Awesome AI Agents › Runtime Analysis Tools
Agentic Radar is a specialized security scanner designed for analyzing and assessing agentic workflows that utilize large language models (LLMs). It targets developers, researchers, and security professionals who work with agentic systems, providing them with detailed insights into the operational and security aspects of these complex workflows. The tool generates comprehensive security reports that include several key features: workflow visualization, which presents a graphical representation of the agentic system's workflow; tool identification, listing all external and custom tools used by the system; MCP server detection, identifying all MCP servers employed by the agents; and vulnerability mapping, which connects detected tools to known vulnerabilities to provide a clear security overview. The output is a detailed HTML report that summarizes all findings, making it easy to review and share. Agentic Radar also maps detected vulnerabilities to well-known security frameworks such as the OWASP Top 10 for LLM applications and the OWASP Agentic AI threats and mitigations, enhancing the relevance and applicability of its security assessments. The tool supports multiple frameworks including LangGraph, CrewAI, n8n, and OpenAI Agents SDK, with plans to extend support to others like LlamaIndex and AutoGen. Installation is straightforward via Python's pip package manager, and it offers command-line interface options for scanning different types of agentic workflow codebases. The project includes a demo and detailed documentation to help users get started quickly. Overall, Agentic Radar simplifies the complex task of security assessment in agentic AI workflows by providing structured, actionable insights and visualizations, making it an essential tool for ensuring the security and transparency of AI-driven agentic systems.
https://github.com/splx-ai/agentic-radar
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