I built a Personal AI Assistant for Telegram that deploys on Railway with 3 variables
Description and use
A lightweight Telegram AI assistant deployed on Railway that requires only three environment variables, offering persistent memory, voice transcription, and document analysis.
Problem
Users want a lightweight, self-hosted AI assistant that can be accessed directly within Telegram without additional web interfaces or complex infrastructure.
Outcome
The bot provides a fully functional, pay-as-you-go AI assistant within Telegram, with persistent conversation history, long-term memory, and media processing, all managed through a single Railway deployment.
Workflow
- Deploy the Railway template
- Set TELEGRAM_BOT_TOKEN, OWNER_TELEGRAM_ID, and OPENAI_API_KEY
- Start the bot and chat via Telegram
- Use commands /new, /memory, /remember, /forget
- Send voice messages, documents, or images for AI processing
Evidence
Deploy → enter 3 values → start chatting.
The owner whitelist is checked before OpenAI requests and media processing, so random Telegram users can't burn your API credits.
- Record date: 2026-09-09T07:45:51.275Z