Alexandru Florea This workflow corresponds to n8n.io template #11843 — we link there as the canonical source.
This workflow follows the Agent → Chat Trigger recipe pattern — see all workflows that pair these two integrations.
The workflow JSON
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{
"nodes": [
{
"id": "af51d7f3-7c8d-4a59-b2ba-93702b550edb",
"name": "When chat message received",
"type": "@n8n/n8n-nodes-langchain.chatTrigger",
"position": [
0,
0
],
"parameters": {
"mode": "webhook",
"public": true,
"options": {
"responseMode": "streaming",
"loadPreviousSession": "memory"
}
},
"typeVersion": 1.3
},
{
"id": "40f5f9d8-34fd-412a-901b-2cead6ff5509",
"name": "Simple Memory",
"type": "@n8n/n8n-nodes-langchain.memoryBufferWindow",
"position": [
32,
240
],
"parameters": {},
"typeVersion": 1.3
},
{
"id": "ad77efae-206f-4d22-82e7-5cdbdd896eaa",
"name": "Google Gemini Chat Model",
"type": "@n8n/n8n-nodes-langchain.lmChatGoogleGemini",
"position": [
352,
240
],
"parameters": {
"options": {}
},
"typeVersion": 1
},
{
"id": "18c36cb6-2050-4df4-85cb-3dcd4a6e5a5b",
"name": "Call 'Gemini CLI'",
"type": "@n8n/n8n-nodes-langchain.toolWorkflow",
"position": [
592,
256
],
"parameters": {
"workflowId": {
"__rl": true,
"mode": "list",
"value": "wyxh9ceGDzJvNCLT",
"cachedResultUrl": "/workflow/wyxh9ceGDzJvNCLT",
"cachedResultName": "Gemini CLI"
},
"description": "CLI tool",
"workflowInputs": {
"value": {
"prompt": "={{ $json.chatInput }}"
},
"schema": [
{
"id": "prompt",
"type": "string",
"display": true,
"removed": false,
"required": false,
"displayName": "prompt",
"defaultMatch": false,
"canBeUsedToMatch": true
}
],
"mappingMode": "defineBelow",
"matchingColumns": [
"prompt"
],
"attemptToConvertTypes": false,
"convertFieldsToString": false
}
},
"typeVersion": 2.2
},
{
"id": "6c831fec-f997-4056-b463-cdda84998203",
"name": "AI Agent",
"type": "@n8n/n8n-nodes-langchain.agent",
"position": [
384,
0
],
"parameters": {
"text": "={{ $json.chatInput }}",
"options": {
"systemMessage": "Every time you MUST use the CLI tool before you provide final answer! "
},
"promptType": "define"
},
"typeVersion": 2.2
},
{
"id": "8e3ef621-a4d6-4c9e-9885-01edc893add9",
"name": "No Operation, do nothing",
"type": "n8n-nodes-base.noOp",
"position": [
736,
0
],
"parameters": {},
"typeVersion": 1
},
{
"id": "2c25e4b0-c8b9-456d-b879-84c8bb5e8270",
"name": "Sticky Note",
"type": "n8n-nodes-base.stickyNote",
"position": [
-1536,
-224
],
"parameters": {
"width": 1360,
"height": 672,
"content": "## Connect Gemini CLI with your n8n workflow\n\nThis concept demonstrates how to use the Gemini CLI as a tool within n8n. It integrates a simple AI Chat interface with a backend CLI tool running on your server.\n\n**NOTE:** This allows you to leverage the power of Gemini (via your Google Account) directly from your terminal. This is ideal for self-hosted setups where you might want the LLM to have access to internal folders or files via the command line.\n\n### Pre-requirements\n1. **n8n Self-hosted**\n2. **NodeJS >= 20.x** installed on the host.\n3. **Gemini CLI** installed (`npm install -g @google/gemini-cli`)\n4. **SSH Access**: n8n needs SSH access to the host machine to execute the commands.\n\n### Configuration Instructions\n**Step 1: Separate the Workflows**\nThis template contains TWO parts. You must move the bottom part (Sub-workflow) to a new workflow file and save it.\n\n**Step 2: Link the Tool**\nIn the \"Call 'Gemini CLI'\" node above, select the new workflow you just saved.\n\n**Step 3: Setup SSH**\nUpdate the \"Execute a command\" node with your host credentials.\n\n\n---\n### Support & Customization\nIf you have questions, need help setting this up, or want to request more information:\n* **Contact:** Alex\n* **Email:** alex@elitiv.com\n* **Website:** [www.elitiv.com](https://www.elitiv.com)"
