Fetch.ai has recently launched ASI-1 Mini, a Web3-native LLM designed for complex, autonomous workflows.
Try now
Fetch.ai has recently launched ASI-1 Mini, a Web3-native LLM designed for complex, autonomous workflows.
Try now
August 1, 2025 to August 31, 2025
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Fetch.ai’s vision is to create a open AI Agent marketplace. 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.
Fetch Network - underpins the entire system, ensuring smooth operation and integration.
ASI:One - A Web3-native large language model (LLM) optimized for agent-based workflows.
Challenge statement
Imagine AI agents tapping directly into decentralization. Your challenge is to fuse Internet Computer canisters with Fetch.ai uAgents on Agentverse, using ASI:One as your interface.
Deploy an Internet Computer canister smart contract to serve as your backend. Build a uAgent that interprets natural‑language prompts, makes HTTP calls to your canister, and turns the responses into chat replies using the ChatProtocol. Connect it all so anyone can chat with your agent and get instant responses.
Show us a focused use case in a domain of your choice that makes this integration meaningful. Register your uAgent on Agentverse, connect it to your Internet Computer backend, and demo live queries through ASI:One.
Dive into the docs from Fetch.ai and Internet Computer and start building.
Code
README.md file includes key details about your agents, such as their name and address, for easy reference.To achieve this, include the following badge in your agent’s README.md file:
Video
Fetch.ai and ICP Integration Flow
Fetch.ai Tool 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()
Examples to get you started:
Judging Criteria
Uniqueness: Does the project introduce a novel Web3 use case leveraging Fetch.ai and ICP’s technology?
Revenue Model: Is there a clear plan for monetization and user adoption?
Full-Stack Development: Is the application functional end-to-end, achieving the desired functionality?
Presentation Quality: How well is the project described and presented (non-technical)?
Utility & Value: Does the project make sense, provide value, and address a real need?
Demo Video Quality: Does the demo clearly convey the idea, show the app’s flow, and walk through key code?
Code Quality: Is the code well-written, efficient, and maintainable?
Documentation: Is the project thoroughly documented, including:
Technical Difficulty: How challenging was the project to build, and were advanced features used (e.g., HTTP outcalls, timers, Bitcoin API, t-ECDSA, Chat Protocol in Fetch agents, etc.)?
Eligibility: Does the submission comply with team and participant criteria (2–5 members)?
1st Prize
$2500
Cash Prize
2nd Prize
$1500
Cash Prize
3rd Prize
$1000
Cash Prize
Judges
Bruno Calabretta
Head of Ecosystem Hubs - Dfinity
Sana Wajid
Chief Development Officer - Fetch.ai
Senior Vice President - Innovation Lab
Attila Bagoly
Chief AI Officer - Fetch.ai
Venita Adorete
Hub Manager - ICP Hub Indonesia
Mentors
Tiago Loureiro
Dev Rel - ICP HUBs
Michal Lustyk
Dev Rel - ICP HUBs
Kenny Rivaldi
Hub Operating Manager - ICP Hub Indonesia
Steve Kimoi
Dev Rel - ICP HUB Kenya
Abhi Gangani
Developer Advocate - Fetch.ai
Kshipra Dhame
Developer Advocate - Fetch.ai
Mehul Gaidhani
Technical Product Lead - Mettalex
Devendra Chauhan
Smart Contract Engineer - Mettalex
10:00 GMT+8
Registration Opens
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10:00 GMT+8
Submissions Open
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17:01 GMT+8
Registration & Submission Close
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10:00 GMT+8
Judging
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12:00 GMT+8
Winners Announced
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