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LA Hacks 2025

Jump into a weekend of exploration, experimentation, and excitement as you bring your AI Agents to life with Fetch.ai.

April 25, 2025

Pauley Pavilion, Los Angeles, California

Introduction

Fetch.ai’s vision is to create a open AI Agent marketplace. We are empowering developers to build on our platform that can connect services and APIs without any domain knowledge.

Our infrastructure enables ‘search and discovery’ and ‘dynamic connectivity’. It offers an open, modular, UI agnostic, self-assembling of services.

Our technology is built on four key components:

uAgents - uAgents are autonomous AI agents built to connect seamlessly with networks and other agents. They can represent and interact with data, APIs, services, machine learning models, and individuals, enabling intelligent and dynamic decision-making in decentralized environments.

Agentverse - serves as a development and hosting platform for these agents.

Fetch Network - underpins the entire system, ensuring smooth operation and integration.

ASI:One - A Web3-native large language model (LLM) optimized for agent-based workflows.

Challenge statement

The AI agent landscape is evolving rapidly, yet many solutions remain either too generalized or overly technical for widespread adoption. Your mission is to build an innovative AI agent that leverages large language models, particularly the ASI:One LLM, to effortlessly perform complex tasks specified through natural language instructions.

Demonstrate the practical power of AI Agents by creating domain-specific solutions with Fetch.ai uAgents that address real-world challenges through intuitive user interactions and tangible utility.

Whether you're building a solution for Clean Code, Hack2School, Cold Hard Cache, or Heart of the Matter, you’re eligible for prizes from Fetch.ai when you create specialised agents using the Fetch.ai tech stack tailored to these themes.

Are you ready to shape the next era of AI-driven automation? The challenge awaits!

👉 Check out the resources to learn how to build and deploy your own AI agents.

architecture

Tool Stack

architecture

Quick start example

This file can be run on any platform supporting Python, with the necessary install permissions. This example shows two agents communicating with each other using the uAgent python library.
Read the guide for this code here ↗

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from uagents import Agent, Bureau, Context, Model
    class Message(Model):
        message: str
    
    sigmar = Agent(name="sigmar", seed="sigmar recovery phrase")
    slaanesh = Agent(name="slaanesh", seed="slaanesh recovery phrase")
        
    @sigmar.on_interval(period=3.0)
    async def send_message(ctx: Context):
       await ctx.send(slaanesh.address, Message(message="hello there slaanesh"))
        
    @sigmar.on_message(model=Message)
    async def sigmar_message_handler(ctx: Context, sender: str, msg: Message):
        ctx.logger.info(f"Received message from {sender}: {msg.message}")
    
    @slaanesh.on_message(model=Message)
    async def slaanesh_message_handler(ctx: Context, sender: str, msg: Message):
        ctx.logger.info(f"Received message from {sender}: {msg.message}")
        await ctx.send(sigmar.address, Message(message="hello there sigmar"))
        
    bureau = Bureau()
    bureau.add(sigmar)
    bureau.add(slaanesh)
    if __name__ == "__main__":
        bureau.run()
Video introduction
Video 1
Introduction to agents
Video 2
On Interval
Video 3
On Event
Video 4
Agent Messages

Judging Criteria

  • Impact: How well does the AI agent address a specific, well-defined industry or domain challenge?
  • Agentverse Integration: Have you registered all your AI Agents on Agentverse?
  • Technical Robustness: Is the AI agent well-built, reliable, and free of major flaws or vulnerabilities?
  • Demo Quality: Is the solution presented clearly with a well-structured demo? Does it effectively showcase the AI agent's capabilities?

Prizes

Most Impactful Vertical Solution

$2500

Cash Prize

Best ASI-1 Mini Implementation

$1500

Cash Prize

Best Multi-Agent System

$1000

Cash Prize

Judges

Profile picture of Sana Wajid

Sana Wajid

Chief Development Officer

Profile picture of Edward FitzGerald

Edward FitzGerald

Chief Technology Officer

Profile picture of Attila Bagoly

Attila Bagoly

Head of AI

Profile picture of Elliot Bertram

Elliot Bertram

Business Development Director

Mentors

Profile picture of Chinmay Mahagaonkar

Chinmay Mahagaonkar

Junior Software Engineer

Profile picture of Tanay Godse

Tanay Godse

AI Engineer

Profile picture of Aishwarya Dekhane

Aishwarya Dekhane

Junior Software Engineer

Profile picture of Sai Mounika Peteti

Sai Mounika Peteti

Ambassador

Profile picture of Royce Arockiasamy

Royce Arockiasamy

Ambassador

Schedule

Monday, April 21

12:00 PST

Pre-Hackathon Workshop: Introduction to Fetch.ai

Online

Friday, April 25

18:00 PST

Opening Ceremony

Pauley Pavilion

19:00 PST

Hacking Begins

Pauley Pavilion

22:00 PST

How to Build AI Agents with the Fetch.ai Tech Stack

Pauley Pavilion

Saturday, April 26

09:30 PST

Learn how to integrate ASI1 Mini LLM with your Agents

Pauley Pavilion

Sunday, April 27

08:00 PST

Project Submission

Pauley Pavilion

13:30 PST

Closing Ceremony

Pauley Pavilion

Ready to get started with Fetch.ai Platform?