CyberStrikeAI and CyberStrike
These are likely **competitors** — both are AI-native security orchestration platforms automating pentesting workflows, though CyberStrikeAI appears more mature (2,785 stars vs. 5) with broader tool integration (100+ vs. 120+ test cases) and a more established feature set (roles, skills), making them substitutable rather than complementary solutions.
About CyberStrikeAI
Ed1s0nZ/CyberStrikeAI
CyberStrikeAI is an AI-native security testing platform built in Go. It integrates 100+ security tools, an intelligent orchestration engine, role-based testing with predefined security roles, a skills system with specialized testing skills, and comprehensive lifecycle management capabilities.
Based on the README, here's a technical summary that goes deeper: --- Uses native MCP (Model Context Protocol) with HTTP/stdio/SSE transports and external federation to connect AI agents directly to security tools, enabling conversational control flow through an orchestration engine that supports multi-agent delegation patterns (Eino DeepAgent). Includes vector-search knowledge base, attack-chain graph replay with risk scoring, WebShell management for post-exploitation, and optional Burp Suite integration via plugin architecture; persists all audit trails and task queues in SQLite with password-protected web UI. --- **Word count: ~65 | Key technical details**: MCP protocol variants, multi-agent orchestration, vector search, attack graphs, WebShell C2 capabilities, plugin extensibility, SQLite backend
About CyberStrike
CyberStrikeus/CyberStrike
AI-powered offensive security agent. Autonomous pentesting with 4 specialized agents, 120+ OWASP test cases, and Kali Linux integration. Your AI red team operator.
Operates as a multi-agent framework with 13+ specialized security agents (web application, cloud, mobile, infrastructure) that inject domain-specific methodology—OWASP WSTG, CIS benchmarks, MASTG/MASVS—directly into LLM reasoning rather than relying on generic chat models. Supports 15+ LLM providers (Claude, GPT-4, Gemini, Bedrock, Groq, DeepSeek, Ollama, and OpenAI-compatible endpoints) with provider auto-detection and schema normalization, enabling offline-first deployments on air-gapped networks. Includes Bolt, a remote tool execution system for distributing security tools across infrastructure via Ed25519-authenticated servers, and integrates with the MCP ecosystem for extensible tool orchestration.
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