argus-panoptes is an open-source CLI agent that uses AI to perform automated security audits on code repositories. Below are 7 security & compliance platforms apps with similar functionality to argus-panoptes, matched by what each product actually does — not ranked or scored. Explore each to find the closest fit for your use case.
Argus is an open-source command-line security scanner that performs SAST, DAST, SCA, secrets detection, and infrastructure as code analysis. It supports Terraform and Ansible, integrates with MCP, and is designed for DevSecOps teams to automate security checks in their development pipelines.
argus-ai-scanner is an open-source, AI-native code security scanner that uses runtime sandbox validation to confirm exploits, auto-patch vulnerabilities, and replay fixes at scale. It is designed for developers and security teams seeking automated, intelligent code security solutions.
argus-redteam-agent is a command-line security scan agent that performs local vulnerability assessments, including SAST and SCA, ensuring code never leaves the user's infrastructure. It is designed for security engineers and DevOps teams prioritizing privacy and compliance.
argus-cli is an open-source command-line interface for Argus MCP, providing both interactive REPL and one-shot command execution. It enables developers to interact with Argus MCP efficiently for automation and scripting tasks. Licensed under MIT.
argus-code is an open-source CLI dashboard for local analysis of Claude Code usage, costs, and token analytics. It provides full-text search and integrates with Claude Code, helping AI engineers and analysts monitor their usage efficiently.
agentaudit-scanner is an open-source CLI tool that scans AI agent skills, rule files, and MCP configurations for security risks like prompt injections and hidden instructions. It is designed for AI security engineers and developers to ensure safe agent deployments.
Arguslog is a web-based error tracking platform specifically designed for AI agents. It offers conversational diagnostics and a dialogue-based interface, enabling developers and teams to monitor, debug, and improve agent reliability with minimal dashboard overhead.
