HackerAI is an AI-powered assistant designed to automate and enhance penetration testing workflows. It targets security professionals and researchers by integrating multiple AI models and a secure execution environment to streamline vulnerability discovery and analysis.

How It Works

The project employs a sophisticated multi-AI architecture, integrating distinct AI model providers such as AI GATEWAY, OpenAI, and XAI to offer a broad spectrum of penetration testing capabilities. A core design principle is the utilization of E2B, a dedicated sandbox environment, which ensures secure and isolated execution of code within its agent mode. This approach is advantageous for mitigating risks associated with automated vulnerability discovery and analysis. Backend services and data persistence are managed by Convex, while WorkOS handles user authentication and management.

Quick Start & Requirements

• Installation:

  git clone https://github.com/hackerai-tech/hackerai.git
  cd hackerai
  pnpm install
  pnpm run setup
  pnpm run dev
  

• Prerequisites: Requires accounts with AI GATEWAY, OpenAI, XAI, E2B, Convex, and WorkOS. Optional integrations include Amazon S3, Perplexity, Jina AI, Redis, Upstash Redis, PostHog, and Stripe. Uses pnpm package manager.
• Setup: Requires significant setup due to numerous third-party service integrations.

Highlighted Details

• Multi-AI Integration: Leverages multiple AI providers (OpenAI, XAI, AI GATEWAY) for diverse and advanced penetration testing functionalities.
• Secure Agent Execution: Employs E2B sandbox for safe, isolated execution of code during automated agent operations, enhancing security and reliability.
• Integrated Backend & Auth: Utilizes Convex for database and backend infrastructure, complemented by WorkOS for robust authentication and user management.
• Extensible Functionality: Supports optional integrations for web search (Perplexity), content retrieval (Jina AI), file storage (S3), and more, allowing for tailored workflows.

Maintenance & Community

Information regarding notable contributors, sponsorships, community channels (Discord/Slack), or roadmap is not present in the provided README.

Licensing & Compatibility

The project is licensed under "Apache 2.0 with Commercial Restrictions". Specific details on commercial use or linking restrictions are not elaborated in the provided text.

Limitations & Caveats

The primary adoption barrier is the extensive dependency on numerous third-party AI and service accounts, which necessitates significant configuration and potential costs. The project appears to be in an active development phase, indicated by the setup and development commands.