vxcontrol / pentagi
Self-hosted multi-agent AI system that autonomously executes penetration testing workflows in isolated Docker sandboxes
正常维护 MIT Go Tracked
22.2k 3.0k 23 天前
CIDocker
ai-agents ai-security-tool autonomous-agents golang graphql multi-agent-system penetration-testing-tools react security-automation security-testing security-tools anthropic gpt offensive-security open-source openai penetration-testing self-hosted
星标趋势
数据积累中,暂无足够数据生成趋势图
AI 分析
项目摘要
PentAGI is a fully autonomous multi-agent AI system purpose-built for automated penetration testing. It orchestrates AI agents within sandboxed Docker environments to execute complex security testing workflows while supporting multiple LLM providers and self-hosted deployment.
为什么值得关注
It uniquely combines multi-agent AI orchestration with offensive security in a privacy-focused, self-hosted platform that has rapidly gained 21k+ stars, featuring broad LLM provider support and active development with regular releases.
优势
- Multi-agent architecture decomposes complex penetration testing tasks into specialized agent workflows
- Sandboxed Docker isolation ensures safe execution of potentially dangerous security operations
- Extensive LLM provider compatibility (OpenAI, Anthropic, Ollama, Gemini, Bedrock, DeepSeek, GLM, Kimi, Qwen)
- Self-hosted deployment model gives security teams full data control and compliance flexibility
局限性
- Lacks automated tests despite being a security-critical tool, raising reliability concerns
- Go language ecosystem offers fewer AI/ML libraries compared to Python-based alternatives
使用场景
- Automated penetration testing and vulnerability assessment for enterprise security teams
- Red team operations with AI-assisted reconnaissance and exploitation planning
- Security research automation for discovering novel attack vectors and exploit chains
目标用户: Penetration testers, red team operators, and security researchers seeking AI-powered automation with data sovereignty
学习曲线: 中
分析模型:LongCat-2.0 | 分析时间:1 个月前