Open Deep Research - AI-Powered Autonomous Research Workflow

Automated workflow: Open Deep Research - AI-Powered Autonomous Research Workflow. This workflow integrates 11 different services: stickyNote, httpRequest, code, agent, chainLlm. It contains 21 nodes and follows best practices for error handling and security.

Integrations Used (1)

Workflow Structure (15 nodes)
100%
No Op
Chat Message Trigger
No Op
Generate Search Queries using LLM
Code
Parse and Chunk JSON Data
Split In Batches
Split Data for SerpAPI Batching
Http Request
Perform SerpAPI Search Request
Code
Format SerpAPI Organic Results
Split In Batches
Split Data for Jina AI Batching
Http Request
Perform Jina AI Analysis Request
Manual Trigger
Manual Trigger
No Op
LLM Response Provider (OpenRouter)
No Op
Extract Relevant Context via LLM
No Op
LLM Memory Buffer (Input Context)
No Op
Generate Comprehensive Research Report
No Op
LLM Memory Buffer (Report Context)
No Op
Fetch Wikipedia Information
Node Types:
trigger
default
code
http
logic
Requires credentials

Prerequisites

Required Credentials (2)

HTTP Header Auth

Used by: Perform Jina AI Analysis Request

Docs

Open Router

Used by: LLM Response Provider (OpenRouter)

Docs

Complexity

Advanced

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

Setup time: ~45 min
Score: 63/100
Custom Code
Loops

When to Use This Workflow

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.

Time Savings

Replace repetitive manual tasks with reliable automation.

Reclaim hours every week for higher-value work.

Error Reduction

Eliminate human error from routine processes with consistent automation.

Improve accuracy and reliability across your workflows.

workflow.json
{
  "id": "WLSqXECfQF7rOj2A",
  "meta": {
    "instanceId": "workflow-ea3fb71a",
    "versionId": "1.0.0",
    "createdAt": "2025-09-29T07:07:46.839145",
    "updatedAt": "2025-09-29T07:07:46.839183",
    "owner": "n8n-user",
    "license": "MIT",
    "category": "automation",
    "status": "active",
    "priority": "high",
    "environment": "production"
  },
  "name": "Open Deep Research - AI-Powered Autonomous Research Workflow",
  "tags": [
    "automation",
    "n8n",
    "production-ready",
    "excellent",
...

Workflow Details

Nodes
18
Trigger
Manual
Source
community
Added
Sep 29, 2025

Need Help?

Check out the official n8n documentation for detailed guides.

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