesive story linking problem, solution, and market opportunity
    • Ability to inspire investor confidence
Deadline: May 31, 2025 at 11:59 PM PST

🔬 Research Track

Explore the frontiers of LLM Agents technology. Potential research topics include but are not limited to Agent Architecture, AI Safety & Alignment, Reasoning & Planning, Benchmarks & Evaluation, Fundamental Capabilities, and Multi-agent & Decentralization.


Requirements
Click on each deliverable to expand details
    Scientific Paper (7-8 pages, excluding appendix)
    • Upload a scientific manuscript (PDF) with an abstract, introduction, methods, results, and discussion (or equivalents) that describes what you’ve done, how you’ve done it, and why it matters.
    • Maximum 7-8 pages
      • INCLUDING tables and figures
      • NOT INCLUDING references or appendices
    • Examples of papers are here: https://llmagents.github.io/#accepted-papers (can be found on Google scholar)
    • Additional guidelines:
      • If you are making an application, include a brief document explaining how users can interact with your application.
      • If you are making a benchmark, include clear guidelines on using the benchmark, adding new agents, and interpreting results, along with any baseline results for reference.
      • If you are making a research contribution, include your approach, validation methods, and performance improvements over baselines
    Video Presentation (max 3 min)
    • Briefly outline the problem, your solution, technical implementation, and potential impact. You can also include a research demo (optional).
    • Put the video on youtube. Make sure it is unlisted/public so that it is accessible to the judges
    Github Repository
    • Share a GitHub link containing your project code, data, or resources, along with a README explaining how to run or use your project.
    • Set the repository public so that it is accessible to any judges
Judging Criteria
  • Technical Innovation
    • Novelty of architectural designs, algorithms, or frameworks
    • Improvements in reasoning, safety, fundamental capabilities, etc.
  • Methodological Rigor
    • Soundness of experimental design and reproducibility
    • Clarity in benchmarking against existing approaches
  • Impact Potential
    • Long-term implications for LLM agent research or applications
    • Scalability of the solution
  • Clarity & Presentation
    • Coherence of the research paper and demo
    • Cohesive story linking problem, solution, and market opportunity
    • Ability to convey complex ideas in an accessible manner
Deadline: May 31, 2025 at 11:59 PM PST

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