huangzheng2016

huangzheng2016 / FileEngine

Public

AI 驱动的文件整理引擎。通过 LLM Agent 自动扫描、分析、标记远程文件系统中的文件，生成整理方案并执行。

35
1
100% credibility
Found Apr 06, 2026 at 35 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
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AI Summary

FileEngine is an AI-powered desktop and web application that scans local or remote file systems, uses language models to classify files into categories, and executes organization plans via copy or move operations.

How It Works

1
🔍 Discover FileEngine

You find this handy app that promises to use smart AI to tidy up your messy files across folders or even remote drives.

2
💻 Connect your storage

Pick your local folders or link to remote servers like network shares so the app can see all your files.

3
🧠 Link an AI helper

Choose a smart AI service like ChatGPT to understand and decide where your files belong.

4
📂 Start a cleanup project

Select what area to organize, and let it scan everything without touching files yet.

5
✨ AI sorts magically

Watch the AI read your files, create smart categories like 'Photos' or 'Work Docs', and plan the perfect new homes for each one.

6
✅ Review and tweak plans

Check the suggested moves, adjust categories or paths, and preview everything looks good.

7
🚀 Organize with one click

Choose to copy (keep originals safe) or move files, and let it neatly rearrange your storage.

🎉 Enjoy tidy files

Your files are now perfectly organized into intuitive folders, saving you hours of manual sorting forever.

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Star Growth

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AI-Generated Review

What is FileEngine?

FileEngine is a Go-based web app that automates sorting files across remote filesystems like SMB, SFTP, FTP, NFS, or local dirs. It scans your storage, uses an LLM agent—powered by OpenAI, Claude, or Ollama—to analyze contents, tag files with descriptions, and propose reorganization into categories, all without touching originals until you approve. Run it via single binary or Wails desktop app, with Vue 3 UI for reviewing plans before copy/move execution.

Why is it gaining traction?

This LLM agent framework stands out with its ReAct-style agent architecture, giving the AI tools to read files, create categories, and cascade tags down directories, while tracking every token spent. Multi-protocol support and runtime-hot config tweaks (like concurrency) make it dead simple for remote NAS chaos, unlike basic scripts or manual drags. Early GitHub projects like this hook devs experimenting with agentic AI for real ops.

Who should use this?

Sysadmins wrangling messy SMB/NFS shares on home servers, or devs with sprawling download dirs on remote hosts who hate manual sorting. Perfect for anyone integrating local LLM GitHub models to auto-organize code repos, media libraries, or backups without risky bulk moves.

Verdict

Grab it if you need LLM agent skills for filesystem triage—builds fast, docs solid via README. At 35 stars and 1.0% credibility, it's raw but functional; test on a subset first, as agent outputs vary by model.

(187 words)

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