September 21, 2024
San Francisco, California
17:00 PDT
Pre-Workshop Networking with pizza
Digital Garage US, Inc., San Francisco
18:00 PDT
Opening Ceremony with Sana Wajid
Digital Garage US, Inc., San Francisco
18:10 PDT
"Built on Fetch.ai" with Yuanbo Pang
Digital Garage US, Inc., San Francisco
18:20 PDT
"Built on Fetch.ai" with Chinmay Nilesh
Digital Garage US, Inc., San Francisco
18:30 PDT
AI Agents Workshop with Mark Losey
Digital Garage US, Inc., San Francisco
19:30 PDT
Post-Workshop Networking
Digital Garage US, Inc., San Francisco
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
Fetch offers an easy way to create your AI agent. AI agents provide a revolutionary way to interact with LLMs. Fetch empowers LLMs from simple text generation methods to a framework that can understand a complex query, dissect it into understandable steps, and execute all of them. Although extremely powerful on their own, the capabilities of AI agents can be enhanced by using other tools.
Use the following services in your uAgent code to do more with your code! If you use all these services in your project, you would be qualified to win the Top Agentified App Prize!
Good luck and code away!
Techstack
Toolhouse
AI function calling made easy
Thinking of an LLM-powered application is easy; choosing the right one is not. Over the past few years, the number of LLMs available has grown exponentially, each with its drawbacks and benefits. Each offers strengths and weaknesses in varying areas, so choosing the best LLM becomes critical for a robust and efficient application.
Toolhouse lets you effortlessly switch between LLMs in code without the hassle of dealing with multiple APIs, calls, and service accounts. You just need one account, which lets you explore all the LLMs and change them at the click of a button.
Wrap Toolhouse with uAgent code to access a variety of LLMs directly from within your agent for various applications such as generative text, RAG and many other AI powered features.
PREM AI
Elevate your AI Strategy
Before diving deep into your IDE and coding your project, testing it to check its viability is essential. If you are creating a project heavily dependent on an LLM and it is impossible to change it due to your architecture, testing is necessary before you make the plunge.
PREM AI offers developers a quick and straightforward playground interface to see how LLMs react to and handle your queries. LLMs have different quirks, so you must know them before committing to one, and once your agent is deployed, it is difficult to change the selected model without downtime.
Outsource all your generative AI needs using the PREM SDK. Instead of chaning models in your uAgent code, handle all parameters from your PREM AI dashboard.
Groq
Empower Your AI Agents
Groq helps make your AI agents and apps smarter by giving them the tools to talk and understand natural language. With Groq, your AI agents and apps can have real-time conversations with users, respond quickly, and handle tasks like translating languages or analyzing text.
Using Groq’s pre-built models and tools, your AI agents and apps can interact with people naturally, like chatbots, virtual assistants, or any app that needs to understand and respond to multi-modal user input.
Use Groq to empower your AI agents with one of the most capable elements, ensuring your agents can accurately understand and execute your user’s requests.
Stori.ai
Your Marketing Done With AI Agents
Stori AI provides a complete implementation of AI agents to help market your product. Development is the first step of a product life cycle; the product’s marketing and selling ability makes or breaks it. If you make a good product but not a good strategy, it most likely won’t succeed.
Stori AI helps you curate the best brand for your product. With just a few inputs, it can help you with aesthetics, wording, and more. Your recommended brand kit would be tailored to your exact needs, leveraging AI to create the most optimal result.
Use Stori.ai to generate a marketing plan, brand colors and more for your agent! You can input your parameters, description and much more to make your agent stand out on socials!
MultiOn
Automate Your Online Tasks with AI Agents
MultiOn enables AI agents to complete tasks online, from start to finish, giving users more control over their time. These agents can navigate websites and services on their own, performing tasks based on simple inputs. With MultiOn, tedious tasks and complex online workflows can be delegated to AI, allowing you to focus on what truly matters.
MultiOn’s AI agents can handle everything from making appointments to managing your online accounts, making it easier to accomplish your daily to-dos without manual effort.
Use the MultiOn SDK in your uAgent code to execute queries in a headless browsers and give a new dimension of features to your existing AI agents!
Agentverse
Your AI Agent Hosting Platform
Agentverse by Fetch.ai provides a seamless platform for creating, deploying, and managing AI agents. It simplifies the complexities of hosting, ensuring your agents are always up and running. With Agentverse, you can explore a marketplace of pre-built agents or contribute your own, offering solutions tailored to various tasks.
The platform's intuitive interface allows developers to easily integrate, test, and manage agents with real-time code editing and continuous uptime.
Whether you're looking to enhance existing applications or build new solutions from scratch, Agentverse serves as a comprehensive hub for all your AI agent needs, making advanced technology accessible and adaptable.
Fetch.ai Architechture
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
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
CDO at Fetch.ai Innovation Lab
Elliot Bertram
BD Director at Fetch.ai Innovation Lab
Mark Losey
CTO at FlockX
Mentors
Sanket Shekhar Kulkarni
Intern
Tanay Godse
Intern
Chinmay Mahagaonkar
Intern
Sounds exciting, right?
Ready to get started with Fetch.ai Platform?
