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)
    • Detailed submission requirement to be announced soon.

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
    • Detailed submission requirement to be announced soon.

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 $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 $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

JUDGING CRITERIA

Entrepreneurship Track:

  • Market Need & User Impact
    • Clear definition of problem/pain-point and target audience
    • Evidence of demand (e.g. surveys, market analysis, etc.)
  • Technical Execution
    • Review the robustness of the working prototype and the technical implementation of the LLM Agent integration
    • Consider the feasibility of scaling the technology from an MVP to a full-fledged product
  • Scalability & Business Model
    • Review the strategic plan provided for product development, including timelines and milestones
    • Evaluate the potential to scale the technology and business model in the long term (e.g. a realistic path to monetization and self-sustained business model)
  • Pitch Quality
    • Assess the clarity and persuasiveness of the pitch
    • Look for a coherent narrative that communicates the problem, solution, and market opportunity while inspiring investor confidence

Research Track:

  • 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
    • Ability to convey complex ideas in an accessible manner


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