# fancycode/MemoryModule

Library to load a DLL from memory.

Repository: https://github.com/fancycode/MemoryModule
Canonical: https://ross.abutalabs.com/products/memorymodule
Homepage: http://www.joachim-bauch.de/tutorials/loading-a-dll-from-memory/
Language: C
License: MPL-2.0
License Family: copyleft
Last push: 2024-01-03T15:08:02+00:00

## Health v2 (maintenance only)
Score: 32/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 0, release rhythm 35, longevity 100
- inputs: {"age_days": 5793, "days_push": 973, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 3159, forks 826 (observed 2026-08-28T04:07:46.476690+00:00)

## What it is
A C library that loads Windows DLLs entirely from memory without writing them to disk, bypassing the filesystem-only limitation of LoadLibrary. It implements PE format parsing and manual module loading.

## Use cases
- load a dll from memory without writing to disk
- embed a dll inside an executable and load it at runtime
- avoid dropping temporary dll files to the filesystem
- make disassembling of bundled libraries harder
- implement a custom PE loader for windows

## When to choose
- you need to load DLLs from memory buffers on Windows
- you want to distribute a single executable with embedded libraries
- you want to avoid temp-file workarounds for in-memory DLL loading

## When to avoid
- you just need standard DLL loading from files
- you target non-Windows platforms
- you need managed/.NET assembly loading

## Facets
- artifact type: library
- maturity: maintenance
- function: security, developer-tools
- domain: developer-tools, security, operating-systems
- platform: windows, cpp, c
- tags: dll-loading, pe-format, memory-loading, reverse-engineering, windows-api

## Member repositories
- fancycode/MemoryModule (main) score 32

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:07:46.476690+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 2026-08-30T07:25:16.524664+00:00, confidence not recorded.
  - readme: https://github.com/fancycode/MemoryModule (fetched 2026-08-28T04:07:46.476690+00:00, sha 58681d873ce3)
  - homepage: http://www.joachim-bauch.de/tutorials/loading-a-dll-from-memory/ (fetched 2026-08-29T09:40:01.006504+00:00, sha 8271950c0dba)
  - site_page: https://www.joachim-bauch.de/about (fetched 2026-08-29T09:40:01.014690+00:00, sha 6c40c891d1dd)
- Data as of 2026-08-30T08:39:29.467469+00:00.