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Alternatives to hexsleuth

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    • A
      license
      Not graded
      quality
      B
      maintenance
      Enables AI agents and CLI users to statically inspect any binary offline — identifying file type, architecture, imports, packing, embedded content and signatures — and to diff two files to see exactly what changed. It works on ELF, PE and Mach-O executables, firmware dumps and calibration files without ever running them, reporting observations and inferences with file offsets as evidence.
      775 npm
      1
      MIT
    • A
      license
      Not graded
      quality
      A
      maintenance
      Enables an AI agent to reverse-engineer a compiled program with Ghidra — inspecting decompiled code, instructions, callers, memory bytes, and strings — without any source code. Every reply is labelled as fact, computed, or guess, and each claim traces back to hash-checked saved evidence.
      Apache 2.0
    • A
      license
      Not graded
      quality
      C
      maintenance
      Enables AI agents to locally analyze and reverse engineer binaries through a compact 12-tool MCP interface for triage, function discovery, disassembly/decompilation, cross-references, strings/imports, call graphs, memory reads, annotations, and binary diffs.
      1
      MIT
    • F
      license
      Not graded
      quality
      A
      maintenance
      Enables AI agents to import, disassemble, and debug binaries directly so they can perform cross-reference reasoning, rename stripped functions, and recover structure layouts during native reverse-engineering workflows. It integrates with offline ELF reconnaissance output to support symbol and struct recovery without opening the Ghidra GUI.
      -
    • A
      license
      Not graded
      quality
      Not graded
      maintenance
      Enables AI agents to inspect and reverse engineer local software targets, including binaries, JavaScript/Electron apps, .NET assemblies, and websites, returning evidence-backed findings for understanding and building similar features.
      415,576 npm
      MIT