Organise Your Local File Directories With AI — Workflow n8n

Moyen complexité Déclencheur10 nœuds🏷️ File Management👁 12,545 vuespar Jimleuk

Aperçu

If you have a shared or personal drive location with a high frequency of files created by humans, it can become difficult to organise. This may not matter... until you need to search for something!

This n8n workflow works with the local filesystem to target the messy folder and categorise as well as organise its files into sub directories automatically.

Disclaimer Unfortunately due to the intended use-case, this workflow will not work on n8n Cloud and a self-hosted version of n8n is required.

Nœuds utilisés

Basic LLM ChainStructured Output ParserMistral Cloud Chat Model

Aperçu du workflow

Step 1. Select the target folder
Read more about local file trigger
In this workflow, we'll monitor a specifi
Step 2. Identify files that need to be organi
Read more about Execute Command node
For all Files in the root
Step 3. Using Mistral AI to organise our targ
Read more about Mistral AI
Using M
Step 4. Move the files into subdirectories
Read more about Execute Command node
For this step, we'll use the ex
Try It Out!
This workflow does the following:
* Monitors a target folder for changes using the local
* identifies all files and subdirectories in the target
🚨 Warning! Potential destructive operations
This workflow manipulates the filesystem. Always make b
modelparser
L
Local File Trigger
G
Get Files and Folders
F
Files and Folders to Array
Mistral Cloud Chat Model
Structured Output Parser
S
Set Variables
M
Move Files into Folders
I
If Has Target Files...
G
Get Suggestions to List
AI File Manager
10 nodes9 edges

Comment ça fonctionne

  1. 1

    Déclencheur

    Le workflow démarre avec un déclencheur déclencheur.

  2. 2

    Traitement

    Les données transitent par 10 nœuds, connecting chainllm, executecommand, if.

  3. 3

    Sortie

    Le workflow termine son automatisation et livre le résultat à la destination configurée.

Détails des nœuds (10)

BA

Basic LLM Chain

n8n-nodes-langchain.chainLlm

#1
ST

Structured Output Parser

n8n-nodes-langchain.outputParserStructured

#2
MI

Mistral Cloud Chat Model

n8n-nodes-langchain.lmChatMistralCloud

#3

Comment importer ce workflow

  1. 1Cliquez sur le bouton Télécharger JSON à droite pour enregistrer le fichier du workflow.
  2. 2Ouvrez votre instance n8n. Accédez à Workflows → Nouveau → Importer depuis un fichier.
  3. 3Sélectionnez le fichier organise-your-local-file-directories-with-ai téléchargé et cliquez sur Importer.
  4. 4Configurez les identifiants pour chaque nœud de service (clés API, OAuth, etc.).
  5. 5Cliquez sur Tester le workflow pour vérifier que tout fonctionne, puis activez-le.

Ou collez directement dans n8n → Importer depuis JSON :

{ "name": "Organise Your Local File Directories With AI", "nodes": [...], ...}

Intégrations

chainllmexecutecommandiflmchatmistralcloudlocalfiletriggeroutputparserstructuredsetsplitout

Obtenir ce workflow

Téléchargez et importez en un clic

Télécharger JSONVoir sur n8n.io
Nœuds10
Complexitémedium
Déclencheurtrigger
Vues12,545
CatégorieFile Management

Créé par

Jimleuk

Jimleuk

@jimleuk

Tags

chainllmexecutecommandiflmchatmistralcloudlocalfiletriggeroutputparserstructuredsetsplitout

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