🐋🤖 DeepSeek AI Agent + Telegram + LONG TERM Memory 🧠

Target Audience

- Developers: Those looking to automate Telegram bot interactions and enhance user engagement.
- Businesses: Companies wanting to streamline customer support through automated responses.
- Content Creators: Individuals who wish to manage interactions with their audience efficiently.
- AI Enthusiasts: People interested in integrating AI capabilities into their applications for personalized user experiences.

Problem Solved

- Inefficient Communication: This workflow automates responses to user messages on Telegram, ensuring timely and relevant interactions.
- User Verification: It checks user identities and chat IDs to prevent unauthorized access or spam.
- Memory Management: The workflow retains important user information, allowing for personalized interactions based on previous conversations.

Workflow Steps

1. Listen for Telegram Events: The workflow starts by listening for incoming messages through a webhook.
2. User Validation: It checks if the user is recognized by comparing their first name, last name, and ID against stored data.
3. Message Routing: Depending on the message type (text, audio, image), it routes the message to the appropriate processing node.
4. AI Interaction: The AI agent processes text messages, providing personalized responses and saving important information for future interactions.
5. Response Handling: The workflow sends responses back to the user through Telegram, ensuring they receive timely feedback.
6. Memory Management: It stores relevant user information in Google Docs for long-term memory, enhancing future interactions.

Customization Guide

- Modify User Validation: Adjust the validation parameters to include additional user attributes if needed.
- Change Response Messages: Edit the text responses in the Telegram response nodes to align with your brand's voice.
- Integrate Additional APIs: Add more nodes to connect with other services or APIs to enhance functionality.
- Adjust Memory Management: Customize how and what information is saved in Google Docs by altering the memory saving logic.