Intelligent Agent with Persistent Memory and Dynamic Tool Routing

How it works

1. 1.Receive messages and queries from multiple channels via Chat Trigger
2. 2.Store conversation context and history in long-term Buffer Window memory
3. 3.Route request to the appropriate tool based on intent and content using an AI Agent
4. 4.Execute the required action (create document, send email, post tweet)
5. 5.Return results while updating memory with new context for future interactions

Use cases

• Customer support agent that remembers previous context and delivers personalized solutions
• Automated administrative tasks with intelligent channel selection (email, document, messaging)
• Multi-channel agent balancing Twitter, Telegram, and Gmail communication intelligently

Requirements

• OpenAI API key to power the language model
• Connected accounts: Twitter, Gmail, Google Docs, and Telegram
• Setup of custom tools in n8n for each anticipated action

Service Value

Ideal as a smart automation service combining integrations and AI to produce ready-to-use results.