Organise Your Local File Directories With AI — n8n 工作流

中 复杂度⚡ 触发器10 个节点🏷️ File Management👁 12,545 次查看作者：Jimleuk

概览

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.

使用的节点

Basic LLM ChainStructured Output ParserMistral Cloud Chat Model

工作流预览

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

工作原理

  1. 1

    触发器

    工作流由 触发器 触发器启动。

  2. 2

    处理

    数据流经 10 个节点, connecting chainllm, executecommand, if。

  3. 3

    输出

    工作流完成自动化并将结果发送到配置的目标。

节点详情 (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

如何导入此工作流

  1. 1点击右侧 下载 JSON 按钮保存工作流文件。
  2. 2打开你的 n8n 实例，依次点击 工作流 → 新建 → 从文件导入。
  3. 3选择下载的 organise-your-local-file-directories-with-ai 文件并点击导入。
  4. 4为每个服务节点配置 凭证（API 密钥、OAuth 等）。
  5. 5点击 测试工作流 验证一切正常，然后激活它。

或直接在 n8n → 从 JSON 导入 中粘贴：

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

集成

chainllmexecutecommandiflmchatmistralcloudlocalfiletriggeroutputparserstructuredsetsplitout

获取此工作流

一键下载并导入

下载 JSON在 n8n.io 上查看
节点10
复杂度medium
触发器trigger
查看次数12,545
分类File Management

创建者

Jimleuk

Jimleuk

@jimleuk

标签

chainllmexecutecommandiflmchatmistralcloudlocalfiletriggeroutputparserstructuredsetsplitout
⚡

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