We are proud to be the

### Gold sponsor

of

# Hack-of-Tomorrow-Hackathon

Explore real use cases of AI, Blockchain and IoT

March 22, 2025

Franklin Templeton Investments, Nowy Rynek, Ul. Przemysłowa 3, 61-579, Poznan, Poland

View Details

## Schedule

### Monday, March 10

| Time      | Topic                            | Location |  
|-----------|----------------------------------|----------|  
| 17:00 CET | Introduction to AI Agents \| Fetch.ai | [Join](https://youtu.be/53Q0IcQqREQ) |

### Tuesday, March 11

| Time      | Topic                            | Location |  
|-----------|----------------------------------|----------|  
| 17:00 CET | Powered Energy Communities \| C4E  | [Join](https://www.youtube.com/watch?v=XAbj9-Qc7UU) |

### Thursday, March 13

| Time      | Topic                            | Location |  
|-----------|----------------------------------|----------|  
| 17:00 CET | Gameswift workshop               | [Join](https://www.youtube.com/watch?v=z-tMZft_ia4) |

### Saturday, March 22

| Time      | Topic                              | Location |  
|-----------|----------------------------------|----------|  
| 09:00 CET | Registration and Matchmaking     |          |
| 10:00 CET | Welcome & Official Opening       |          |
| 10:15 CET | Challenges & Mentors Presentation|          |
| 10:45 CET | Start of Hacking Session         |          |
| 12:00 CET | Keynote Presentations            |          |
| 15:30 CET | Lunch Break                      |          |
| 16:30 CET | Keynote Presentations            |          |
| 23:00 CET | Closing the building             |          |

### Sunday, March 23

| Time      | Topic                              | Location |  
|-----------|----------------------------------|----------|  
| 06:00 CET | Opening of the building          |          |
| 10:00 CET | Breakfast                         |          |
| 10:45 CET | Completion of Project Work\*      |          |
| 11:00 CET | Project Presentations             |          |
| 14:00 CET | Announcement of Winners          |          |

## 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

Unleash your creativity by designing specialised AI Agents in any domain—whether it's **Mobility**, **Smart city**, **Energy**, or **Gaming**, using any **Agentic framework** of your choice. Register your agents on **Agentverse**, a dynamic open agent marketplace, where agents seamlessly interact and collaborate to deliver powerful solutions.

Take it a step further by building a personalized assistant that leverages the Search and Discovery feature on [Agentverse.ai](https://agentverse.ai/). Your assistant will intelligently connect with other agents to fulfil user needs, orchestrating tasks with precision and efficiency.

Are you ready to innovate, collaborate, and automate the future of intelligent systems? The challenge awaits!

## What to Build

In this hackathon, participants are encouraged to showcase their skills by building innovative solutions centered around AI Agents. Here's what you'll create:

### Specialized AI Agents

Use your creativity to design AI Agents tailored for specific domains or tasks, such as customer support, data analysis, content creation, research assistance, or more. Leverage agentic frameworks like uAgents, LangChain, CrewAI, Autogen, or others to build these agents.
Once your agents are ready, register them on Agentverse using the Fetch.ai SDK enabling them to interact with other agents in the ecosystem. Your goal is to contribute to a diverse and robust agent directory.

### Personalized Assistant Agent

Build a Personalised Assistant Agent that uses the Search and Discovery feature on Agentverse. This assistant will dynamically connect with the most relevant agents—whether created by you or other participants—to fulfil user queries and coordinate tasks efficiently. The assistant should intelligently manage interactions to deliver seamless, user-centric experiences.

## 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.

```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)
- [How to create an Agent with Fetch.ai SDK](https://innovationlab.fetch.ai/resources/docs/agent-creation/sdk-creation)
- [How to use ASI1 LLM API references](https://innovationlab.fetch.ai/resources/docs/asi1-mini/asi1-mini-api-reference)
- [Communication between two uAgents](https://innovationlab.fetch.ai/resources/docs/agent-communication/uagent-uagent-communication)
- [Communication between two Fetch.ai SDK Agents](https://innovationlab.fetch.ai/resources/docs/agent-communication/sdk-sdk-communication)
- [How to write a good Readme for your Agents](https://innovationlab.fetch.ai/resources/docs/agentverse/searching)
- [Read our Medium Articles](https://medium.com/fetch-ai/latest)

## Judging Criteria

### Prizes

- **Winner**: $1000
- **Second Place**: $600
- **Third Place**: $400

### Collaborators

### Judges

**Grzegorz Sikora**  
CIO and co-founder C4E

**Maria Minaricova**  
Director of Business Development at Fetch.ai

**Marcin Cichocki**  
Tech architect at Gameswift

### Mentors

**Grzegorz Sikora**  
CIO and co-founder C4E

**Maria Minaricova**  
Director of Business Development at Fetch.ai

**Marcin Cichocki**  
Tech architect at Gameswift