September 27, 2024
Virtual
10:00 BRT (UTC-3:00)
Discord Channel for Copa America Hackathon opens
Virtual
11:00 BRT (UTC-3:00)
Prizes announcement
Virtual
10:00 BRT (UTC-3:00)
Opening remarks with Sana Wajid and Alex Blagirev
Virtual
23:59 BRT (UTC-3:00)
Project Submission deadline
Devpost
23:59 BRT (UTC-3:00)
Round of 16
Virtual
23:59 BRT (UTC-3:00)
Round of 16
Virtual
23:59 BRT (UTC-3:00)
Quarter Final
Virtual
23:59 BRT (UTC-3:00)
Live Final
Virtual
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:
Agents - AI Agents are independent decision-makers that connect to the network and other agents. These agents can represent data, APIs, services, ML models and people.
Agentverse - serves as a development and hosting platform for these agents.
AI Engine – enables humans to interact with the dynamic agent marketplace using natural language to execute the objective.
Fetch Network - underpins the entire system, ensuring smooth operation and integration.
Challenge statement
This hackathon aims to challenge participants to leverage Fetch.ai agent tech and Solana’s blockchain to build applications that automate complex workflows and interactions in decentralized systems. We have outlined three levels of problem complexity—easy, medium, and complex—each presenting its own challenge.
Problem Statements
For more detailed problem statements, please read here.
You can post all your queries in the #innovation-labs channel on Discord.
Fetch.ai tech stack
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
Examples to get you started:
Judging Criteria
Winner
2000 USD Cash Prize plus 50 AI Agents on Agentverse, 1 Million Messages for agent communication and 200,000 Seconds of computation time on Agentverse for one month
First Runner Up
500
500 USD
Second Runner Up
500
500 USD
Support
Support will be available at the hackathon, and you can also reach out to the core dev team who will be able to support you via Discord ↗
Judges
Sana Wajid
Chief Development Officer at Fetch.ai
Alex Blagirev
Strategic Initiative Officer at SingularityNET
Chirag Maliwal
Senior Development Engineer
Abhi Gangani
Developer Advocate
Ready to get started with Fetch.ai Platform?