This workflow follows the Agent → HTTP Request recipe pattern — see all workflows that pair these two integrations.
The workflow JSON
Copy or download the full n8n JSON below. Paste it into a new n8n workflow, add your credentials, activate. Full import guide →
{
"name": "General Research Agent",
"nodes": [
{
"parameters": {
"respondWith": "allIncomingItems",
"options": {
"responseHeaders": {
"entries": [
{
"name": "X-n8n-Signature",
"value": ""
}
]
}
}
},
"id": "b63a9a97-33e9-4768-861e-339cd0354272",
"name": "Respond to Webhook",
"type": "n8n-nodes-base.respondToWebhook",
"typeVersion": 1.1,
"position": [
1160,
40
]
},
{
"parameters": {
"assignments": {
"assignments": [
{
"id": "ee2bcd57-3b4c-43f9-b4b7-3a25687b9a68",
"name": "query",
"value": "={{ $json.body.query }}",
"type": "string"
},
{
"id": "63f23e51-af2b-47c4-a288-5abaf9b6c357",
"name": "user_id",
"value": "={{ $json.body.user_id }}",
"type": "string"
},
{
"id": "b97a3670-8a87-481b-8695-db44624be7d8",
"name": "request_id",
"value": "={{ $json.body.request_id }}",
"type": "string"
},
{
"id": "7d3fa06d-08f7-4517-b9c5-3c46ff476f55",
"name": "session_id",
"value": "={{ $json.body.session_id }}",
"type": "string"
}
]
},
"options": {}
},
"id": "270c1fee-9378-43fb-8dec-87f0ba2c8c1a",
"name": "Prep Input Fields",
"type": "n8n-nodes-base.set",
"typeVersion": 3.4,
"position": [
-3880,
320
]
},
{
"parameters": {
"assignments": {
"assignments": [
{
"id": "b5eaa2a2-a6bc-40ab-af5e-baa8a5dda1a7",
"name": "success",
"value": "=true",
"type": "boolean"
}
]
},
"options": {}
},
"id": "d5a9a050-1276-481c-bf82-222d7f016e77",
"name": "Prep Output Fields",
"type": "n8n-nodes-base.set",
"typeVersion": 3.4,
"position": [
820,
40
]
},
{
"parameters": {
"httpMethod": "POST",
"path": "invoke-general-research-agent",
"authentication": "headerAuth",
"responseMode": "responseNode",
"options": {}
},
"id": "45067f96-01dd-4dcc-a421-4e46fb9eab26",
"name": "Webhook",
"type": "n8n-nodes-base.webhook",
"typeVersion": 2,
"position": [
-4120,
320
],
"credentials": {
"httpHeaderAuth": {
"name": "<your credential>"
}
}
},
{
"parameters": {
"content": "# Research Agent\n\nAuthor: [Samuel Liu](https://www.youtube.com/@54mliu)\n\nThis is a n8n workflow that fetches the articles from Google, reads the articles, determines whether they are relevant to the user's query and then uses relevant articles to generates a brief report\n",
"height": 763.4375,
"width": 589.875,
"color": 6
},
"id": "3ef6d5c3-4b5e-45de-a32a-3928fe0b601e",
"name": "Sticky Note",
"type": "n8n-nodes-base.stickyNote",
"typeVersion": 1,
"position": [
-5060,
40
]
},
{
"parameters": {
"options": {
"maxTokens": 16384,
"temperature": 0.7
}
},
"type": "@n8n/n8n-nodes-langchain.lmChatOpenAi",
"typeVersion": 1.1,
"position": [
-880,
420
],
"id": "bdf2bad1-edc4-431a-b1f0-8bd30b360a7e",
"name": "OpenAI Chat Model",
"credentials": {
"openAiApi": {
"name": "<your credential>"
}
}
},
{
"parameters": {
"sessionIdType": "customKey",
"sessionKey": "={{$('Prep Input Fields').first().json.session_id}}",
"tableName": "messages",
"contextWindowLength": 10
},
"id": "abb5a2f2-1be3-43c5-a06d-3b1981c75d09",
"name": "Postgres Chat Memory",
"type": "@n8n/n8n-nodes-langchain.memoryPostgresChat",
"typeVersion": 1.3,
"position": [
440,
260
],
"credentials": {
"postgres": {
"name": "<your credential>"
}
}
},
{
"parameters": {
"options": {}
},
"type": "@n8n/n8n-nodes-langchain.lmChatOpenAi",
"typeVersion": 1.1,
"position": [
280,
260
],
"id": "0303502b-a07b-4e69-840d-cee6cce1b269",
"name": "OpenAI Chat Model1",
"credentials": {
"openAiApi": {
"name": "<your credential>"
}
}
},
{
"parameters": {
"aggregate": "aggregateAllItemData",
"destinationFieldName": "output",
