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

Description

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

Create and configure Telegram bot; set bot token/webhook in Telegram Trigger and Telegram nodes. Update chatId placeholders.
Add Google Gemini (PaLM) credentials in the Gemini model nodes.
Configure Airtable knowledge-base: set base ID & table IDs used by memory_base nodes.
Connect Google APIs: Sheets, Calendar, Gmail credentials and set document/sheet IDs.
Configure Todoist, SerpAPI, WolframAlpha credentials and any other tool API keys.
Verify Window Buffer Memory sessionKey values (match user sessions).
Check schedule triggers (cron expressions) and adjust times/timezone.
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).