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AI & researchAgentChain LLMChat TriggerCodeHTTP Request

Open Deep Research - AI-Powered Autonomous Research Workflow

Configured with Agent, Chain LLM, Chat Trigger, HTTP Request, and additional nodes. Review the connections and setup before adapting this template.

Workflow preview
TriggerChat Message TriggerChat TriggerAI & modelsGenerate Search Queriesusing LLMChain LLMAI & modelsLLM Response Provider(OpenRouter)LM Chat Open RouterCodeParse and Chunk JSONDataCodeWeb / APIPerform SerpAPI SearchRequestHTTP RequestWeb / APIPerform Jina AIAnalysis RequestHTTP RequestCodeFormat SerpAPI OrganicResultsCodeAI & modelsExtract RelevantContext via LLMAgentAI & modelsGenerate ComprehensiveResearch ReportAgentRoutingSplit Data for SerpAPIBatchingLoop Over ItemsRoutingSplit Data for Jina AIBatchingLoop Over ItemsData storeLLM Memory Buffer(Input Context)Memory Buffer WindowData storeLLM Memory Buffer(Report Context)Memory Buffer WindowIntegrationFetch WikipediaInformationTool Wikipedia

Node categories in this workflow

  • Trigger
  • AI & models
  • Code
  • Web / API
  • Routing
  • Data store
  • Integration

Icons describe general node roles, inferred from node types. Inspect the parameters for the configured action.

Drag to pan; use + and − to zoom. Reconstructed from the exported node positions; nothing runs here. Dashed lines represent non-main connections. Full node names and notes appear below.

How it works

The exported workflow contains the following configured nodes. Their connections are shown above; inspect the JSON for the complete logic, expressions, and external actions.

Workflow node names, types, and operations
NodeCategoryTypeOperation
Chat Message TriggerTriggerChat TriggerSee node parameters
Generate Search Queries using LLMAI & modelsChain LLMSee node parameters
LLM Response Provider (OpenRouter)AI & modelsLM Chat Open RouterSee node parameters
Parse and Chunk JSON DataCodeCodeSee node parameters
Perform SerpAPI Search RequestWeb / APIHTTP RequestSee node parameters
Perform Jina AI Analysis RequestWeb / APIHTTP RequestSee node parameters
Format SerpAPI Organic ResultsCodeCodeSee node parameters
Extract Relevant Context via LLMAI & modelsAgentSee node parameters
Generate Comprehensive Research ReportAI & modelsAgentSee node parameters
Split Data for SerpAPI BatchingRoutingLoop Over ItemsSee node parameters
Split Data for Jina AI BatchingRoutingLoop Over ItemsSee node parameters
LLM Memory Buffer (Input Context)Data storeMemory Buffer WindowSee node parameters
LLM Memory Buffer (Report Context)Data storeMemory Buffer WindowSee node parameters
Fetch Wikipedia InformationIntegrationTool WikipediaSee node parameters

Setup

  1. Download the JSON and import it into an isolated n8n instance. Leave the workflow inactive.
  2. Connect your own credentials through n8n’s credential store. Replace REPLACE_WITH_* values with your resource identifiers.
  3. Inspect API destinations, Code nodes, database queries, file paths, and outbound actions.
  4. Run with synthetic data and harmless destinations. Enable triggers only after checking the actual outputs.

Requirements

An n8n instance with the listed node types and compatible versions. Service-connected workflows may require accounts, credentials, or paid APIs.

Credential types declared in the source

  • httpHeaderAuth
  • openRouterApi

Workflow notes

SerpAPI Setup Instructions

SerpAPI Setup Instructions

  1. Obtain your API key from https://serpapi.com/manage-api-key.
  2. Save your API key securely in n8n credentials (do not use plain text).
Jina AI Setup Instructions

Jina AI Setup Instructions

  1. Obtain your API key from https://jina.ai/api-dashboard/key-manager.
  2. Configure your Jina AI credential in n8n to ensure secure API access.
OpenRouter API Setup Instructions

OpenRouter API Setup Instructions

  1. Obtain your API key from https://openrouter.ai/settings/keys.
  2. Set up your OpenRouter credential in n8n for secure integration.
Open Deep Research - AI-Powered Autonomous Research Workflow

Open Deep Research - AI-Powered Autonomous Research Workflow

Purpose and structure

This folder contains the Open Deep Research - AI-Powered Autonomous Research Workflow workflow. Its executable nodes use agent, chainLlm, chatTrigger, code, httpRequest, lmChatOpenRouter, memoryBufferWindow, splitInBatches, toolWikipedia. The table and connection map below are derived from the JSON, not an inferred guarantee of behavior.

Setup

Import inactive. Configure your own credentials and replace REPLACE_WITH_* values. Review external destinations and Code nodes before running.

Entry points

Chat Message Trigger

Verification

Sanitized source candidate; not runtime-tested. This overview is generated from node metadata. Read the folder README for the connection map, credential types, and license.

Attribution

https://github.com/Zie619/n8n-workflows/blob/94007c1445d9258a7da116646b79473e7c7c3282/workflows/Http/1747_HTTP_Stickynote_Automate_Webhook.json MIT; preserve source notices.

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