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:
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
Build a solid application using uAgents using custom frontend.
OR
Build a solid solution (chained integrations) that works on DeltaV.
Additional Information: If you want to learn more about uAgents through articles, please Click Here.
Requirements
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
Examples to get you started:
Prizes
Cash Prize
Devpost Achievements
Submitting to this hackathon could earn you:
Judges
Sana Wajid
Programme and Operations Director
Judging Criteria
-
Judging Criteria
Parameters,Definition,Example
Questions? Email the hackathon manager
Tell your friends
This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.