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nickjoven
by nickjoven

Related Servers

Alternatives to erdgraph

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    Related Servers

    • A
      license
      Not graded
      quality
      B
      maintenance
      Enables agents to reverse-engineer software across native binaries, managed code, Electron apps, websites, and live runtime behavior, returning findings linked to the evidence and limitations behind each conclusion. It also maintains a durable workspace where those behaviors can be inspected, questioned, compared against real execution, and exported as runnable handoffs.
      404,838 npm
      MIT
    • A
      license
      Not graded
      quality
      B
      maintenance
      Enables agents to inspect and reverse engineer native binaries, JavaScript/Electron applications, .NET assemblies, websites, and runtime behavior, returning evidence-backed findings that can be explained, implemented, or tested.
      404,838 npm
      3
      MIT
    • A
      license
      Not graded
      quality
      C
      maintenance
      Enables AI agents (and a matching CLI) to inspect native binaries, JavaScript/Electron apps, .NET assemblies, Go/Rust/WASM artifacts, EVM bytecode, SQLite databases, recorded crashes, and websites without source code, explaining how features work and returning the evidence and limitations behind each conclusion. Analysis runs locally, using optional Hopper, Ghidra, or IDA providers for native targets.
      404,838 npm
      MIT
    • 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
      Not graded
      quality
      B
      maintenance
      Connects AI agents to reverse-engineering tools that inspect native binaries, JavaScript/Electron apps, .NET assemblies, websites, and runtime behavior without source code. Returns pseudocode, references, and evidence so agents can explain how a feature works or reimplement it.
      404,838 npm
      5
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    • A
      license
      C
      quality
      B
      maintenance
      Enables an AI agent to auto-detect a game's engine (Unity, Unreal, Godot, Java, or native) from its files and then inspect, search, and patch the underlying binaries with in-process PE analysis, hex editing, pattern scanning, string extraction, checksums, diffing, and disassembly. Everything runs locally and offline with no cloud dependency or telemetry.
      10
      100
      22 npm
      5
      MIT

    TDQS

    B3/5.0

    Scored across 18 tools

    Disambiguation4/5

    Most tools target clearly distinct operations (e.g., disassemble vs. callgraph vs. xrefs_to), but there is minor overlap: find can search labels that labels also lists, and propose_label vs. harvest_names both create proposed labels. Descriptions clarify the boundaries, so confusion is limited.

    Naming Consistency3/5

    Tool names mix noun-style (builds, overview, find, class_info, sql) with verb_noun-style (port_labels, make_signature, scan_signature, propose_label, review_label, harvest_names). The pattern is not consistent, though all names remain readable and understandable.

    Tool Count4/5

    18 tools is slightly above the typical 3–15 range, but each tool covers a distinct aspect of reverse-engineering graph analysis (builds, classes, functions, disassembly, xrefs, callgraph, globals, memory, signatures, labels, SQL). The count is reasonable for the domain, though not minimal.

    Completeness4/5

    The surface covers the core lifecycle: build overview, search, class/function/global inspection, disassembly, xrefs, callgraph, signatures, and label proposal/review/listing/porting. Minor gaps exist, such as no explicit label deletion or update operation and no xrefs_from tool, but these are workable via SQL or new proposals.

    Maintenance

    ActivityMaintained
    ResponsivenessNo issues