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Personal assistant bot with multi-agent system using Telegram & Google Gemini

Akil AAkil A
2316 views
2/3/2026
ZendeskGoogle SheetsData LoggingAutomationCRM
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How It Works

  • Telegram Trigger receives incoming messages (text, voice, photo, document).
  • Switch routes by message type to appropriate processors:
    • Text → forwarded as-is.
    • Voice → downloaded and sent to Transcribe a recording.
    • Photo → downloaded, converted to base64, then sent to Analyze image.
    • Document → routed to document handler.
  • Merge collects the processed input and passes a unified prompt to Manager Agent.
  • Manager Agent (LM: Google Gemini) orchestrates specialized agents/tools:
    • memory_base (Airtable) → saving & retrieving personal/company memory
    • todo_and_task_manager (Todoist / Google Sheets) → tasks
    • email_agent (Gmail) → composing/sending emails
    • calendar_agent (Google Calendar) → scheduling
    • research_agent (SerpAPI / Wikipedia / Wolfram) → web research
    • project_management (Google Sheets) → project updates
  • Manager Agent updates memory windows and sends the final reply back to Telegram.

Setup Steps

  1. Create and configure Telegram bot; set bot token/webhook in Telegram Trigger and Telegram nodes. Update chatId placeholders.
  2. Add Google Gemini (PaLM) credentials in the Gemini model nodes.
  3. Configure Airtable knowledge-base: set base ID & table IDs used by memory_base nodes.
  4. Connect Google APIs: Sheets, Calendar, Gmail credentials and set document/sheet IDs.
  5. Configure Todoist, SerpAPI, WolframAlpha credentials and any other tool API keys.
  6. Verify Window Buffer Memory sessionKey values (match user sessions).
  7. Check schedule triggers (cron expressions) and adjust times/timezone.
  8. Run quick tests: send text, voice, image, and confirm replies and memory writes.

Estimated Setup Time

  • 30–60 minutes → if credentials & IDs are ready.
  • 2–4 hours → full setup (API keys, spreadsheets, Airtable, detailed permissions).
  • 4–8 hours → complex deployment (team permissions, multiple calendars, advanced tool tuning, production testing).

Personal Assistant Bot with Multi-Agent System using Telegram & Google Gemini

This n8n workflow creates a sophisticated personal assistant bot accessible via Telegram, leveraging a multi-agent system powered by Google Gemini. It allows users to interact with an AI agent that can perform various tasks by utilizing different tools, providing a conversational and intelligent experience.

What it does

This workflow automates the following steps:

  1. Listens for Telegram Messages: It acts as a Telegram bot, triggering whenever a new message is received.
  2. Initializes AI Agent: Upon receiving a message, it sets up an AI agent powered by the Google Gemini Chat Model.
  3. Configures Memory: A simple buffer memory is used to maintain conversational context with the user.
  4. Provides Tools: The AI agent is equipped with several tools to perform tasks:
    • SerpApi (Google Search): For searching information on the web.
    • Wikipedia: For retrieving information from Wikipedia.
    • Wolfram|Alpha: For computational knowledge and factual answers.
    • AI Agent Tool: Allows the main agent to delegate tasks to sub-agents or use other complex AI functionalities.
  5. Processes User Input: The AI agent receives the user's message and processes it using its configured language model and available tools to formulate a response.
  6. Sends Response to Telegram: The AI agent's response is then sent back to the user via Telegram.
  7. Schedules Cleanup (Optional/Placeholder): A schedule trigger and merge node are present, suggesting a potential future or optional functionality for periodic cleanup or maintenance tasks, though not directly connected to the main conversational flow in the provided JSON.
  8. Field Editing (Optional/Placeholder): An "Edit Fields (Set)" node is present, which could be used for data manipulation or formatting at various points, but is currently disconnected from the main flow.

Prerequisites/Requirements

To use this workflow, you will need:

  • Telegram Bot Token: A Telegram bot configured with a token for the Telegram Trigger and Telegram nodes.
  • Google Gemini API Key: Credentials for the Google Gemini Chat Model and Google Gemini nodes.
  • SerpApi API Key: (Optional, if using Google Search) Credentials for the SerpApi (Google Search) node.
  • Wolfram|Alpha App ID: (Optional, if using Wolfram|Alpha) Credentials for the Wolfram|Alpha node.
  • n8n instance: A running n8n instance to host and execute the workflow.

Setup/Usage

  1. Import the Workflow: Download the provided JSON and import it into your n8n instance.
  2. Configure Telegram Credentials:
    • Create a new Telegram credential in n8n.
    • Enter your Telegram Bot Token.
    • Select this credential in both the Telegram Trigger node and the Telegram node.
  3. Configure Google Gemini Credentials:
    • Create a new Google Gemini credential in n8n.
    • Enter your Google Gemini API Key.
    • Select this credential in the Google Gemini Chat Model and Google Gemini nodes.
  4. Configure Tool Credentials (Optional):
    • If you plan to use SerpApi, Wolfram|Alpha, or other tools, create and configure their respective credentials in n8n and select them in the corresponding nodes.
  5. Activate the Workflow: Once all credentials are set up, activate the workflow.
  6. Interact via Telegram: Send messages to your configured Telegram bot, and the AI assistant will respond.

The Schedule Trigger and Edit Fields (Set) nodes are currently disconnected and can be configured or removed based on your specific needs for additional functionality or data processing.

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