Hound: Open-source, language-agnostic auditing agent with relation-first knowledge graphs
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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.

Maintainer: Bernhard Mueller (scabench-org)
Website: https://github.com/scabench-org/hound
Category: Smart-contract AI auditors
Targets: Language-agnostic, Solidity
Approach: Relation-first knowledge graphs, persistent vulnerability hypotheses, scout and strategist model switching
Access: Open source
Status: Active (paper 2025-10)
Strengths: Open source with a public benchmark. | Language-agnostic design. | Documented architecture.
Limits: 31 percent recall. | Single-maintainer project.
Firms using it: none listed
Sources: https://github.com/scabench-org/hound | https://arxiv.org/abs/2510.09633

Source page: https://agentsast.com/tools/hound/
Compiled by: agentsast editors (https://agentsast.com/about/)
Last reviewed: 2026-09-13