Behind the Scenes of FOMO
In FOMO, we have integrated intelligent agents that interact with users in various domains like news, crypto, DeFi and beyond. These agents leverage the Model Context Protocol (MCP) to dynamically fetch relevant data, process it with AI models like GPT-4o, and deliver customized responses. Whether you're looking for the latest news, stock insights, or travel recommendations, the agents are here to assist you in a seamless, user-friendly way, offering tailored suggestions and support to meet your needs.
The Cutting-Edge Tech Behind Our AI Agents
MCP Architecture
MCP is the core system that lets multiple AI agents communicate and work together smoothly. It ensures these agents can act independently but still cooperate in real-time. This system makes everything run fast and efficiently, even when handling complex tasks.
AI Agents
Our agents are trained using real-world data and improve over time through reinforcement learning. We utilize large language models (LLMs) and neural networks for sophisticated decision-making in complex environments.
Web3 Integration
Our architecture seamlessly integrates with the decentralized world, allowing agents to interact with external APIs such as DeFi protocols, crypto wallets, and blockchain networks for autonomous execution.
Paving the Way for the Agentic Future
At FOMO, we're shaping the future of a decentralized web powered by autonomous AI agents. Our MCP Architecture enables agents to think, act, and collaborate across platforms, from DeFi protocols to blockchain networks. These agents autonomously execute user decisions in real-time, optimizing everything from trading strategies to user interactions. As we evolve this agent-driven ecosystem, each decision and interaction will be powered by intelligent agents seamlessly integrating into the decentralized world. The agentic future is not just an idea—it's happening now. At FOMO, we're leading the way.
Bringing AI to Your Fingertips
Our upcoming mobile app will bring the power of AI directly to you, enabling real-time decision-making and seamless interaction with the crypto ecosystem. Expect cutting-edge AI features designed to make managing your assets and investments smarter and easier.
How We Create Our Agents
Our creating process involves:
- 1. Agents are created using the AGNO framework: The framework allows the creation of agents with different specialized functions, such as providing weather updates, financial analysis, Crypto, DeFi and more.
- 2. AI models like OpenAI's GPT-4o are used for intelligent decision-making and generating responses.
- 3. Agents utilize various external tools (Agno tools) such as DuckDuckGo, YFinance, and Google Search to retrieve real-time data and perform tasks.
- 4. Dynamic agent creation: You can create agents by simply providing a description of what they should do. The system then automatically selects the appropriate tools and generates the agent.
- 5. Continuous improvement: Agents can evolve and adapt over time based on user interaction and further integration of tools..
// Define a simple agent
class TradingAgent {
constructor(name) {
this.name = name;
} // Function to analyze market data and make a recommendation
analyzeMarket(asset) {
return `Analyze market for ${asset} and recommend action.`;
}
}// Create an agent
const agent = new TradingAgent('CryptoTrader');// MCP orchestration to manage agents
class MCP {
constructor() {
this.agents = [];
} addAgent(agent) {
this.agents.push(agent);
} executeTask(task, asset) {
if (task === 'Analyze') {
console.log(this.agents[0].analyzeMarket(asset)); // Execute task
}
}
}// Set up MCP and execute a task
const mcp = new MCP();
mcp.addAgent(agent);
mcp.executeTask('Analyze', 'BTC');Our Tech Stack
Ready to Join the AI Revolution?
Explore our marketplace of AI agents or create your own in our playground. The future of Web3 is agentic, and it starts here.