(5/5)

Memorybufferwindow Workflow

Automated workflow: Memorybufferwindow Workflow. This workflow integrates 18 different services: webhook, telegramTrigger, httpRequest, stickyNote, telegram. It contains 50 nodes and follows best practices for error handling and security.

Integrations Used (7)

Workflow Structure (24 nodes)

100%

Telegram Trigger

Switch

Download File

Webhook

Set

Set Text

No Op

Transcribe

Set

Set Text1

No Op

OpenAI Chat Model

No Op

AI Agent

No Op

Window Buffer Memory

No Op

Get Chart

Airtable Tool

Save Ticker

Send Analysis

Execute Workflow Trigger

Workflow Input Trigger

Schedule Trigger

Set

Set Values

Airtable

Get tokens

Split In Batches

Loop Over Items

Http Request

Get Chart URL

Http Request

Run Agent

Http Request

Download Chart

No Op

Technical Analysis

Send Chart

Set

response

Node Types:

default

trigger

action

transform

http

logic

Requires credentials

Prerequisites

Required Credentials (4)

Airtable Token

Used by: Save Ticker, Get tokens

Docs

HTTP Header Auth

Used by: Get Chart URL

Docs

OpenAI

Used by: OpenAI Chat Model, Transcribe +1 more

Docs

Used by: Telegram Trigger, Send Analysis +2 more

Docs

Multiple services required

This workflow needs 4 different credentials. Make sure you have accounts for all services before importing.

Complexity

Advanced

Expert level. Custom code, complex logic, many integrations.

Setup time: ~55 min

Score: 80/100

Conditional Logic

Loops

9 Integrations

When to Use This Workflow

Automated Reporting

Automatically collect and organize data into spreadsheets for analysis.

Spend less time on data entry and more time on insights.

Scheduled Operations

Run automated tasks at specific times - daily reports, weekly cleanups, monthly backups.

Set it and forget it - reliable automation that runs on your schedule.

Real-time Response

React instantly when events happen - new orders, form submissions, or API calls.

Zero delay between trigger and action for time-sensitive workflows.

workflow.json

{
  "meta": {
    "instanceId": "workflow-dba67c68",
    "versionId": "1.0.0",
    "createdAt": "2025-09-29T07:07:56.342809",
    "updatedAt": "2025-09-29T07:07:56.342822",
    "owner": "n8n-user",
    "license": "MIT",
    "category": "automation",
    "status": "active",
    "priority": "high",
    "environment": "production"
  },
  "nodes": [
    {
      "id": "1340d672-61c8-403e-89a7-f28e3afbc0e7",
      "name": "Window Buffer Memory",
      "type": "n8n-nodes-base.noOp",
      "position": [
        1760,
...