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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.
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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.
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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
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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.
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Tech stack
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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
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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
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Contributing
Issues and PRs are welcome. If this helped you learn something, a ⭐ on GitHub makes it easier for others to find.
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Links
Disclaimer: Educational content only. Not financial advice. Gambling and trading involve risk; use responsibly and comply with local laws.
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aiagent #autoreplybot #gptbot #openaibot #pythonbot #socialmediabot