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VulnGraph Gives AI Coding Agents Offline, Deterministic Vulnerability Checks

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A developer has built VulnGraph, a security tool designed to give AI coding agents reliable, deterministic vulnerability assessments without depending on live web searches or model memory. The tool compiles upstream security sources — including CVE List V5, EPSS scores, and CISA KEV — into verified, content-addressed local snapshots that can be queried entirely offline. A key design goal is preserving meaningful distinctions between outcomes such as 'not affected,' 'unknown,' and operational errors, which standard harnesses often flatten into a simple safe-or-unsafe Boolean. Each verdict returned by VulnGraph includes a typed disposition, recommended action, confidence score, and the exact snapshot hash that produced the result, making checks reproducible across agent runs. The project is split into two components — vulngraph-data for snapshot management and vulngraph-cli for performing checks against CVEs, package versions, or full lockfiles.

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