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0405_HTTP_Executeworkflow_Send_Webhook

18 nodes · chat, lmChatOpenAi, memoryBufferWindow, executeWorkflow, informationExtractor, httpRequest

Engine
n8n
Nodes
18
Trigger
scheduled/triggered
Source file
0405_HTTP_Executeworkflow_Send_Webhook.json

Workflow flow

IntegrationsChatLmChatOpenAiMemoryBufferWindowExecuteWorkflowInformationExtractorHTTPToolWorkflowAggregateAgent@n8n/n8n-nodes-langchain.chat@n8n/n8n-nodes-langchain.lmChatOpenAi@n8n/n8n-nodes-langchain.memoryBufferWindow+4 more
100%
TRIGGER

When chat message received

@n8n/n8n-nodes-langchain.chat

OpenAI Chat Model

@n8n/n8n-nodes-langchain.lmChatOpenAi

Simple Memory

@n8n/n8n-nodes-langchain.memoryBufferWindow

TRIGGER

When Executed by Another Workflow

ExecuteWorkflow

OpenAI Chat Model1

@n8n/n8n-nodes-langchain.lmChatOpenAi

Activity Tool

@n8n/n8n-nodes-langchain.toolWorkflow

Work out activity type and number of people1

@n8n/n8n-nodes-langchain.informationExtractor

AI Agent

@n8n/n8n-nodes-langchain.agent

Call the API

HTTP

Combine

Aggregate

Set 'response' value

Set

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

Browse by integration

chatlmChatOpenAimemoryBufferWindowexecuteWorkflowinformationExtractorhttpRequesttoolWorkflowaggregateagent
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: 0405_HTTP_Executeworkflow_Send_Webhook. 18 nodes across chat, lmChatOpenAi, memoryBufferWindow, executeWorkflow, informationExtractor, httpRequest, toolWorkflow, aggregate, with a downloadable JSON and a visual flow diagram on OpenRuna.

What this workflow does

This n8n workflow, "0405_HTTP_Executeworkflow_Send_Webhook", wires together chat, lmChatOpenAi, memoryBufferWindow, executeWorkflow, informationExtractor, httpRequest, toolWorkflow, aggregate in 18 nodes. 18 nodes · chat, lmChatOpenAi, memoryBufferWindow, executeWorkflow, informationExtractor, httpRequest It starts from a scheduled/triggered trigger and routes data through every node in order. 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 18-node flow from scratch.
  • Benchmark it against your current chat integration to spot missing steps or redundant nodes.
  • Import "0405_HTTP_Executeworkflow_Send_Webhook" into n8n, reconnect credentials for chat, lmChatOpenAi, memoryBufferWindow, executeWorkflow, informationExtractor, httpRequest, toolWorkflow, aggregate, and run the same automation in your own workspace.
  • Use it as a starting template when wiring chat, lmChatOpenAi, memoryBufferWindow, executeWorkflow, informationExtractor, httpRequest, toolWorkflow, aggregate — adjust node parameters to your accounts and record IDs.

Example output

Imported into n8n, "0405_HTTP_Executeworkflow_Send_Webhook" exposes 18 configured nodes. Trigger type: scheduled/triggered. Integrations: chat, lmChatOpenAi, memoryBufferWindow, executeWorkflow, informationExtractor, httpRequest, toolWorkflow, aggregate. Reconnect the chat credential first, then walk the remaining nodes top to bottom. 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 "0405_HTTP_Executeworkflow_Send_Webhook" 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, lmChatOpenAi, memoryBufferWindow, executeWorkflow, informationExtractor, httpRequest, toolWorkflow, aggregate. Handy for onboarding teammates new to n8n.

Cursor

In Cursor, ask Agent mode to parameterise "0405_HTTP_Executeworkflow_Send_Webhook" — extract chat IDs and secrets into environment variables without changing the 18-node structure.

Frequently asked questions

How do I import "0405_HTTP_Executeworkflow_Send_Webhook" 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 "0405_HTTP_Executeworkflow_Send_Webhook" use?
It uses: chat, lmChatOpenAi, memoryBufferWindow, executeWorkflow, informationExtractor, httpRequest, toolWorkflow, aggregate. The flow diagram above shows how each service connects across the 18 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 lmChatOpenAi credentials in n8n after import.
What trigger type does "0405_HTTP_Executeworkflow_Send_Webhook" 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 "0405_HTTP_Executeworkflow_Send_Webhook" 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, lmChatOpenAi, memoryBufferWindow, executeWorkflow, informationExtractor, httpRequest, toolWorkflow, aggregate.

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