🤖🧠 AI Agent Chatbot + LONG TERM Memory + Note Storage + Telegram
Configured with Agent, Aggregate, Chat Trigger, Google Docs, and additional nodes. Review the connections and setup before adapting this template.
Node categories in this workflow
- Trigger
- AI & models
- Transform
- Data store
- Files / media
- Messaging
Icons describe general node roles, inferred from node types. Inspect the parameters for the configured action.
Drag to pan; use + and − to zoom. Reconstructed from the exported node positions; nothing runs here. Dashed lines represent non-main connections. Full node names and notes appear below.
How it works
The exported workflow contains the following configured nodes. Their connections are shown above; inspect the JSON for the complete logic, expressions, and external actions.
| Node | Category | Type | Operation |
|---|---|---|---|
| When chat message received | Trigger | Chat Trigger | See node parameters |
| gpt-4o-mini | AI & models | OpenAI Chat Model | See node parameters |
| Chat Response | Transform | Edit Fields | See node parameters |
| Window Buffer Memory | Data store | Memory Buffer Window | See node parameters |
| Save Long Term Memories | Files / media | Google Docs Tool | update |
| Retrieve Long Term Memories | Files / media | Google Docs | get |
| Telegram Response | Messaging | Telegram | See node parameters |
| DeepSeek-V3 Chat | AI & models | OpenAI Chat Model | See node parameters |
| AI Tools Agent | AI & models | Agent | See node parameters |
| Save Notes | Files / media | Google Docs Tool | update |
| Retrieve Notes | Files / media | Google Docs | get |
| Aggregate | Transform | Aggregate | See node parameters |
| Merge | Transform | Merge | See node parameters |
Setup
- Download the JSON and import it into an isolated n8n instance. Leave the workflow inactive.
- Connect your own credentials through n8n’s credential store. Replace
REPLACE_WITH_*values with your resource identifiers. - Inspect API destinations, Code nodes, database queries, file paths, and outbound actions.
- Run with synthetic data and harmless destinations. Enable triggers only after checking the actual outputs.
Requirements
An n8n instance with the listed node types and compatible versions. Service-connected workflows may require accounts, credentials, or paid APIs.
Credential types declared in the source
googleDocsOAuth2ApiopenAiApitelegramApi
Workflow notes
Retrieve Long Term Memories
Retrieve Long Term Memories
Google Docs
Save Long Term Memories
Save Long Term Memories
Google Docs
Telegram
Telegram
(Optional)
Save Notes
Save Notes
Google Docs
Retrieve Notes
Retrieve Notes
Google Docs
🤖🧠 AI Agent Chatbot + LONG TERM Memory + Note Storage + Telegram
🤖🧠 AI Agent Chatbot + LONG TERM Memory + Note Storage + Telegram
Purpose and structure
This folder contains the 🤖🧠 AI Agent Chatbot + LONG TERM Memory + Note Storage + Telegram workflow. Its executable nodes use agent, aggregate, chatTrigger, googleDocs, googleDocsTool, lmChatOpenAi, memoryBufferWindow, merge, set, telegram. The table and connection map below are derived from the JSON, not an inferred guarantee of behavior.
Setup
Import inactive. Configure your own credentials and replace REPLACE_WITH_* values. Review external destinations and Code nodes before running.
Entry points
When chat message received
Verification
Sanitized source candidate; not runtime-tested. This overview is generated from node metadata. Read the folder README for the connection map, credential types, and license.
Attribution
https://github.com/Zie619/n8n-workflows/blob/94007c1445d9258a7da116646b79473e7c7c3282/workflows/Telegram/2053_Telegram_Googledocs_Automate_Triggered.json MIT; preserve source notices.
Canvas section labels
These name areas of the original canvas; they do not include explanatory instructions.
- Save To Current Chat Memory (Optional)
- LLM
- AI AGENT with Long Term Memory & Note Storage