gigioneggiando/argo — 👁️ LLM-native static vulnerability detection.

Description and use

gigioneggiando/argo: gigioneggiando/argo helps add AI capability without starting from a blank model stack.. Use it for prototype AI features; build RAG or agent workflows. High for an OSS candidate: recent activity, adoption, and ecosystem signals are strong enough for a serious pilot.

Problem

gigioneggiando/argo helps add AI capability without starting from a blank model stack.

Outcome

High for an OSS candidate: recent activity, adoption, and ecosystem signals are strong enough for a serious pilot.

Workflow

• prototype AI features
• build RAG or agent workflows
• evaluate model tooling

Evidence

👁️ LLM-native static vulnerability detection. An LLM reads your source like a human auditor, point it at any local folder or repo and get a reviewable vuln report. Auto-enriched prompts, adversarial validation, opt-in fix-verify. Runs on Claude Code / Codex / local OSS. Bug-bounty triage is one mode. Detection-only, read-only.

Source