AI Agent Chatbot with Memory Management and Dynamic Tool Routing

Target Audience

• AI Developers: Those looking to enhance their AI agents with long-term memory capabilities.
• Businesses: Organizations that wish to automate memory storage and retrieval for improved customer interactions.
• Researchers: Individuals studying AI memory systems and their applications in real-world scenarios.
• Tech Enthusiasts: Anyone interested in exploring advanced AI functionalities and integrations with tools like Google Docs, Telegram, and Gmail.

Problem Solved

This workflow addresses the challenge of maintaining context and continuity in AI interactions by implementing a long-term memory system. It allows AI agents to:

• Store important information for future reference, enhancing user experience.
• Retrieve past interactions and user preferences, enabling personalized responses.
• Automate notifications through channels like Gmail and Telegram, keeping stakeholders informed.

Workflow Steps

1. Trigger: The workflow is manually executed, initiating the process.
2. Memory Tool Router: Routes requests based on the specified action (e.g., save, retrieve, send memories).
3. Long Term Memory Operations:
   • Save Memories: Captures user input and stores it in Google Docs for future retrieval.
   • Retrieve Memories: Fetches stored memories from Google Docs when requested.
4. Message Preparation: Formats the retrieved memories into suitable formats for notifications (plain text for Telegram, HTML for Gmail).
5. Send Notifications: Sends the formatted messages to users via Telegram or Gmail, ensuring timely updates.