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
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分析模型:LongCat-2.0 | 分析时间:1 个月前