"options": {}
},
"type": "n8n-nodes-base.aggregate",
"typeVersion": 1,
"position": [
0,
0
],
"id": "63936645-55a5-4e6f-8449-8f38d022324d",
"name": "Aggregate"
},
{
"parameters": {
"promptType": "define",
"text": "=Create a report from these provided summaries",
"options": {
"systemMessage": "=You are a helpful news reporter tasked with generating a report from search result summaries\n\nOnly use the provided title and summaries in your report and be sure to include links to the original article to read more: {{ $json.toJsonString() }}",
"returnIntermediateSteps": false
}
},
"type": "@n8n/n8n-nodes-langchain.agent",
"typeVersion": 1.7,
"position": [
320,
40
],
"id": "dd252820-1511-4598-bcfb-a39d3830f89b",
"name": "Report Agent"
},
{
"parameters": {
"promptType": "define",
"text": "=Summarize the HTML page content for each item separately: {{ $json.content }}",
"hasOutputParser": true,
"options": {
"systemMessage": "You are a helpful news reporter bot that reads articles and reports the title and a brief summary of the contents\n\n- Summaries can be no longer than 75 words\n- Ignore any lines that relate to browser incompatibility from web scraping\n"
}
},
"id": "13caba99-0867-4659-958c-71f4135c90cb",
"name": "Summarization Agent",
"type": "@n8n/n8n-nodes-langchain.agent",
"typeVersion": 1.7,
"position": [
-840,
180
],
"alwaysOutputData": false,
"onError": "continueErrorOutput"
},
{
"parameters": {
"fieldToSplitOut": "output.results",
"options": {
"destinationFieldName": "url"
}
},
"type": "n8n-nodes-base.splitOut",
"typeVersion": 1,
"position": [
-3240,
280
],
"id": "d1c9af0e-2c7c-4dda-84c0-f068ea9b979b",
"name": "Split Out2"
},
{
"parameters": {
"assignments": {
"assignments": [
{
"id": "cfe0c00d-bc28-4bb2-bd1f-7138903d5cb5",
"name": "url",
"value": "={{ $json.url }}",
"type": "string"
}
]
},
"options": {}
},
"type": "n8n-nodes-base.set",
"typeVersion": 3.4,
"position": [
-3020,
280
],
"id": "33c74e74-9c6f-4f70-b772-c7624a1d7950",
"name": "Edit Fields1"
},
{
"parameters": {
"jsonSchemaExample": "{\n\t\"title\": \"California\",\n\t\"summary\": \"Some content\",\n \"url\": \"https://www.google.com\"\n}"
},
"type": "@n8n/n8n-nodes-langchain.outputParserStructured",
"typeVersion": 1.2,
"position": [
-500,
420
],
"id": "0dd6acf6-7f0a-4d3d-9aea-6825780e614f",
"name": "Structured Output Parser1"
},
{
"parameters": {
"sessionIdType": "customKey",
"sessionKey": "={{$('Prep Input Fields').item.json.session_id}}"
},
"type": "@n8n/n8n-nodes-langchain.memoryBufferWindow",
"typeVersion": 1.3,
"position": [
-760,
560
],
"id": "a7aa0761-a5bb-4e08-a5ff-f78089a78590",
"name": "Window Buffer Memory"
},
{
"parameters": {
"url": "={{ $json.url }}",
"sendHeaders": true,
"headerParameters": {
"parameters": [
{
"name": "User-Agent",
"value": "Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/131.0.0.0 Safari/537.36"
},
{
"name": "Accept",
"value": "application/html"
}
]
},
"options": {}
},
"type": "n8n-nodes-base.httpRequest",
"typeVersion": 4.2,
"position": [
-1920,
260
],
"id": "8f3e3148-f7d6-43d2-8410-ed784149d71c",
"name": "HTTP Request2",
"onError": "continueRegularOutput"
},
{
"parameters": {
"toolDescription": "Get 5 search results by providing an input query",
"url": "https://api.search.brave.com/res/v1/web/search",
"sendQuery": true,
"parametersQuery": {
"values": [
{
"name": "q"
},
{
"name": "count",
"valueProvider": "fieldValue",
"value": "5"
},
{
"name": "country",
"valueProvider": "fieldValue",
"value": "us"
},
{
"name": "search_lang",
"valueProvider": "fieldValue",
"value": "en"
},
{
"name": "spellcheck",
"valueProvider": "fieldValue",
"value": "1"
}
]
},
"sendHeaders": true,
"parametersHeaders": {
"values": [
{
