Agent IA pour GitHub
Ceci est unInternal Wiki, AI RAGworkflow d'automatisation du domainecontenant 19 nœuds.Utilise principalement des nœuds comme Set, Github, HttpRequest, ManualTrigger, Agent. Utiliser OpenAI pour créer un assistant de code qui apprend à partir d'un dépôt GitHub
- •Personal Access Token GitHub
- •Peut nécessiter les informations d'identification d'authentification de l'API cible
- •Clé API OpenAI
Nœuds utilisés (19)
Catégorie
{
"id": "HJdHRULAa3bhcCMR",
"meta": {
"instanceId": "a0e41110bf9f611e96e18e0663d80d746aeedc58368940bfe471a8d577a5069b",
"templateCredsSetupCompleted": true
},
"name": "AI Agent For Github",
"tags": [],
"nodes": [
{
"id": "21ce2f08-255b-49e7-8a28-c7755593e574",
"name": "Chargeur de données par défaut",
"type": "@n8n/n8n-nodes-langchain.documentDefaultDataLoader",
"position": [
1152,
208
],
"parameters": {
"options": {},
"dataType": "binary"
},
"typeVersion": 1
},
{
"id": "af656ce7-169b-4c91-a770-8c488f68911a",
"name": "Séparateur de texte récursif par caractères",
"type": "@n8n/n8n-nodes-langchain.textSplitterRecursiveCharacterTextSplitter",
"position": [
1232,
416
],
"parameters": {
"options": {},
"chunkOverlap": 100
},
"typeVersion": 1
},
{
"id": "6493e13d-3e1e-42c0-abef-290a2a236868",
"name": "Agent IA",
"type": "@n8n/n8n-nodes-langchain.agent",
"position": [
400,
736
],
"parameters": {
"options": {
"systemMessage": "You are a helpful technical assistant designed to answer developer questions based on the project’s source code and technical documentation. \n\nWhen a developer asks a question, use the tool `project_source_tool` to retrieve relevant information from the available codebase and documentation."
}
},
"typeVersion": 1.7
},
{
"id": "2f05cc89-7dcf-40bc-a5c2-fd2c5c7cc57c",
"name": "Outil de stockage vectoriel",
"type": "@n8n/n8n-nodes-langchain.toolVectorStore",
"position": [
608,
960
],
"parameters": {
"name": "project_source_tool",
"topK": "=5",
"description": "Retrieve information from any source code"
},
"typeVersion": 1
},
{
"id": "0edbd03e-e2fa-41b2-9fdb-c935dd44148d",
"name": "Mémoire tampon fenêtrée",
"type": "@n8n/n8n-nodes-langchain.memoryBufferWindow",
"position": [
480,
960
],
"parameters": {},
"typeVersion": 1.3
},
{
"id": "38b9511b-c5bf-47be-abe1-3d6b156e2b50",
"name": "À la réception d'un message de chat",
"type": "@n8n/n8n-nodes-langchain.chatTrigger",
"position": [
128,
736
],
"webhookId": "5f1c0c82-0ff9-40c7-9e2e-b1a96ffe24cd",
"parameters": {
"options": {}
},
"typeVersion": 1.1
},
{
"id": "eda1081e-97b8-441e-b726-ea6a0dec9141",
"name": "Note adhésive1",
"type": "n8n-nodes-base.stickyNote",
"position": [
-528,
112
],
"parameters": {
"width": 340,
"height": 560,
"content": "## Setup Guilde\n\n### 1. Update the `Config` Node\nAdd or edit the following parameters:\n- `repo_owner`\n- `repo_name`\n- `repo_path`\n- `sub_path`\n\n### 2. Add GitHub Account\nConnect your GitHub account to enable repository access.\n\n### 3. Trigger “Sync Data”\nRun the workflow or trigger the node to start syncing data from GitHub to your vectorstore.\n"
},
"typeVersion": 1
},
{
"id": "073d715d-1432-40b8-ba62-63b586ff3900",
"name": "Configuration",
"type": "n8n-nodes-base.set",
"position": [
352,
-16
],
"parameters": {
"options": {},
"assignments": {
"assignments": [
{
"id": "03f51f9c-4681-4423-91d2-d32f4c18d6bc",
