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

A developer open-sourced solana-twitter-ai-agent, a Twitter (X) AI Agent and Auto-Reply Bot built in Python. The bot automatically responds to mentions and tweet replies using OpenAI GPT-3.5, with features including rate limiting, daily tweet limits, detailed logging, and secure API key management via .env. The project provides a complete vertical slice with wallet flow, on-chain logic, backend state, and a responsive frontend for developers to study or fork.

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 Adjust the diagram to match your repo layout if components differ. Tech stack Quick start Setup steps: - Install dependencies see README — typically npm install or yarn - Copy .env.example to .env and fill in RPC, wallet, and API keys - Run local validator or point to devnet/mainnet as documented - 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 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