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We are proud to be the

Gold sponsor

of

Cluj Hackathon 2025

Exciting News: ClujHackathon 2025 is Here!

May 24, 2025

Bosch Engineering Center, Strada Constanța 30-34, Cluj-Napoca 400158, Romania

Schedule

Thursday, March 13

06:00 CET

Pre-hackathon workshop: AI Agents with Fetch.ai

Amfiteatrul A2, FSEGA, Cluj-Napoca, Romania

Monday, March 24

Invalid Date CET

Cluj Hackathon

Bosch Engineering Center, Strada Constanța 30-34, Cluj-Napoca 400158, Romania

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

Will be announced on 23 May 2025

What to Build

Fetch.ai tech stack

architecture

Product Overview

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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code-icon
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

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

$1000

Second Prize

$600

Third Prize

$400

Collaborators

partner-image
partner-image

Sounds exciting, right?

Ready to get started with Fetch.ai Platform?

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