PentestAgent: AI Agent Framework for Black-Box Security Testing
PentestAgent is an open-source Python framework that applies AI agent techniques to penetration testing, bug bounty, and red-team workflows. The project has accumulated 2,497 GitHub stars with modest daily traction (+30). It represents a practical deployment of autonomous agent architectures in offensive security contexts.
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Microsoft RAMPART: pytest-native safety and security testing framework for agentic AI
Microsoft has released RAMPART, an open-source Python framework for safety and security testing of agentic AI applications, built natively on pytest. The repository is gaining traction on GitHub with 301 total stars and 77 new stars today. It targets the growing need for structured evaluation tooling specifically designed for AI agents rather than traditional software.
pydantic/pydantic-ai: AI Agent Framework Trending on GitHub
pydantic-ai is an open-source AI agent framework built by the Pydantic team, applying Pydantic's data validation patterns to AI agent construction. The repository has accumulated 17,238 stars with modest daily momentum (+16 today). It represents a community-level signal of interest in structured, type-safe agent tooling in Python.
Agent-S: Open Agentic Framework for Human-Like Computer Use
Agent-S is an open-source Python framework by Simular AI designed to enable AI agents to interact with computers in a human-like manner. The project has accumulated 11,388 GitHub stars with modest daily growth of 29 stars. It represents an entry in the growing space of computer-use agent frameworks targeting GUI and desktop automation tasks.
Microsoft agent-framework: open-source library for building and orchestrating AI agents
Microsoft has published an open-source framework on GitHub for building, orchestrating, and deploying AI agents and multi-agent workflows, with support for both Python and .NET. The repository has accumulated 11,061 stars. It represents Microsoft's entry into the agent harness tooling space alongside existing frameworks like LangChain and AutoGen.
HexStrike AI: MCP server exposing 150+ cybersecurity tools to AI agents
HexStrike AI is an open-source MCP server that enables AI agents (Claude, GPT, Copilot, and others) to autonomously invoke over 150 offensive security tools for penetration testing, vulnerability discovery, and bug bounty automation. The project bridges LLMs with real-world offensive security capabilities via the Model Context Protocol. With 9,221 GitHub stars, it represents a notable community signal around agentic security tooling and the expanding attack surface of AI-driven automation.
Shannon Lite: Autonomous White-Box AI Pentester for Web Applications and APIs
Shannon Lite is an open-source autonomous AI security testing tool that performs white-box penetration testing on web applications and APIs. It analyzes source code to identify attack vectors and executes real exploits to validate vulnerabilities before production deployment. The project is implemented in TypeScript and has accumulated over 42,000 GitHub stars, with 200 new stars today indicating strong community traction.
Anthropic-Cybersecurity-Skills: 754 Structured Cybersecurity Skills for AI Agents
A GitHub repository providing 754 structured cybersecurity skills designed for AI coding agents, mapped to five major frameworks including MITRE ATT&CK, NIST CSF 2.0, MITRE ATLAS, D3FEND, and NIST AI RMF. The skills are organized across 26 security domains and conform to the agentskills.io standard. The project claims compatibility with Claude Code, GitHub Copilot, Codex CLI, Cursor, Gemini CLI, and 20+ other platforms. It has accumulated 7,330 stars with 238 added today, indicating notable community traction.
Agent-Reach: open-source CLI tool giving AI agents multi-platform web access without API fees
Agent-Reach is an open-source Python CLI tool that enables AI agents to read and search across Twitter, Reddit, YouTube, GitHub, Bilibili, and XiaoHongShu without requiring API keys or fees. The project has accumulated over 21,000 GitHub stars with 127 added today, indicating significant community traction. It addresses a common friction point in agent development: accessing real-time web content across multiple platforms.