"name": "X-Subscription-Token",
"valueProvider": "fieldValue",
"value": "Your Brave API Key"
},
{
"name": "Accept",
"valueProvider": "fieldValue",
"value": "application/json"
}
]
}
},
"type": "@n8n/n8n-nodes-langchain.toolHttpRequest",
"typeVersion": 1.1,
"position": [
-3460,
620
],
"id": "0784e913-3c93-4939-ac05-f1c1b25b5f52",
"name": "Brave Search"
},
{
"parameters": {
"toolDescription": "Get recommended, optimized search queries",
"method": "POST",
"url": "https://openrouter.ai/api/v1/chat/completions",
"authentication": "genericCredentialType",
"genericAuthType": "httpHeaderAuth",
"sendBody": true,
"specifyBody": "json",
"jsonBody": "={\n \"model\": \"openai/gpt-4o-mini\",\n \"messages\": [\n {\n \"role\": \"user\",\n \"content\": \"Construct an effective Google search queries to find the most recent and relevant search results that support the input query: {{ $json.query }}. The query should be very concise and your response should not include any unnecessary words\"\n }\n ]\n }"
},
"type": "@n8n/n8n-nodes-langchain.toolHttpRequest",
"typeVersion": 1.1,
"position": [
-3600,
700
],
"id": "9cd2e872-7b10-4294-86bc-cbfa074d9907",
"name": "DeepSeek",
"credentials": {
"httpHeaderAuth": {
"name": "<your credential>"
}
}
},
{
"parameters": {
"options": {}
},
"type": "@n8n/n8n-nodes-langchain.lmChatOpenAi",
"typeVersion": 1.1,
"position": [
-3760,
560
],
"id": "1824e744-67de-4c3b-b07e-d76fae31ee46",
"name": "OpenAI Chat Model4",
"credentials": {
"openAiApi": {
"name": "<your credential>"
}
}
},
{
"parameters": {
"promptType": "define",
"text": "=You are a social media research specialist. Get the URLs for the most recent and relevant search results that support the input query: {{ $json.query }}\n\n- Be sure to collect from various sources\n- You must collect one source from a social media forum like Reddit or Twitter. If you do not have one, generate another search query and append it to your results\n- Determine efficient, optimized search queries to use in your searches\n- Do NOT conduct a search until you have found an optimized query\n- Respond as a json string with the list of URLs under the key \"results\"",
"hasOutputParser": true,
"options": {}
},
"type": "@n8n/n8n-nodes-langchain.agent",
"typeVersion": 1.7,
"position": [
-3640,
300
],
"id": "2d394124-ace6-4726-9837-ac0162028ba8",
"name": "Search Optimization Agent"
},
{
"parameters": {
"jsonSchemaExample": "{\n\t\"results\": [\"California\"]\n}"
},
"type": "@n8n/n8n-nodes-langchain.outputParserStructured",
"typeVersion": 1.2,
"position": [
-3300,
560
],
"id": "4d9447e3-a0ab-499a-a642-78691b1c94b6",
"name": "Structured Output Parser2"
},
{
"parameters": {
"assignments": {
"assignments": [
{
"id": "4f4a0410-fda8-4f27-895f-94d330801b7e",
"name": "title",
"value": "={{ $json.output.title }}",
"type": "string"
},
{
"id": "4cb91114-6015-4179-89c7-e7d8d6bb4a21",
"name": "summary",
"value": "={{ $json.output.summary }}",
"type": "string"
},
{
"id": "c19ab4fe-9fca-4b53-b8b0-a58d15331732",
"name": "url",
"value": "={{ $json.output.url }}",
"type": "string"
}
]
},
"options": {}
},
"type": "n8n-nodes-base.set",
"typeVersion": 3.4,
"position": [
-240,
140
],
"id": "4b8b26dc-aa58-42ba-91bc-821bec20cb94",
"name": "Edit Fields2"
},
{
"parameters": {
"conditions": {
"options": {
"caseSensitive": true,
"leftValue": "",
"typeValidation": "strict",
"version": 2
},
"conditions": [
{
"id": "42153fee-cf3c-4a81-aed2-0d87d74fd721",
"leftValue": "={{ $json.error }}",
"rightValue": "",
"operator": {
"type": "object",
"operation": "notExists",
"singleValue": true
}
}
],
"combinator": "and"
},
"options": {}
},
"type": "n8n-nodes-base.filter",
"typeVersion": 2.2,
"position": [
-1700,
