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    • 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
      C
      maintenance
      Enables AI coding agents to inspect and reverse-engineer large binaries through bounded stdio JSON-RPC 2.0 tools for graph queries, SSA facts, path solving, runtime grounding, and mod scaffolding.
      1
      AGPL 3.0
    • A
      license
      A
      quality
      A
      maintenance
      Reverse engineering engine built for AI agents, written in Rust from scratch. Turns binaries into readable code checked against the machine, with the analysis an agent needs around it, fast and sized for the context window.
      34
      7
      AGPL 3.0
    • A
      license
      Not graded
      quality
      C
      maintenance
      Enables AI agents to dynamically observe and test running Windows x64 user-mode programs through Frida instrumentation, memory scanning, hardware watchpoints, Ghidra address mapping, in-process oracle calls, and Unicorn emulation diffs.
      1
      MIT
    • A
      license
      Not graded
      quality
      D
      maintenance
      Provides 7 reverse-engineering tools (hexdump, disasm, strings, xref, Ghidra decompilation, angr symbolic execution, OLLVM deobfuscation) for LLM agents like hermes-agent and Claude Desktop.
      1
      MIT

    TDQS

    A3.5/5.0

    Scored across 20 tools

    Disambiguation4/5

    Most tools target clearly distinct reverse-engineering actions, such as static decompilation, symbolic solving, probing entropy, unpacking, and mobile package analysis. Some overlap exists among active patching tools (patch_binary_executable, hot_patch_live_memory, neutralize_anti_debugging, bypass_license_authorization), but their descriptions distinguish disk, live-memory, anti-debug, and licensing scopes.

    Naming Consistency5/5

    All tools use snake_case and begin with an action-oriented verb or verb phrase, e.g. decompile_*, detect_*, trace_*, scan_*, patch_*. Minor modifier phrases like dynamically_unpack_binary and hot_patch_live_memory are still readable and consistent within the overall convention.

    Tool Count4/5

    Twenty tools is slightly heavy, but the breadth of binary analysis, decompilation, dynamic instrumentation, patching, unpacking, and mobile/desktop coverage justifies most of them. A few capabilities are specialized enough that consolidation could reduce overlap, but the set is not bloated for a reverse-engineering suite.

    Completeness5/5

    The surface covers static analysis, decompilation, entropy/protection detection, symbolic execution, taint tracing, anti-debug neutralization, binary patching, live memory patching, Frida instrumentation, unpacking, and iOS/Android decompilation. It addresses both analysis and active intervention workflows, leaving no obvious major gap for the stated domain.

    Maintenance

    ActivityMaintained
    ResponsivenessNo issues