Block 1 - Simple Memory
- Type / Role
- @n8n/n8n-nodes-langchain.memoryBufferWindow - memoryBufferWindow
- Config choices
- Version 1.3
This workflow is provided as-is. Please review and test before using in production.
Summary Chat with your AI agent in Telegram. It remembers important facts about you in Airtable, can transcribe your voice messages, search the web, read and manage Google Calendar, fetch Gmail, an...
@n8n/n8n-nodes-langchain.memorybufferwindow, n8n-nodes-base.airtabletool, n8n-nodes-base.airtable, n8n-nodes-base.aggregate, n8n-nodes-base.merge, n8n-nodes-base.telegramtrigger, n8n-nodes-base.telegram, @n8n/n8n-nodes-langchain.toolserpapi
This workflow is cataloged by N8N Workflows and links back to its original n8n.io source page by Vlad Arbatov.
Original n8n.io sourceChat with your AI agent in Telegram. It remembers important facts about you in Airtable, can transcribe your voice messages, search the web, read and manage Google Calendar, fetch Gmail, and query Notion. Responses are grounded in your recent memories and tool outputs, then sent back to Telegram.
| Node | Type | Purpose |
|---|---|---|
| Telegram Trigger | Trigger | Receive text/voice from Telegram |
| Text vs voice router | Flow control | Route text vs voice; also trigger memories fetch |
| Get a file | Telegram | Download voice audio |
| Transcribe a recording | OpenAI | Speech-to-text for voice notes |
| Get memories | Airtable | Load recent user memories |
| Aggregate | Aggregate | Pack memory records into “Memories” array |
| Merge | Merge | Combine input and memories before agent call |
| Simple Memory | Agent memory | Short-term chat memory per chat ID |
| xAI Grok Chat Model | LLM | Core reasoning model for the Agent |
| Search Web with SerpAPI | Tool | Web search |
| Google Calendar tools | Tool | List/create/update/delete events |
| Gmail tools | Tool | Search and read email |
| Notion tool | Tool | Query a Notion database |
| Save Memory | Airtable Tool | Persist distilled user facts |
| AI Agent | Agent | Orchestrates tools + memory, produces the answer |
| Send a text message | Telegram | Reply to the user in Telegram |
This catalog entry is organized from the workflow JSON. The node-level section below shows the executable blocks available for review before importing the template.
| Workflow | Multi-tool personal assistant with Telegram, Grok-4, Gmail, Calendar & Memory |
|---|---|
| Complexity | advanced |
| Nodes | 23 |
| Categories | AI Chatbot, Multimodal AI |
| Author | Vlad Arbatov |
| Published | 15 Aug 2025 |
Use the JSON export at /data/workflows/7452/7452.json as the source template for this automation.
Open n8n, import the downloaded JSON, and review each node before activating the workflow.
Replace placeholder credentials, API keys, webhook URLs, account IDs, and environment-specific values with your own settings.
Run the workflow manually or in a staging workspace, inspect node output, and confirm downstream systems receive the expected data.
Enable the workflow only after testing, then monitor executions, errors, and rate limits during the first production runs.
Review imported nodes carefully before activation. This catalog entry is intended to help you inspect the workflow structure, understand required services, and find related templates faster.
Node names, credentials, schedules, webhook paths, and external service limits may need adjustment for your workspace.
Summary Chat with your AI agent in Telegram. It remembers important facts about you in Airtable, can transcribe your voice messages, search the web, read and manage Google Calendar, fetch Gmail, an...
Review the workflow JSON, configure any required credentials in n8n, and test the automation in a safe workspace before using it in production.
Yes. Use the block-by-block analysis and the downloadable JSON to inspect each node, then adjust credentials, prompts, schedules, filters, or destinations for your AI Chatbot, Multimodal AI use case.