We are proud to be the

Silver sponsor

of

UK AI Agent Hackathon

The largest Web3 x AI Hackathon in Europe

March 15, 2025

Imperial College London

Schedule

Saturday, March 15

Saturday, March 22

Thursday, April 10

Sunday, April 13

Introduction

Fetch.ai’s vision is to create a marketplace of dynamic applications. 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.

• Fetchai SDK – seamlessly integrates your AI Agent into Agentverse and empowers dynamic connectivity with the Fetch.ai SDK.

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

• ASI-1 Mini - A Web3-native large language model (LLM) optimized for agent-based workflows.

Challenge Statement

AI is evolving beyond static models and passive automation—it's time to build AI Agents that can reason, adapt, and interact in real time. This hackathon invites you to harness the power of Fetch.ai’s LLM ASI1-Mini, alongside the uAgents framework or Fetch.ai SDK, to create truly autonomous, intelligent, and goal-driven AI Agents.

The challenge is to build AI-powered multi-agent systems that create useful, innovative, or even amusing solutions for everyday life. Your creation could help streamline tasks, deliver personalized recommendations, or even bring a bit of fun into people’s lives. But this isn’t just about individual convenience—this is about building AI Agents that benefit both individuals and society. Whether you’re tackling education, healthcare, sustainability, finance, Web3 or any other impactful domain, the goal is to demonstrate real-world use cases where AI Agents drive meaningful change.

This is your moment to code, collaborate, and create AI Agents that don’t just run—they reason, adapt, and transform lives. So rally your team, sharpen your skills, and let’s build the future of AI together!

Got Questions?
Join the Fetch.ai Mentorship Channel on the UK AI Agent Hackathon Discord to get expert guidance, resolve queries, and connect with mentors!

Fetch.ai Tech Stack

Product Overview

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()

Important Links

How to create an Agent with uAgents Framework ↗
Communication between two uAgents ↗
Communication between two uAgents using Chat Protocol ↗
ASI:One API ↗
How to create ASI:One compatible uAgents ↗
How to write a good Readme for your Agents ↗

Video Introduction

Tutorial 01: An Introduction to Agents | Blockchain AI | Fetch.ai

Watch on YouTube

Examples to Get You Started:

• Guide: How to Connect a Local Agent to Agentverse ↗
• Guide: How to Use the Agentverse Search API ↗
• Guide: Build your Application using Fetch.ai SDK ↗
• Guide: Integrating an Agent with Langchain ↗
• Guide: Integrating an Agent with Autogen ↗

Judging Criteria

Each row is scored 1 to 5, with a total score being your final score.

Prizes

• Winner - Best Use of Fetch.ai Tech: £ 500 Cash Prize
• Runner up - Best Agentic Hack: £ 250 Cash Prize

Judges

Sana Wajid
Chief Development Officer

Edward FitzGerald
Chief Technology Officer

Attila Bagoly
Head of AI

Elliot Bertram
Business Development Director

Mentors

Abhi Gangani
Developer Advocate

Kshipra Dhame
Developer Advocate