This workflow implements an AI chat agent that receives user messages, retrieves long-term memories and notes from Google Docs, optionally saves new memories or notes, and responds via Telegram. It uses LangChain agent tools with OpenAI language models and a sliding-window memory buffer to provide context-aware, personalized replies.
What You Can Do
- Receive chat messages via the LangChain chat trigger and process them with an AI agent
- Retrieve long-term memories and notes from Google Docs and feed them into the agent for context
- Save new memories or notes back to Google Docs using AI tool outputs
- Reply to users on Telegram with formatted AI responses
- Use a sliding-window buffer to keep recent conversational context available to the agent
Quick Start
- Import this workflow into n8n
- Configure your credentials for OpenAI, Google Docs (OAuth2), and Telegram
- Replace the Google Doc placeholders with your document URLs or IDs and set your Telegram chatid
- Activate the workflow and send a test message to verify retrieval, saving, and Telegram replies
