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disktracker

v2.1.1

Published

DiskTracker — Windows file-system observation daemon and CLI

Readme

🔍 DiskTracker (NPM Wrapper)

Created by Pratham Parikh

GitHub stars

Platform: Windows x64 NPM version

DiskTracker is an NPM wrapper that installs the high-performance, real-time Windows file-system observation daemon and AI-driven command-line tool.


⚡ Installation

Install DiskTracker globally through npm:

npm install -g disktracker

[!NOTE] Compatibility: DiskTracker is strictly supported on Windows x64 platforms. Installation on Linux or macOS is blocked to prevent incompatibility. The NPM package runs a lightweight postinstall script to download the version-matched precompiled native Windows binary from GitHub Releases and sets up a global symlink.


🚀 Commands Quick Reference

Once installed, you can use the disktracker command directly in your command line:

# Initialize and crawl C: drive (starts daemon service)
disktracker init

# Check background tracking status
disktracker status

# Ask AI questions about disk usage
disktracker ask "Find all log files in C:\Temp larger than 50MB and summarize them"

# Search for files (substring search by default; use --advanced for fuzzy search)
disktracker search "log" --min-size 10485760

# View file mutation history (Created, Deleted, Modified)
disktracker history C:\Projects

# Stop and uninstall the service
disktracker uninstall

💡 Why use DiskTracker?

  • Real-Time Log Decoupling: Instantly tracks file system operations by streaming NTFS USN Journals, writing them to a local SQLite WAL-mode log, and merging them in the background.
  • AI-Driven LangGraph Agent: By configuring your OpenAI/OpenRouter API key, you can talk to your disk in natural language (disktracker ask), allowing the LLM to inspect files, query sizes, and perform safe, human-approved cleanup actions.
  • Developer Friendly: Easily execute disk analysis scripts, track file updates, and integrate diagnostics directly into your Node projects.

🎯 Next Goals

We plan to expand DiskTracker along these key vectors:

  1. Testing Suite Expansion: Build full workspace integration and Mock USN tests.
  2. Cross-Platform Support: Develop macOS FSEvents and Linux inotify platforms.
  3. GUI Desktop Client: Build an Electron/Tauri frontend visualizer for real-time charting.