We are proud to be the
Unlock One Month Free access to ASI:One Pro and Agentverse Premium
April 24, 2026
Pauley Pavilion
Best Use of Fetch.ai - 1st Prize
$2500
Cash Prize + Internship Interview Opportunity
Best Use of Fetch.ai - 2nd Prize
$1500
Cash Prize + Internship Interview Opportunity
Best Use of Fetch.ai - 3rd Prize
$1000
Cash Prize + Internship Interview Opportunity
Fetch.ai is your gateway to the agentic economy. It provides a full ecosystem for building, deploying, and discovering AI Agents.
Pillars of the Fetch.ai Ecosystem
AI Agents are autonomous pieces of software that can understand goals, make decisions, and take actions on behalf of users.
Challenge statement
Build and Register AI Agents on Agentverse, discoverable via ASI:One, that turn user intent into real, executable outcomes.
Important links
Examples to get you started:
Code
README.mdTo achieve this, include the following badge in your agent’s
README.md

Video
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.
Try it out on Agentverse ↗
from datetime import datetime
from uuid import uuid4
from uagents.setup import fund_agent_if_low
from uagents_core.contrib.protocols.chat import (
ChatAcknowledgement,
ChatMessage,
EndSessionContent,
StartSessionContent,
TextContent,
chat_protocol_spec,
)
agent = Agent()
# Initialize the chat protocol with the standard chat spec
chat_proto = Protocol(spec=chat_protocol_spec)
# Utility function to wrap plain text into a ChatMessage
def create_text_chat(text: str, end_session: bool = False) -> ChatMessage:
content = [TextContent(type="text", text=text)]
return ChatMessage(
timestamp=datetime.utcnow(),
msg_id=uuid4(),
content=content,
)
# Handle incoming chat messages
@chat_proto.on_message(ChatMessage)
async def handle_message(ctx: Context, sender: str, msg: ChatMessage):
ctx.logger.info(f"Received message from {sender}")
# Always send back an acknowledgement when a message is received
await ctx.send(sender, ChatAcknowledgement(timestamp=datetime.utcnow(), acknowledged_msg_id=msg.msg_id))
# Process each content item inside the chat message
for item in msg.content:
# Marks the start of a chat session
if isinstance(item, StartSessionContent):
ctx.logger.info(f"Session started with {sender}")
# Handles plain text messages (from another agent or ASI:One)
elif isinstance(item, TextContent):
ctx.logger.info(f"Text message from {sender}: {item.text}")
#Add your logic
# Example: respond with a message describing the result of a completed task
response_message = create_text_chat("Hello from Agent")
await ctx.send(sender, response_message)
# Marks the end of a chat session
elif isinstance(item, EndSessionContent):
ctx.logger.info(f"Session ended with {sender}")
# Catches anything unexpected
else:
ctx.logger.info(f"Received unexpected content type from {sender}")
# Handle acknowledgements for messages this agent has sent out
@chat_proto.on_message(ChatAcknowledgement)
async def handle_acknowledgement(ctx: Context, sender: str, msg: ChatAcknowledgement):
ctx.logger.info(f"Received acknowledgement from {sender} for message {msg.acknowledged_msg_id}")
# Include the chat protocol and publish the manifest to Agentverse
agent.include(chat_proto, publish_manifest=True)
if __name__ == "__main__":
agent.run()
Agentverse MCP Server
Learn how to deploy your first agent on Agentverse with Claude Desktop in Under 5 Minutes
Agentverse MCP (Full Server)
Client connection URL: https://mcp.agentverse.ai/sse
Agentverse MCP-Lite
Client connection URL: https://mcp-lite.agentverse.ai/mcp




Tool Stack
Judging Criteria
Functionality & Technical Implementation (25%)
Use of Fetch.ai Technology (20%)
Innovation & Creativity (20%)
Real-World Impact & Usefulness (20%)
User Experience & Presentation (15%)
Judges

Sana Wajid
Chief Development Officer - Fetch.ai
Senior Vice President - Innovation Lab

Attila Bagoly
Chief AI Officer
Mentors

Abhi Gangani
Developer Advocate

Kshipra Dhame
Developer Advocate

Dev Chauhan
Developer Advocate
Gautam Manak
Developer Advocate

Rajashekar Vennavelli
AI Engineer

Ryan Tran
Junior Software Engineer

Martin Ceballos
Junior Software Engineer

Daksha Arvind
Junior Software Engineer
Sounds exciting, right?
15:30 PDT
Hacker Check-In Starts
Upper Concourse
18:00 PDT
Opening Ceremony
Pauley Pavilion Floor
19:00 PDT
Hacking Starts
Pauley Pavilion
19:00 PDT
Dinner
Upper Concourse
08:00 PDT
Breakfast
Upper Concourse
10:00 PDT
Fetch.ai Workshop
Pavilion Club A
12:00 PDT
Lunch
Upper Concourse
18:00 PDT
Dinner
Upper Concourse
07:00 PDT
Hacking Ends
Pauley Pavilion Floor
08:00 PDT
Breakfast
Upper Concourse
10:00 PDT
Judging
Pauley Pavilion Floor
12:45 PDT
Top 5 Demos
Pauley Pavilion Floor
13:30 PDT
Closing Ceremony
Pauley Pavilion Floor