Templates / 🤖🧠 AI agent chatbot + LONG TERM memory + note storage + Telegram

🤖🧠 AI agent chatbot + LONG TERM memory + note storage + Telegram

Needs changes

by Joseph LePage ✓ · 58,425 views · created 2025-02-09 · Personal Productivity, AI Chatbot

Needs changes. This template uses 1 thing(s) that n8n 3.0 removes: AI Agent v1 (old agent modes). 1 breaking item(s) found. Static check, last run 2026-10-19.

What this workflow does

This AI workflow has 13 nodes and runs when a chat message arrives. Along the way it connects OpenAI Chat Model, Google Docs and Telegram.

How it runs

Trigger: When a chat message arrives.

  1. Retrieve Long Term Memories (Google Docs): get
  2. Retrieve Notes (Google Docs): get
  3. Merge: merges the data from its input branches
  4. Aggregate: combines items into one
  5. AI Tools Agent (AI Agent): runs an AI agent, with model: gpt-4o-mini; 2 tools (Save Notes, Save Long Term Memories); memory: Window Buffer Memory
  6. Telegram: uses Telegram
  7. Chat Response (Edit Fields (Set)): sets 1 field: output
  8. DeepSeek-V3 Chat (OpenAI Chat Model): uses OpenAI Chat Model

Services it uses

OpenAI Chat ModelGoogle DocsTelegram

Before you upgrade to n8n 3.0

1 thing in this workflow is removed in n8n 3.0. Fix it before you upgrade:

  • AI Agent v1 (old agent modes) in AI Tools Agent (v1.7): replace with Latest AI Agent node (Tools Agent). For SQL Agent, use a Postgres or MySQL tool with a recent AI Agent.

Rather not rewrite it? Many of these flows can be rebuilt in Make (free plan).

Removed in 3.0Replace with
AI Agent v1 (old agent modes)
AI Tools Agent (v1.7)
Latest AI Agent node (Tools Agent). For SQL Agent, use a Postgres or MySQL tool with a recent AI Agent.

Nodes used (10)

From the author

This workflow template creates an AI agent chatbot with long-term memory and note storage using Google Docs and Telegram integration. Google Docs Integration 📄 n8n Google Docs Node Setup Google Credentials Telegram Integration 💬 Telegram Setup Core Features…

Excerpt from Joseph LePage's description on n8n.io.

View the original on n8n.io → Check your own copy

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