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

| Time     | Topic                                     | Location                |
|----------|-------------------------------------------|-------------------------|
| 10:00 GMT| Opening Remarks                           | Imperial College London  |
| 10:00 GMT| Hacking Begins                            | Imperial College London  |
| 10:40 GMT| Keynote by Sana Wajid - Chief Development Officer Fetch.ai| Imperial College London  |
| 11:40 GMT| Coffee Break                              | Imperial College London  |
| 13:00 GMT| Lunch & Networking Break                  | Imperial College London  |
| 15:30 GMT| Afternoon Coffee Break                    | Imperial College London  |
| 16:50 GMT| Closing Remarks                           | Imperial College London  |

### Saturday, March 22

| Time     | Topic                                     | Location                |
|----------|-------------------------------------------|-------------------------|
| 12:00 GMT| Hands-On Workshop on ASI1 Mini and AI Agents| Imperial College London  |

### Thursday, April 10

| Time     | Topic                                     | Location                |
|----------|-------------------------------------------|-------------------------|
| 12:00 GMT| Hacking Ends                              | Imperial College London  |

### Sunday, April 13

| Time     | Topic                                     | Location                |
|----------|-------------------------------------------|-------------------------|
| 10:00 GMT| Demo Day                                  | Imperial College London  |

## 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](https://discord.gg/cntQGHQS) 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 ↗](https://innovationlab.fetch.ai/resources/docs/agent-communication/uagent-uagent-communication)

```python
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 ↗](https://innovationlab.fetch.ai/resources/docs/agent-creation/uagent-creation)  
[Communication between two uAgents ↗](https://innovationlab.fetch.ai/resources/docs/agent-communication/uagent-uagent-communication)  
[Communication between two uAgents using Chat Protocol ↗](https://innovationlab.fetch.ai/resources/docs/agent-communication/agent-chat-protocol)  
[ASI:One API ↗](https://innovationlab.fetch.ai/resources/docs/asione/asi1-mini-api-reference)  
[How to create ASI:One compatible uAgents ↗](https://innovationlab.fetch.ai/resources/docs/examples/chat-protocol/asi-compatible-uagents)  
[How to write a good Readme for your Agents ↗](https://innovationlab.fetch.ai/resources/docs/agentverse/searching#importance-of-good-readme)

## Video Introduction

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

[Watch on YouTube](https://www.youtube.com/watch?v=P69TLQ-K3mk)

### Examples to Get You Started:

- [Guide: How to Connect a Local Agent to Agentverse ↗](https://innovationlab.fetch.ai/resources/docs/agent-creation/uagent-creation#mailbox-agents)
- [Guide: How to Use the Agentverse Search API ↗](https://innovationlab.fetch.ai/resources/docs/agentverse/searching)
- [Guide: Build your Application using Fetch.ai SDK ↗](https://github.com/rajashekarcs2023/weather-marketplace)
- [Guide: Integrating an Agent with Langchain ↗](https://innovationlab.fetch.ai/resources/docs/examples/other-frameworks/langchain)
- [Guide: Integrating an Agent with Autogen ↗](https://innovationlab.fetch.ai/resources/docs/examples/other-frameworks/autogen)

## Judging Criteria

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

| Parameters                          | Definition                                          |
|-------------------------------------|-----------------------------------------------------|
| Functionality                       | How well do your AI Agents perform their intended tasks? How effectively are APIs and frameworks integrated into your solution?|
| Agentverse Integration               | Have you registered all your AI Agents on Agentverse?|
| Quantity of Agents Created           | How many AI Agents have you created for this project? Does your submission demonstrate creativity and diversity in your AI Agents?|
| Personal Assistant Development       | Does your assistant utilize the Search and Discover feature on Agentverse to dynamically connect with and coordinate tasks between multiple agents?|
| Innovation and Impact               | Does your project address a real-world problem or introduce novel ideas?|

## 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