},
"typeVersion": 1
},
{
"id": "ba8b7e85-5d25-4640-8bb6-7329ce3c6f5b",
"name": "Execute a command",
"type": "n8n-nodes-base.ssh",
"position": [
320,
-528
],
"parameters": {
"command": "=gemini \"{{ $json.prompt }}\""
},
"typeVersion": 1
},
{
"id": "0184cb0f-93f8-4b4f-8ea4-c829fa6e5f32",
"name": "When Executed by Another Workflow",
"type": "n8n-nodes-base.executeWorkflowTrigger",
"position": [
112,
-528
],
"parameters": {
"workflowInputs": {
"values": [
{
"name": "prompt"
}
]
}
},
"typeVersion": 1.1
},
{
"id": "6e4c5103-e1c1-4e4e-84d6-66a1394ac34a",
"name": "Edit Fields",
"type": "n8n-nodes-base.set",
"position": [
528,
-528
],
"parameters": {
"options": {},
"assignments": {
"assignments": [
{
"id": "ff065868-795e-4e55-83f7-d580e25a147b",
"name": "answer",
"type": "string",
"value": "={{ $json.stdout }}"
}
]
}
},
"typeVersion": 3.4
},
{
"id": "375aba18-1eda-44dd-94e1-a42bbf6bc1fb",
"name": "Sticky Note1",
"type": "n8n-nodes-base.stickyNote",
"position": [
0,
-752
],
"parameters": {
"color": 4,
"width": 752,
"height": 416,
"content": "## Sub-workflow (ACTION REQUIRED: Move to separate workflow)\n\n**NOTE** You must copy these nodes, save them as a new workflow, and then select that new workflow in the \"Call Gemini CLI\" node above.\n\n* This will execute: gemini \"{{ $json.prompt }}\" in the terminal via SSH\n* Returns the LLM response message"
},
"typeVersion": 1
},
{
"id": "ed45a15f-c09c-47d5-a31e-ce17ff51324a",
"name": "Sticky Note2",
"type": "n8n-nodes-base.stickyNote",
"position": [
272,
-224
],
"parameters": {
"color": 6,
"width": 752,
"height": 672,
"content": "## AI Agent Configuration\n\n**NOTE:** This agent is configured to use the Gemini CLI (via the sub-workflow) as a custom tool.\n\n* **System Prompt:** Customize the prompt to define the agent's persona. Ensure you explicitly instruct the agent on when it should use the \"Gemini CLI\" tool to process data or answer questions.\n* **Extensibility:** You can easily attach additional tools here (e.g., Google Search, Wikipedia) to enhance the agent's capabilities further."
},
"typeVersion": 1
},
{
"id": "c60bc8ee-0cf1-42a6-99aa-e6cfa7bd0bed",
"name": "Sticky Note3",
"type": "n8n-nodes-base.stickyNote",
"position": [
-96,
-224
],
"parameters": {
"color": 5,
"width": 336,
"height": 672,
"content": "## Chat Interface Trigger\n\n* **Customizable:** This trigger initiates the chat conversation and can be customized to fit your specific use case.\n* **Embeddable:** You can use this workflow as a backend for n8n's Chat UI, embedding it into any website or application."
},
"typeVersion": 1
}
],
"connections": {
"AI Agent": {
"main": [
[
{
"node": "No Operation, do nothing",
"type": "main",
"index": 0
}
]
]
},
"Simple Memory": {
"ai_memory": [
[
{
"node": "When chat message received",
"type": "ai_memory",
"index": 0
}
]
]
},
"Call 'Gemini CLI'": {
"ai_tool": [
[
{
"node": "AI Agent",
"type": "ai_tool",
"index": 0
}
]
]
},
"Execute a command": {
"main": [
[
{
"node": "Edit Fields",
"type": "main",
"index": 0
}
]
]
},
"Google Gemini Chat Model": {
"ai_languageModel": [
[
{
"node": "AI Agent",
"type": "ai_languageModel",
"index": 0
}
]
]
},
"When chat message received": {
"main": [
[
{
"node": "AI Agent",
"type": "main",
"index": 0
}
]
]
},
"When Executed by Another Workflow": {
"main": [
[
{
"node": "Execute a command",
"type": "main",
"index": 0
}
]
]
}
}
}
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About this workflow
This workflow allows you to integrate the Google Gemini CLI into your n8n AI Agents. It is designed for self-hosted n8n instances and enables you to chat with the Gemini CLI running on your local machine or server via SSH.
Source: https://n8n.io/workflows/11843/ — original creator credit. Request a take-down →
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