# Open deep research - AI-powered autonomous research workflow: n8n workflow

> Started by someone opening a chat with it. It calls services over plain HTTP rather than through connectors.

Source: https://millionrounds.com/workflow/open-deep-research-ai-powered-autonomous-research-workflow (Millionrounds; every figure on the page links to its filing or article)

[Automation library](https://millionrounds.com/workflows) · [Research and reporting](https://millionrounds.com/workflows?category=Research+and+reporting#library)

# Open deep research - AI-powered autonomous research workflow

Started by someone opening a chat with it. It calls services over plain HTTP rather than through connectors. It puts OpenRouter behind a retrieval step, so answers are drawn from documents you supply rather than from the model alone. 14 steps, 2 loops or waits: a working afternoon to understand properly.

Medium Calls a model: OpenRouter Retrieval

[Download free](https://millionrounds.com/login?next=%2Fapp%2Fworkflow%2Fopen-deep-research-ai-powered-autonomous-research-workflow)

**14 steps** Medium: a working afternoon

**0** Branches: places the flow splits

**2** Loops or waits

**0** Services by connector: it calls them over plain HTTP

## The flow

Starts it 1 Model 7 Logic 4 Service 2

The steps in the order they run, from what starts it.

- 1 **Chat Message Trigger** Chat trigger *Starts it*
- 2 **LLM Response Provider (OpenRouter)** Lm Chat Open Router *Model*
- 3 **LLM Memory Buffer (Input Context)** Memory Buffer Window *Model*
- 4 **LLM Memory Buffer (Report Context)** Memory Buffer Window *Model*
- 5 **Fetch Wikipedia Information** Tool Wikipedia *Model*
- 6 **Generate Search Queries using LLM** Chain Llm *Model*
- 7 **Extract Relevant Context via LLM** Agent *Model*
- 8 **Generate Comprehensive Research Report** Agent *Model*
- 9 **Parse and Chunk JSON Data** Code *Logic*
- 10 **Split Data for SerpAPI Batching** Split In Batches *Logic*
- 11 **Format SerpAPI Organic Results** Code *Logic*
- 12 **Perform SerpAPI Search Request** Http Request *Service*
- 13 **Split Data for Jina AI Batching** Split In Batches *Logic*
- 14 **Perform Jina AI Analysis Request** Http Request *Service*

## How it's built

- **Starts on:** Someone opening a chat with it
- **Steps:** 14, 2 loops or waits
- **Size:** Medium: a working afternoon
- **Connects to:** Nothing by connector; it calls services over plain HTTP
- **Model:** OpenRouter
- **Retrieval:** Answers are drawn from documents you supply, not from the model alone

## Questions

What does it need to run?

An n8n account, and a key for OpenRouter. You connect your own accounts after importing it; none are included.

What starts it?

It starts on someone opening a chat with it.

Does it use AI?

Yes. It calls OpenRouter. Its answers draw on documents you give it, not on the model alone. Model calls are billed by the provider, not by n8n.

How long does it take to set up?

Plan an afternoon. 14 steps is enough that you should read each one before running it.

How do I import it?

Copy the workflow, open a new workflow in n8n and paste. The steps appear on the canvas, ready for your own accounts.

**Before you run it**

Nothing here has been tested by us. It is somebody's working automation, read and described from its own steps. Treat the connections it wants as a list of accounts it will touch, and read the 14 steps before you point it at anything that matters.

## Run it in n8n

- **Create your n8n account** Free to start. n8n is where the workflow runs. [Create an n8n account ↗](https://millionrounds.com/n8n)
- **Download the workflow** Free with a Millionrounds account. [Download free](https://millionrounds.com/login?next=%2Fapp%2Fworkflow%2Fopen-deep-research-ai-powered-autonomous-research-workflow)
- **Paste it into n8n** Open a new workflow in n8n and paste. Then connect your own accounts.

Stored with the author's traces removed: canvas notes, instance identifiers, saved credential names and any live document they had left behind.

## Workflows like it

Also research and reporting, with the same services where possible, closest in size first.

- [**AI crew to automate fundamental stock analysis - Q&A workflow** 14 steps · calls a model · Google Drive, Qdrant](https://millionrounds.com/workflow/ai-crew-to-automate-fundamental-stock-analysis-q-and-a-workf)
- [**AI email assistant: Prioritize Gmail with Slack** 14 steps · calls a model · Gmail, Google Sheets](https://millionrounds.com/workflow/ai-email-assistant-prioritize-gmail-with-slack)
- [**AI-powered research report generator with SerpAPI and Jina AI** 14 steps · calls a model](https://millionrounds.com/workflow/ai-powered-research-report-generator-with-serpapi-and-jina-a)
- [**AI-powered stock analysis with OpenAI and Google Docs** 14 steps · calls a model · Google Docs](https://millionrounds.com/workflow/ai-powered-stock-analysis-with-openai-and-google-docs)
- [**Analyze Reddit competitor sentiment with Bright Data** 14 steps · calls a model · Gmail, Google Sheets](https://millionrounds.com/workflow/analyze-reddit-competitor-sentiment-with-bright-data)
- [**Analyze daily stock news sentiment with Gemini** 14 steps · calls a model · Gmail, Google Sheets](https://millionrounds.com/workflow/analyze-daily-stock-news-sentiment-with-gemini)