Ross ROSS = Recommend OSS · open-source software intelligence for agents

mrphrazer/reverser_ai

Provides automated reverse engineering assistance through the use of local large language models (LLMs) on consumer hardware. observed · 2026-08-28

github.com/mrphrazer/reverser_ai · Python · GPL-2.0 (copyleft) observed · 2026-08-28

Health v2 · maintenance only

68/100

  • Activity 83
  • Release rhythm 52
  • Longevity 64
How is this computed?

round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-02. Adoption (stars, forks) is never an input.

  • gap_med: n/a
  • age_days: 899
  • days_rel: 105
  • days_push: 105
  • n_releases_24m: 1

Full methodology

Adoption not part of the score

1127 stars · 86 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

ReverserAI is a Binary Ninja plugin that provides automated reverse engineering assistance using locally-hosted large language models running entirely offline on consumer hardware. Its initial feature automatically suggests semantically meaningful function names derived from decompiler output, with a modular architecture intended to extend to IDA and Ghidra.

Use cases

  • rename stripped binary functions automatically with local llm
  • offline ai-assisted reverse engineering for confidential binaries
  • suggest meaningful function names from decompiler output
  • run llm analysis on consumer hardware like apple silicon
  • extend ai-assisted binary analysis to ida and ghidra
  • combine static analysis with llm suggestions in binary ninja

When to choose

  • you need AI-assisted reverse engineering without sending code to cloud services
  • you work in Binary Ninja and want automatic function name suggestions
  • you have consumer-grade hardware and want offline LLM inference
  • confidentiality requirements prevent using cloud-based LLMs

When to avoid

  • you need cloud-grade LLM performance for complex analysis
  • you use a disassembler other than Binary Ninja without writing an adapter
  • your hardware cannot run local LLMs with acceptable performance

Facets

plugin · maturity active

reverse-engineering llm-inference nlp reverse-engineering security large-language-models developer-tools python cross-platform binary-ninja-plugin local-llm offline function-naming decompiler ai-assisted-analysis desktop

1 source

Member repositories

RepositoryRoleHealth v2
mrphrazer/reverser_aimain68

For agents

markdown · JSON · MCP: product_card(name="mrphrazer/reverser_ai")

Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem