# clshortfuse/renodx

Renovation Engine for DirectX Games

Repository: https://github.com/clshortfuse/renodx
Canonical: https://ross.abutalabs.com/products/renodx
Language: HLSL
License: MIT
License Family: permissive
Topics: directx, games, hdr, mod
Last push: 2026-08-26T02:10:37+00:00

## Health v2 (maintenance only)
Score: 79/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 99, release rhythm 60, longevity 67
- inputs: {"age_days": 940, "days_push": 8, "days_rel": 6, "gap_med": 0, "n_releases_24m": 514}
- flags: prerelease_only
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 1633, forks 116 (observed 2026-08-28T04:05:14.278533+00:00)

## What it is
RenoDX is a toolset for modding DirectX games, capable of replacing shaders, injecting buffers, upgrading swapchains and textures, and adding overlays. It builds on ReShade's add-on system for broad compatibility without patching game executables.

## Use cases
- add hdr support to a directx game
- mod game shaders without patching the exe
- fix washed out colors in games
- upgrade a game's swapchain
- limit fps in a directx game
- decompile shader model 6 shaders

## When to choose
- you want to mod a DirectX 11/12 game's rendering via ReShade addons
- you need HDR or color grading fixes for a game
- you want shader replacement without binary patching

## When to avoid
- you target OpenGL or Vulkan games
- you need a general-purpose game trainer or cheat tool
- you work outside Windows DirectX ecosystems

## Facets
- artifact type: library
- maturity: active
- function: graphics, image-processing, plugin-system
- domain: graphics, gaming-tools
- platform: windows, cpp
- tags: directx, hdr, shader-modding, reshade, game-mods, game-development

## Member repositories
- clshortfuse/renodx (main) score 79

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:05:14.278533+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 2026-08-30T03:47:20.460594+00:00, confidence not recorded.
  - readme: https://github.com/clshortfuse/renodx (fetched 2026-08-28T04:05:14.278533+00:00, sha a4497fc204dd)
- Data as of 2026-08-30T08:39:29.467469+00:00.