"name": "repo_owner",
"type": "string",
"value": "cphuong20202009"
},
{
"id": "0c9b521a-b698-4b43-9eb0-bbf744760158",
"name": "repo_name",
"type": "string",
"value": "share-n8n-workflow"
},
{
"id": "91627e70-a71a-4be0-a6f6-b04d5c8469d8",
"name": "repo_path",
"type": "string",
"value": "share-n8n-workflow"
},
{
"id": "983a2c87-9d69-4d64-ab88-ec1b1117c6e6",
"name": "sub_path",
"type": "string",
"value": "workflows"
}
]
},
"includeOtherFields": true
},
"typeVersion": 3.4
},
{
"id": "24767c37-190a-4039-84c3-23207299eecc",
"name": "Lister les fichiers",
"type": "n8n-nodes-base.github",
"position": [
576,
-16
],
"webhookId": "1ff4096c-91c9-4500-9fda-2d3ef1586d2f",
"parameters": {
"owner": {
"__rl": true,
"mode": "name",
"value": "={{ $json.repo_owner }}"
},
"filePath": "={{ $json.sub_path }}",
"resource": "file",
"operation": "list",
"repository": {
"__rl": true,
"mode": "name",
"value": "={{ $json.repo_name }}"
}
},
"credentials": {
"githubApi": {
"id": "tk70N65ddQrYqN4t",
"name": "GitHub account 3"
}
},
"typeVersion": 1.1
},
{
"id": "97c7184a-685b-4940-b3af-6de8bbf9c7dd",
"name": "Obtenir le fichier",
"type": "n8n-nodes-base.httpRequest",
"position": [
800,
-16
],
"parameters": {
"url": "={{ $json.download_url }}",
"options": {}
},
"typeVersion": 4.2
},
{
"id": "c98cb6aa-e460-4c97-ba1d-d9fd9da561d3",
"name": "Embeddings OpenAI",
"type": "@n8n/n8n-nodes-langchain.embeddingsOpenAi",
"position": [
1024,
208
],
"parameters": {
"options": {}
},
"credentials": {
"openAiApi": {
"id": "2TBvwobWbbHlIjKT",
"name": "OpenAi account"
}
},
"typeVersion": 1.2
},
{
"id": "e6eba4d9-4770-46e7-af58-233763b12bcc",
"name": "Embeddings OpenAI1",
"type": "@n8n/n8n-nodes-langchain.embeddingsOpenAi",
"position": [
576,
1376
],
"parameters": {
"options": {}
},
"credentials": {
"openAiApi": {
"id": "2TBvwobWbbHlIjKT",
"name": "OpenAi account"
}
},
"typeVersion": 1.2
},
{
"id": "06cc6964-01bc-496f-895f-c3277c3cb10e",
"name": "OpenAI Chat Model",
"type": "@n8n/n8n-nodes-langchain.lmChatOpenAi",
"position": [
784,
1168
],
"parameters": {
"model": {
"__rl": true,
"mode": "list",
"value": "gpt-4.1-mini"
},
"options": {}
},
"credentials": {
"openAiApi": {
"id": "2TBvwobWbbHlIjKT",
"name": "OpenAi account"
}
},
"typeVersion": 1.2
},
{
"id": "e4d2d5e8-318d-4a63-9777-76225842fd88",
"name": "OpenAI Chat Model1",
"type": "@n8n/n8n-nodes-langchain.lmChatOpenAi",
"position": [
352,
960
],
"parameters": {
"model": {
"__rl": true,
"mode": "list",
"value": "gpt-4.1-mini"
},
"options": {}
},
"credentials": {
"openAiApi": {
"id": "2TBvwobWbbHlIjKT",
"name": "OpenAi account"
}
},
"typeVersion": 1.2
},
{
"id": "b5c0e689-aaa1-4d69-993e-7bb6b04937db",
"name": "Stockage vectoriel simple",
"type": "@n8n/n8n-nodes-langchain.vectorStoreInMemory",
"position": [
496,
1168
],
"parameters": {
"memoryKey": {
"__rl": true,
"mode": "list",
"value": "source-code",
"cachedResultName": "source-code"
}
},
"typeVersion": 1.3
},
{
"id": "a41eac9f-9556-48dd-abf3-511a2b430c67",
"name": "Stockage vectoriel simple1",
"type": "@n8n/n8n-nodes-langchain.vectorStoreInMemory",
"position": [
1056,
-16
],
"parameters": {
"mode": "insert",
"memoryKey": {
"__rl": true,
"mode": "list",
"value": "source-code"
}
},
"typeVersion": 1.3
},
{
"id": "fb9ecc78-60b5-4eb0-912b-654bf3dbc5ca",
"name": "Note adhésive",
"type": "n8n-nodes-base.stickyNote",
"position": [
