CyberStrikeAI is a full-stack, AI-native cybersecurity operations platform designed for autonomous penetration testing and red teaming. It orchestrates multiple AI agents using the CloudWeGo Eino ADK framework to plan and execute complex security assessments. The platform manages its own C2 (Command & Control) infrastructure with encrypted beacons and listeners, integrates with over 100 security tools via the Model Context Protocol (MCP), and maintains a persistent knowledge base and project fact graph. It features a comprehensive governance layer including Role-Based Access Control (RBAC), Human-in-the-Loop (HITL) approval workflows, tool execution guards, and detailed audit logging. The architecture is a monolithic Go-like backend serving a web SPA, with plugins for Burp Suite and Chrome. It supports multi-agent orchestration modes (single, deep, plan-execute, supervisor), a graph-based workflow engine, and integrations with various chat platforms (WeChat, Discord, Telegram). The codebase demonstrates high craftsmanship in its execution governance, process isolation, atomic update mechanism, and database schema reconciliation. A significant technical concern is the use of a non-standard Go dialect (featuring `func`, `type`, and `map` literals) tied to the Eino framework. This creates a hard dependency on a specific toolchain and represents a major drift risk from the standard Go ecosystem, limiting portability and the ability to use standard tooling. Despite this, the project is actively maintained with extensive test coverage and a clear focus on production-grade security automation.