Build a Local Privacy-First AI Assistant with Telegram, Ollama, and Whisper

Create a privacy-focused AI assistant that operates entirely offline, using Telegram for interaction, Ollama for language processing, and Whisper for speech-to-text conversion.

n8n
Ahmed Hassan

33 workflows

This workflow sets up a local AI assistant that leverages Telegram for user interaction, Ollama for language model processing, and Whisper for converting voice messages to text. It ensures all data processing occurs on your local machine, maintaining user privacy by avoiding cloud services. The assistant can handle various tasks, from answering general questions to managing to-do lists, all while keeping your data secure and private.

$14.99
Last updated October 3, 2026
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Tags

if
switch
telegram
renameKeys
stickyNote
httpRequest
agent
telegramTrigger
lmChatOllama
memoryBufferWindow

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How to import this workflow into n8n

  1. 1Purchase or download the workflow to get the n8n workflow JSON file.
  2. 2In your n8n instance, open Workflows and choose "Import from File" (or paste the JSON with Ctrl+V on the canvas).
  3. 3Open each node marked with a credential warning and connect your own accounts and API keys.
  4. 4Run the workflow once manually to verify the data flow, then toggle it to Active.

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