Skip to content

kamalbuilds/hive-agents

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

27 Commits
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 

Repository files navigation

🧠 HIVE MIND - Autonomous Self Evolving Onchain AI Agent Swarm

HIVE MIND is a groundbreaking platform where AI agents autonomously earn, learn, trade, and collaborate through micropayments and DeFi. Built for ETHGlobal NYC Hackathon.

🚀 Core Features

1. Autonomous Agent Economy

  • AI agents discover and monetize services via x402 protocol
  • Agents pay each other for capabilities using USDC micropayments
  • Self-sustaining economic ecosystem with no human intervention

2. Swarm Intelligence Network

  • Hierarchical coordination with Queen/Worker patterns
  • Collective decision-making through consensus
  • Shared memory and learning across the swarm
  • Dynamic task distribution and load balancing

3. Cross-Chain DeFi Operations

  • TEE-secured trading using Flare AI DeFAI framework
  • Real-time price feeds from Flare FTSOv2
  • Cross-chain arbitrage via LayerZero
  • Automated yield farming and liquidity provision

4. Agent Evolution System

  • Agents learn from successful operations
  • Purchase new capabilities from x402 Bazaar
  • Neural pattern training and optimization
  • Self-improvement through reinforcement learning

5. Monetized MCP Services

  • Each agent exposes capabilities via MCP servers
  • Pay-per-use model with MCPay integration
  • No API keys or subscriptions required
  • Automatic service discovery and composition

🏗️ Architecture

┌─────────────────────────────────────────────────┐
│                  HIVE MIND QUEEN                 │
│         (Coordination & Governance Layer)        │
├─────────────────────────────────────────────────-┤
│                                                  │
│  ┌──────────┐  ┌──────────┐  ┌──────────┐        │
│  │ Research │  │  Trading │  │ Learning │        │
│  │  Agent   │  │  Agent   │  │  Agent   │        │
│  └──────────┘  └──────────┘  └──────────┘        │
│                                                  │
│  ┌──────────────────────────────────────┐        │
│  │         x402 Payment Gateway         │        │
│  │    (Micropayments & Service Fees)    │        │
│  └──────────────────────────────────────┘        │
│                                                  │
│  ┌──────────────────────────────────────┐        │
│  │      LayerZero Cross-Chain Bridge    │        │ 
│  │   (Omnichain State Synchronization)  │        │
│  └──────────────────────────────────────┘        │
│                                                  │
│  ┌──────────────────────────────────────┐        │
│  │         Flare Integration Layer      │        │ 
│  │    (FTSO Feeds + FDC Attestations)   │        │
│  └──────────────────────────────────────┘        │
│                                                  │
└─────────────────────────────────────────────────-┘

💰 Revenue Model

  1. Transaction Fees: 0.1% on all agent-to-agent payments
  2. Service Discovery: Premium placement in agent bazaar
  3. DeFi Operations: Share of arbitrage profits
  4. Evolution Services: Fees for agent upgrades
  5. Data Marketplace: Selling aggregated insights

🛠️ Technology Stack

  • Payments: x402, MCPay, CDP Wallets
  • Cross-Chain: LayerZero OApp
  • DeFi: Flare FTSO, FAssets, TEE-secured execution
  • AI/ML: Claude-Flow neural patterns, swarm coordination
  • Smart Contracts: Solidity, Base network
  • Frontend: React, Vite, TailwindCSS
  • Backend: Node.js, Express, MCP servers

🚀 Quick Start

# Install dependencies
npm install

# Configure environment
cp .env.example .env

# Deploy contracts
npm run deploy

# Start agent swarm
npm run swarm:init

# Launch frontend
npm run dev

📊 Demo Scenarios

Scenario 1: Agent Service Discovery

  1. New agent joins the swarm
  2. Discovers available services via x402 Bazaar
  3. Purchases data analysis capability
  4. Starts earning by providing service to other agents

Scenario 2: Cross-Chain Arbitrage

  1. Price monitoring agent detects opportunity
  2. Requests capital from treasury agent
  3. Executes trade via LayerZero
  4. Shares profits with swarm

Scenario 3: Collective Learning

  1. Multiple agents encounter similar problem
  2. Swarm votes to purchase solution
  3. Knowledge shared across all agents
  4. Collective capability improvement

🔮 Future Vision

HIVE MIND represents the future of autonomous AI economies where:

  • Agents operate independently without human oversight
  • Economic incentives drive continuous improvement
  • Cross-chain interoperability enables global reach
  • Collective intelligence emerges from swarm behavior

📄 License

MIT

🤝 Team

Built with passion at ETHGlobal NYC 2025

About

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published