260
],
"id": "2142b322-e776-48a3-97ce-978e2d10f54f",
"name": "Filter1"
},
{
"parameters": {
"operation": "extractHtmlContent",
"extractionValues": {
"values": [
{
"key": "content",
"cssSelector": "p",
"returnArray": true
}
]
},
"options": {}
},
"type": "n8n-nodes-base.html",
"typeVersion": 1.2,
"position": [
-1160,
260
],
"id": "71ee704e-05f9-446d-b359-a6aa8f77dd7b",
"name": "HTML"
}
],
"connections": {
"Prep Output Fields": {
"main": [
[
{
"node": "Respond to Webhook",
"type": "main",
"index": 0
}
]
]
},
"Prep Input Fields": {
"main": [
[
{
"node": "Search Optimization Agent",
"type": "main",
"index": 0
}
]
]
},
"Webhook": {
"main": [
[
{
"node": "Prep Input Fields",
"type": "main",
"index": 0
}
]
]
},
"OpenAI Chat Model": {
"ai_languageModel": [
[
{
"node": "Summarization Agent",
"type": "ai_languageModel",
"index": 0
}
]
]
},
"Postgres Chat Memory": {
"ai_memory": [
[
{
"node": "Report Agent",
"type": "ai_memory",
"index": 0
}
]
]
},
"OpenAI Chat Model1": {
"ai_languageModel": [
[
{
"node": "Report Agent",
"type": "ai_languageModel",
"index": 0
}
]
]
},
"Aggregate": {
"main": [
[
{
"node": "Report Agent",
"type": "main",
"index": 0
}
]
]
},
"Report Agent": {
"main": [
[
{
"node": "Prep Output Fields",
"type": "main",
"index": 0
}
]
]
},
"Summarization Agent": {
"main": [
[
{
"node": "Edit Fields2",
"type": "main",
"index": 0
}
]
]
},
"Split Out2": {
"main": [
[
{
"node": "Edit Fields1",
"type": "main",
"index": 0
}
]
]
},
"Edit Fields1": {
"main": [
[
{
"node": "HTTP Request2",
"type": "main",
"index": 0
}
]
]
},
"Structured Output Parser1": {
"ai_outputParser": [
[
{
"node": "Summarization Agent",
"type": "ai_outputParser",
"index": 0
}
]
]
},
"Window Buffer Memory": {
"ai_memory": [
[
{
"node": "Summarization Agent",
"type": "ai_memory",
"index": 0
}
]
]
},
"HTTP Request2": {
"main": [
[
{
"node": "Filter1",
"type": "main",
"index": 0
}
]
]
},
"Brave Search": {
"ai_tool": [
[
{
"node": "Search Optimization Agent",
"type": "ai_tool",
"index": 0
}
]
]
},
"DeepSeek": {
"ai_tool": [
[
{
"node": "Search Optimization Agent",
"type": "ai_tool",
"index": 0
}
]
]
},
"OpenAI Chat Model4": {
"ai_languageModel": [
[
{
"node": "Search Optimization Agent",
"type": "ai_languageModel",
"index": 0
}
]
]
},
"Search Optimization Agent": {
"main": [
[
{
"node": "Split Out2",
"type": "main",
"index": 0
}
]
]
},
"Structured Output Parser2": {
"ai_outputParser": [
[
{
"node": "Search Optimization Agent",
"type": "ai_outputParser",
"index": 0
}
]
]
},
"Edit Fields2": {
"main": [
[
{
"node": "Aggregate",
"type": "main",
"index": 0
}
]
]
},
"Filter1": {
"main": [
[
{
"node": "HTML",
"type": "main",
"index": 0
}
]
]
},
"HTML": {
"main": [
[
{
"node": "Summarization Agent",
"type": "main",
"index": 0
}
]
]
}
},
"active": true,
"settings": {
"executionOrder": "v1"
},
"versionId": "7d8ebd5a-7257-47a9-86f1-a03bb48ab5e2",
"meta": {
"templateCredsSetupCompleted": true
},
"id": "VvFfvErLSbZsVnFy",
"tags": [
{
"createdAt": "2024-12-10T13:21:06.912Z",
"updatedAt": "2024-12-10T13:21:06.912Z",
"id": "0tXJXfH2daB7QdK5",
"name": "studio-test"
}
]
}
Credentials you'll need
Each integration node will prompt for credentials when you import. We strip credential IDs before publishing — you'll add your own.
httpHeaderAuthopenAiApipostgres
Pro
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About this workflow
General Research Agent. Uses lmChatOpenAi, memoryPostgresChat, agent, outputParserStructured. Webhook trigger; 24 nodes.
Source: https://github.com/DPabloFlores/ottomator-agents/blob/main/general-researcher-agent/General_Research_Agent.json — original creator credit. Request a take-down →
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