CMatrix：多智能体AI驱动的安全红队自动化平台

CMatrix is an AI-powered security orchestration platform built with LangGraph and FastAPI. It leverages multi-agent architecture to automate security assessment, vulnerability scanning, and threat intelligence collection, while supporting human approval workflows and audit-friendly operations. This platform aims to address the limitations of traditional manual security testing (high cost, lack of scalability) by combining AI agent collaboration with human oversight.

Traditional security assessments rely heavily on manual penetration testing, which is costly and hard to scale. CMatrix was developed to fill this gap as an AI-driven security orchestration platform focused on automated security assessment, vulnerability scanning, and threat intelligence collection. Unlike single-point tools, it uses multi-agent collaboration. A key advantage is its "Human-in-the-Loop" design: for potentially destructive operations, it requires human approval to balance automation with risk mitigation.

CMatrix adopts modern cloud-native tech stack:

• Backend: FastAPI (async web framework) + LangChain/LangGraph (AI agent orchestration).
• Frontend: Next.js + TypeScript + Tailwind CSS + Radix UI (modern, accessible UI).
• Real-time communication: Server-Sent Events (SSE) for live progress tracking.
• Data storage: PostgreSQL (user info, state checkpoints), Redis (job queues, cache), Qdrant (vector DB for agent long-term memory/knowledge base).

CMatrix has four specialized agents:

1. Network Agent: Port scanning, service discovery, network topology analysis.
2. Web Agent: HTTP/HTTPS endpoint validation, security header analysis, authentication testing.
3. Vuln Agent: CVE database search, threat intelligence collection, security bulletin tracking.
4. Command Agent: Executes terminal commands only after human approval.

Agents use ReAct (Reasoning + Acting) mode and access over 22 security tools across 7 domains. They share context via Qdrant for cross-session knowledge accumulation.

CMatrix prioritizes security with multiple safeguards:

• Dangerous operations need human approval.
• Command execution has a default 30-second timeout.
• Sudo permissions are disabled by default.
• Full audit logs for all operations.

It supports multiple LLM providers: Google Gemini (recommended free tier), OpenAI GPT, Anthropic Claude, and local Ollama deployment, allowing offline use in intranets.

CMatrix applies to various scenarios:

• DevSecOps: Integrate into CI/CD pipelines for continuous security assessment.
• Security consultants: Standardized testing framework for client system evaluations.
• Enterprise teams:常态化 security monitoring.

Specific use cases: Regular production port scans/vulnerability checks; pre-deployment security header configuration reviews; CVE tracking for specific tech stacks; internal network topology discovery and baseline checks.

Deployment is simplified with Docker Compose (one-click setup). For production, docker-compose.release.yml enables horizontal scaling of Celery workers and FastAPI instances.

Extensibility: Developers can add new tools by creating files in backend/app/tools/ and registering them in agent definitions, supporting plugin-based expansion.

CMatrix represents an important direction for AI in security: combining AI agent collaboration with human oversight to enhance efficiency and coverage of security testing. Its open-source nature allows community contributions to expand features and use cases. It is a valuable platform for teams looking to improve security test automation, offering insights into technical architecture and security-first design for similar projects.