Solana Breakout Hackathon - The Fetch.ai Agent Track
April 14, 2025 to May 16, 2025
Online
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 future of AI isn’t centralized—it’s agentic, decentralized, and Web3-native. Join Fetch.ai at the forefront of this new frontier by building on Agentverse—an open marketplace of autonomous AI agents, powered by** ASI1-mini**, the first-ever Web3-native LLM. Access everything through the ASI:One web app.
🚀 Your Mission
Design intelligent, autonomous agents that live on Agentverse and solve real-world problems using ASI1-mini LLM.
🛠️ Your solution should be
Agent-first: Built using one or more uAgents that communicate and collaborate via the chat protocol. LLM-native: Seamlessly powered by ASI1-mini LLM and integrated into the ASI:One web app to respond to natural language queries. User-focused: Thoughtfully designed to be intuitive, useful, and accessible to real users.
🌍 Your Impact
Whether you're innovating in DeFi, health, education, creator tools, identity, or sustainability, this challenge is your chance to shape the future with autonomous agents that matter.
Check out the resources to learn how to build and launch your own AI agents.
To inspire your build, here are some agent ideas in the Web3 and DeFi space.
Tool Stack
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 ↗
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()




Examples to get you started:
Judging Criteria
Impact - How well does the AI agent address a specific, well-defined industry or domain challenge?
ASI1:Mini Integration: Is your AI Agent compatible with ASI1:Mini LLM?
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
ASI1 Trailblazer
$2500 USD Cash Prize
Cash Prize
FetchFusion Award
$2500 USD Cash Prize
Cash Prize
Judges

Sana Wajid
Chief Development Officer
Edward FitzGerald
Chief Technology Officer

Attila Bagoly
Head of AI

Chirag Maliwal
Technical Lead
Mentors

Kshipra Dhame
Developer Advocate

Abhimanyu Gangani
Developer Advocate