We are proud to be the
March 22, 2025
Franklin Templeton Investments, Nowy Rynek, Ul. Przemysłowa 3, 61-579, Poznan, Poland
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
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
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.
Picture a world where users can effortlessly engage with a network of AI Agents tailored to their unique requirements—this is your opportunity to make it a reality.
Are you ready to innovate, collaborate, and automate the future of intelligent systems? The challenge awaits!
In this hackathon, participants are encouraged to showcase their skills by building innovative solutions centered around AI Agents. Here's what you'll create:
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.
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.
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()
Examples to get you started:
Judging Criteria
Winner
1000$
Second Place
600$
Third Place
400$
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