Code-Augur
Autonomous LLM agent for security vulnerability detection through specification inference
About
Code-Augur is a research-focused agentic system that automatically detects security vulnerabilities by inferring code specifications and analyzing function behavior. Unlike traditional static analysis tools, it uses LLM-powered reasoning to uncover critical security flaws through transparent assumption validation. Designed for security audits and code review workflows, it operates autonomously to identify vulnerabilities that rule-based systems often miss.
Details
| Type | coding-agent |
| Deployment | self-hosted |
| Supported Models |
Tags
Quick Info
- Organization
- Research Team (Luo et al.)
- Pricing
- open-source
- Free Tier
- Yes
- Updated
- Jun 18, 2026
Also in Agents
AI Data Analysis Agent
Autonomous agent that analyzes datasets and generates visual insights
AI Deep Research Agent
Autonomous agent that conducts comprehensive multi-source research investigations
AI Journalist Agent
Autonomous agent that researches topics and writes structured news articles