{
  "slug": "hound",
  "name": "Hound",
  "tagline": "Open-source, language-agnostic auditing agent with relation-first knowledge graphs",
  "maintainer": "Bernhard Mueller (scabench-org)",
  "url": "https://github.com/scabench-org/hound",
  "repo": "https://github.com/scabench-org/hound",
  "category": "smart-contracts",
  "targets": [
    "Language-agnostic",
    "Solidity"
  ],
  "approach": "Relation-first knowledge graphs, persistent vulnerability hypotheses, scout and strategist model switching",
  "license": "Open source",
  "status": "Active (paper 2025-10)",
  "summary": "Hound is an open-source auditing agent that builds relation-first knowledge graphs of a codebase and maintains persistent vulnerability hypotheses. On a ScaBench subset it reported 34 true positives against 9 for the baseline, with recall of 31.2 percent versus 8.3 percent.",
  "details": [
    "Hound and ScaBench come from the same author, giving an unusually transparent tool-plus-benchmark pair."
  ],
  "strengths": [
    "Open source with a public benchmark.",
    "Language-agnostic design.",
    "Documented architecture."
  ],
  "limits": [
    "31 percent recall.",
    "Single-maintainer project."
  ],
  "fit": [
    "Use to understand agentic auditing, or as a free second opinion."
  ],
  "references": [
    [
      "Hound repository",
      "https://github.com/scabench-org/hound"
    ],
    [
      "Hound paper (arXiv 2510.09633)",
      "https://arxiv.org/abs/2510.09633"
    ]
  ],
  "category_name": "Smart-contract AI auditors",
  "page": "https://agentsast.com/tools/hound/",
  "updated": "2026-09-13"
}