# Tokeii0/LovelyMem

基于Memprocfs和Volatility的可视化内存取证工具

Repository: https://github.com/Tokeii0/LovelyMem
Canonical: https://ross.abutalabs.com/products/lovelymem
Language: TypeScript
License: AGPL-3.0
License Family: copyleft
Topics: ctf, memprocfs, volatility, ctftools, volatility3
Last push: 2026-08-10T11:07:58+00:00

## Health v2 (maintenance only)
Score: 87/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 97, release rhythm 85, longevity 70
- inputs: {"age_days": 982, "days_push": 23, "days_rel": 23, "gap_med": 52, "n_releases_24m": 12}
- flags: none
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 1725, forks 88 (observed 2026-08-28T04:05:28.089193+00:00)

## What it is
Lovelymem V2 is a Windows desktop memory forensics workbench built with Rust, Tauri 2, and TypeScript. It integrates MemProcFS, Volatility 2/3, and MemNixFS into a unified GUI with structured result views, timeline investigation, and an optional AI forensics agent.

## Use cases
- analyze a Windows memory dump with a GUI instead of Volatility command lines
- extract processes, network connections, files, and registry from a memory image
- investigate malware incidents via memory forensics timelines
- solve CTF forensics challenges involving memory dumps
- analyze Linux memory images with MemNixFS workflows
- generate forensic reports from memory analysis results

## When to choose
- you need a visual workbench for memory dump analysis on Windows x64
- you want MemProcFS and Volatility 2/3 unified in one interface
- you are doing CTF forensics or incident response involving memory captures

## When to avoid
- you need to run the analysis client on Linux or macOS (only Linux memory images are supported, not the desktop app)
- you require a scriptable or headless forensics pipeline rather than a GUI
- you cannot download or configure third-party forensics engines, which are not bundled

## Facets
- artifact type: application
- maturity: active
- function: security, gui, developer-tools
- domain: security, windows, developer-tools
- platform: windows
- tags: memory-forensics, volatility, memprocfs, ctf, digital-forensics, tauri, incident-response, forensics, desktop

## Member repositories
- Tokeii0/LovelyMem (main) score 87

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:05:28.089193+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-30T03:32:34.547840+00:00, confidence not recorded.
  - readme: https://github.com/Tokeii0/LovelyMem (fetched 2026-08-28T04:05:28.089193+00:00, sha ba195c582113)
- Data as of 2026-08-30T08:39:29.467469+00:00.