vudsen/ai-disk-cleaner

An AI-powered intelligent disk cleanup assistant; 一款 AI 驱动的智能磁盘清理助手。

What it solves

It simplifies disk cleanup by using an AI assistant to identify and summarize junk files that can be safely removed, reducing the manual effort of hunting for unnecessary data.

How it works

The tool follows a three-step process: first, it uses gdu to scan a specific location and load the file tree into memory. Second, it exposes a file tree reading tool to an LLM, which scans the file tree to find trash files and marks them using an add_trash_file tool. Finally, it combines these AI analysis results and presents them to the user.

Who it’s for

Windows users who want an intelligent way to manage disk space and move files to other drives.

Highlights

  • Intelligent LLM analysis to identify removable junk files.
  • Centralized management of symbolic links for one-click file migration to other drives.

Related

  • Project
    vllm-project/agentic-api

    Agentic API is a Rust‑based server that sits in front of vLLM (or compatible LLM back‑ends) and provides OpenAI‑compatible *Responses* and Anthropic *Messages* APIs with built‑in state management, server‑side tool execution (web search, fetch, MCP, code interpreter), multi‑agent orchestration, persistence (SQLite/PostgreSQL), and support for HTTP, SSE, and WebSocket transports.

  • Project
    kunchenguid/vision

    An agent skill that mines a repository's history to create a stress-tested VISION.md file, serving as a concrete acceptance policy for project features and contributions.

  • Project
    xjli360/sealeap-amazon-skills

    A comprehensive, open-source library of over 600 AI-ready workflows designed to help Amazon sellers automate tasks like advertising, product selection, and inventory management.

  • Project
    Azure-Samples/python-ai-agent-frameworks-demos

    A collection of Python example scripts that demonstrate how to build AI agents with several popular frameworks — Microsoft Agent Framework, LangChain/LangGraph, OpenAI Agents, PydanticAI, and LlamaIndex — all runnable against Azure OpenAI, OpenAI.com, or local Ollama models.