Respond to Telegram messages with intelligent agent and query buffering

How it works

1. 1.Receive incoming Telegram messages via the dedicated trigger node
2. 2.Buffer and aggregate consecutive messages by time and sender to optimize resource usage
3. 3.Process queries through an AI agent powered by OpenAI with access to previous conversation history
4. 4.Store context and responses in Postgres to ensure conversation continuity and memory
5. 5.Send the AI-generated reply back to the user in Telegram

Use cases

• Automated customer support bot on Telegram that learns from conversation history
• Intelligent bot that groups similar questions and answers them in batches
• Personal AI assistant that maintains long-term conversation memory
• Autonomous Telegram channel responder with full contextual understanding

Requirements

• Active Telegram Bot account with its API token configured
• OpenAI API key for accessing the language model
• Postgres database set up to store conversation context and message history
• Supabase account for simplified data management interface (optional)

Service Value

Ideal as a smart automation service combining integrations and AI to produce ready-to-use results.