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Crancer Dev — Polymarket Specialist
Crancer Dev — Polymarket Specialist

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I open-sourced Twitter (X) AI Agent / Auto-Reply Bot built in Python

#ai #agents #openai #bot

Twitter (X) AI Agent / Auto-Reply Bot built in Python

A Twitter (X) AI Agent / Auto-Reply Bot built in Python. Automatically responds to mentions and tweet replies using OpenAI GPT-3.5. Includes rate limiting, daily tweet limits, detailed logging, and secure API key management via .env.

I open-sourced solana-twitter-ai-agent for developers in Open-source developer tools. This post walks through what it does, how the pieces fit together, and how to run it locally.

Why I built this

  • Automate trading or snipe strategies with a typed codebase
  • Backtest ideas before deploying with real capital
  • Extend the bot with your own risk rules and market filters

Most tutorials stop at a smart contract or a UI mockup. I wanted a complete vertical slice — wallet flow, on-chain logic, backend state, and a responsive frontend — so you can study or fork a production-shaped codebase.

What it does

  • Automatic reply to mentions
  • Automatic reply to comments on tweets
  • Creating smart replies with OpenAI GPT-3.5
  • Rate limiting and daily tweet limit control
  • Detailed logging system
  • A Twitter (X) AI Agent / Auto-Reply Bot built in Python
  • API keys are securely stored in .env file
  • API usage is controlled with rate limiting

Architecture at a glance

  • Feature — Automatic reply to mentions
  • Feature — Automatic reply to comments on tweets
  • Feature — Creating smart replies with OpenAI GPT-3.5 
User Wallet  →  On-chain Program  →  VRF / Settlement
                    ↓
              Backend (API + WebSockets)  →  MongoDB / state
                    ↓
                 Frontend UI (real-time)
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Adjust the diagram to match your repo layout if components differ.

Tech stack

  • Python

Quick start 

git clone https://github.com/DexCrancer/solana-twitter-ai-agent.git
cd solana-twitter-ai-agent
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Setup steps:

  1. Install dependencies (see README — typically npm install or yarn)
  2. Copy .env.example to .env and fill in RPC, wallet, and API keys
  3. Run local validator or point to devnet/mainnet as documented
  4. Start the backend and frontend; connect wallet and create a test room

See the full README for environment variables, deploy scripts, and test commands: https://github.com/DexCrancer/solana-twitter-ai-agent

What to explore in the repo

  • Program / contract entrypoints and account models
  • API routes and WebSocket event handlers
  • Frontend wallet adapter and game room components
  • Tests, scripts, and deployment configs

Contributing

Issues and PRs are welcome. If this helped you learn something, a ⭐ on GitHub makes it easier for others to find.

Links

Disclaimer: Educational content only. Not financial advice. Gambling and trading involve risk; use responsibly and comply with local laws.

aiagent #autoreplybot #gptbot #openaibot #pythonbot #socialmediabot

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