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Open Deep Research - AI-Powered Autonomous Research Workflow

17 nodes · chat, chainLlm, lmChatOpenRouter, httpRequest, agent, splitInBatches

Engine
n8n
Nodes
17
Trigger
scheduled/triggered
Source file
1580_HTTP_Stickynote_Automate_Webhook.json

Workflow flow

IntegrationsChatChainLlmLmChatOpenRouterHTTPAgentSplitInBatchesMemoryBufferWindowToolWikipedia@n8n/n8n-nodes-langchain.chat@n8n/n8n-nodes-langchain.chainLlm@n8n/n8n-nodes-langchain.lmChatOpenRouterCode+3 more
100%
TRIGGER

Chat Message Trigger

@n8n/n8n-nodes-langchain.chat

LLM Response Provider (OpenRouter)

@n8n/n8n-nodes-langchain.lmChatOpenRouter

LLM Memory Buffer (Input Context)

@n8n/n8n-nodes-langchain.memoryBufferWindow

LLM Memory Buffer (Report Context)

@n8n/n8n-nodes-langchain.memoryBufferWindow

Fetch Wikipedia Information

@n8n/n8n-nodes-langchain.toolWikipedia

Generate Search Queries using LLM

@n8n/n8n-nodes-langchain.chainLlm

Parse and Chunk JSON Data

Code

Perform SerpAPI Search Request

HTTP

Perform Jina AI Analysis Request

HTTP

Format SerpAPI Organic Results

Code

Extract Relevant Context via LLM

@n8n/n8n-nodes-langchain.agent

Generate Comprehensive Research Report

@n8n/n8n-nodes-langchain.agent

Split Data for SerpAPI Batching

SplitInBatches

Split Data for Jina AI Batching

SplitInBatches

14 steps · flows top to bottom, branches left to right

Browse by integration

chatchainLlmlmChatOpenRouterhttpRequestagentsplitInBatchesmemoryBufferWindowtoolWikipedia
Browse all integrations →
Download n8n JSONDownload sanitized JSONDownload flow graph

Import into n8n

  1. Download the n8n JSON file (full or sanitized).
  2. In n8n: Workflows → Import from file.
  3. Open each node and reconnect credentials to your accounts.
  4. Test with manual execution before enabling triggers.

Sanitized JSON removes credential IDs — safer for sharing. Flow graph JSON is OpenRuna's lightweight format for diagrams and other tools, not n8n import.

View source corpus ↗

Overview

Free n8n workflow: Open Deep Research - AI-Powered Autonomous Research Workflow. 17 nodes across chat, chainLlm, lmChatOpenRouter, httpRequest, agent, splitInBatches, memoryBufferWindow, toolWikipedia, with a downloadable JSON and a visual flow diagram on OpenRuna.

What this workflow does

This n8n workflow, "Open Deep Research - AI-Powered Autonomous Research Workflow", wires together chat, chainLlm, lmChatOpenRouter, httpRequest, agent, splitInBatches, memoryBufferWindow, toolWikipedia in 17 nodes. 17 nodes · chat, chainLlm, lmChatOpenRouter, httpRequest, agent, splitInBatches Execution begins at the scheduled/triggered trigger and flows through the 17 configured nodes. On OpenRuna you get the visual graph, the integration list, and a downloadable JSON ready to import into n8n. Use it to learn integration patterns, fork it for your own use case, or deploy it quickly after reconnecting credentials.

Use cases

  • Fork it to add error handling, retries, or a notification step without designing the 17-node flow from scratch.
  • Benchmark it against your current chat integration to spot missing steps or redundant nodes.
  • Import "Open Deep Research - AI-Powered Autonomous Research Workflow" into n8n, reconnect credentials for chat, chainLlm, lmChatOpenRouter, httpRequest, agent, splitInBatches, memoryBufferWindow, toolWikipedia, and run the same automation in your own workspace.
  • Use it as a starting template when wiring chat, chainLlm, lmChatOpenRouter, httpRequest, agent, splitInBatches, memoryBufferWindow, toolWikipedia — adjust node parameters to your accounts and record IDs.

Example output

Imported into n8n, "Open Deep Research - AI-Powered Autonomous Research Workflow" exposes 17 configured nodes. Trigger type: scheduled/triggered. Integrations: chat, chainLlm, lmChatOpenRouter, httpRequest, agent, splitInBatches, memoryBufferWindow, toolWikipedia. Open each node after import to map credentials to your own chat and chainLlm accounts. Run it once in test mode to verify any branch logic (Switch/IF nodes) before enabling production triggers.

Tips by platform

Claude

Ask Claude to turn the "Open Deep Research - AI-Powered Autonomous Research Workflow" JSON into a plain-English runbook, node by node. It can flag where chat rate limits or missing retries might bite before you go live.

ChatGPT

Drop the workflow JSON or this OpenRuna page URL into ChatGPT and ask for a step-by-step runbook: triggers, branches, and which fields to customise for chat, chainLlm, lmChatOpenRouter, httpRequest, agent, splitInBatches, memoryBufferWindow, toolWikipedia. Handy for onboarding teammates new to n8n.

Cursor

In Cursor, ask Agent mode to parameterise "Open Deep Research - AI-Powered Autonomous Research Workflow" — extract chat IDs and secrets into environment variables without changing the 17-node structure.

Frequently asked questions

How do I import "Open Deep Research - AI-Powered Autonomous Research Workflow" into n8n?
Click Download n8n JSON on this page, then in n8n choose Workflows → Import from file and select the downloaded file. Reconnect credentials on each node — the export carries credential IDs from the original author's instance, not working secrets.
Which integrations does "Open Deep Research - AI-Powered Autonomous Research Workflow" use?
It uses: chat, chainLlm, lmChatOpenRouter, httpRequest, agent, splitInBatches, memoryBufferWindow, toolWikipedia. The flow diagram above shows how each service connects across the 17 nodes. Filter OpenRuna by integration to find related workflows and tools.
Can I import a sanitized export without credentials?
Yes. Use "Download sanitized JSON" to strip credential references before sharing internally. You will still add your own chat and chainLlm credentials in n8n after import.
What trigger type does "Open Deep Research - AI-Powered Autonomous Research Workflow" use?
Trigger type: scheduled/triggered. After import, confirm the trigger node (webhook, schedule, or app event) matches your environment, then activate the workflow when you are ready to run it.
Is "Open Deep Research - AI-Powered Autonomous Research Workflow" free to use?
OpenRuna catalogs community n8n workflows under open licenses. Check the source corpus link for the original license; commercial use may require verifying the third-party API terms for chat, chainLlm, lmChatOpenRouter, httpRequest, agent, splitInBatches, memoryBufferWindow, toolWikipedia.

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