128,
-128
],
"parameters": {
"width": 384,
"height": 80,
"content": "Pull your source files and update the knowledge base (vectorstore) for the AI Agent"
},
"typeVersion": 1
},
{
"id": "ccea3fc1-94e3-4582-bfb5-ef4cc2546a61",
"name": "Note adhésive2",
"type": "n8n-nodes-base.stickyNote",
"position": [
128,
640
],
"parameters": {
"width": 560,
"height": 80,
"content": "Ask questions to the AI Agent — it will respond using your repository knowledge."
},
"typeVersion": 1
},
{
"id": "c14b04e5-7f2c-42c3-ac89-f5a256ee2ead",
"name": "Synchroniser les données",
"type": "n8n-nodes-base.manualTrigger",
"position": [
128,
-16
],
"parameters": {},
"typeVersion": 1
}
],
"active": false,
"pinData": {},
"settings": {
"executionOrder": "v1"
},
"versionId": "6a88fedb-ad7d-4258-ac59-afb17408e6c4",
"connections": {
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"c98cb6aa-e460-4c97-ba1d-d9fd9da561d3": {
"ai_embedding": [
[
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"type": "ai_embedding",
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},
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"ai_languageModel": [
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"type": "ai_languageModel",
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]
]
},
"2f05cc89-7dcf-40bc-a5c2-fd2c5c7cc57c": {
"ai_tool": [
[
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"type": "ai_tool",
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},
"e6eba4d9-4770-46e7-af58-233763b12bcc": {
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},
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"ai_document": [
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"type": "ai_document",
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"ai_vectorStore": [
[
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"type": "ai_vectorStore",
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]
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},
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"ai_memory": [
[
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]
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},
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},
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"ai_textSplitter": [
[
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"type": "ai_textSplitter",
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}
}
}Comment utiliser ce workflow ?
Copiez le code de configuration JSON ci-dessus, créez un nouveau workflow dans votre instance n8n et sélectionnez "Importer depuis le JSON", collez la configuration et modifiez les paramètres d'authentification selon vos besoins.
Dans quelles scénarios ce workflow est-il adapté ?
Avancé - Wiki interne, RAG IA
Est-ce payant ?
Ce workflow est entièrement gratuit et peut être utilisé directement. Veuillez noter que les services tiers utilisés dans le workflow (comme l'API OpenAI) peuvent nécessiter un paiement de votre part.
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Nghia Nguyen
@nghiaaidevI am Nguyen Trung Nghia, a Software Engineer passionate about AI Automation. I build intelligent automation systems that help businesses reduce costs, increase productivity, and scale faster with the power of AI technology.
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