OMNIFLUX AI
  • OMNIFLUX AI - Solana Trading Bot AI
  • Roadmap: Building the Ultimate Meme Coin Trading Platform
  • Trading Components
  • Security Components
  • Agent System
  • Swarm Intelligence
  • Agent Skills & Specialization
  • AI Integrations
  • Portfolio Optimization
  • Wallet Integrations
  • Price Feed Integrations
  • CLI Features
  • Technical Features
  • Documentation
  • Security and GitHub Preparation
  • Quick Start
  • Example: Executing a Trade on Raydium
  • Architecture Overview
  • Development Guide
  • Contributing to OMNI FLUX
  • License
  • Support
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Architecture Overview

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Last updated 5 days ago

OmniFlux follows a modular client-server architecture:Directory Structure

├── src/                   # Core source code
│   ├── agents/            # Agent management and specialization
│   ├── swarms/            # Swarm intelligence and optimization
│   ├── blockchain/        # Solana blockchain interactions
│   ├── dex/               # DEX operations (Raydium, Orca)
│   ├── storage/           # Decentralized storage (Arweave, IPFS)
│   └── api/               # HTTP API server and endpoints
├── packages/              # TypeScript/JavaScript packages
│   ├── cli/               # Interactive CLI implementation
│   ├── python-wrapper/    # Python interface for OmniFlux
│   └── wallets/           # Wallet integrations (Phantom, Solflare)
├── server.js              # Main HTTP server (port 8052)
├── .env                   # Environment variables (not committed)
├── README.md              # This file
└── ...                    # Config, Docker files, etc.

Key Architecture Points

  • Modular Design: Separate modules for agents, swarms, blockchain, and DEX operations.

  • Client-Server Model: Node.js server (port 8052) with a TypeScript CLI and Python wrapper.

  • Solana Backend: Handles trading, blockchain interactions, and swarm optimization.

  • TypeScript CLI: User-friendly interface for managing trades and agents.

  • Python Wrapper: Provides programmatic access with AI integrations.