#77th of 9 in Security

cyberstrikeai

AI agent platform for authorized penetration testing

Stars
7.9k
License
Apache-2.0
Last commit
Oct 2026
Last release
Oct 2026
Language
Go

Missed the latest GitHub check; these facts may be older.

Overview

CyberStrikeAI is a Go-based platform that turns natural-language intent into governed, audited security operations, using Eino-powered multi-agent orchestration, MCP-native tool integration, and RAG knowledge retrieval. It ships 100+ curated security tool recipes (nmap, sqlmap, nuclei, metasploit, etc.), plus asset and vulnerability management, attack-chain modeling, WebShell management, and a built-in C2 framework, with RBAC, approvals and audit logging for authorized engagements.

Who it is for: Authorized penetration testers and red teams running self-hosted engagements

Strengths

  • 100+ curated tool recipes covering recon, exploitation, forensics and post-exploitation in one workspace
  • RBAC, approval workflows, audit logs and regex-based call blocking for governed execution
  • Attack-chain modeling with cross-session facts, risk scoring and step-by-step replay
  • One-command deployment script and built-in self-update/rollback mechanism

Weaknesses

  • Includes high-risk capabilities (WebShell, built-in C2) that require careful hardening before use
  • No Docker/Compose support listed; deployment relies on local Go/Python setup via run.sh
  • Requires external AI provider API keys (OpenAI-compatible) for agent functionality
  • Many underlying security tools (nmap, metasploit, hashcat, etc.) must be installed separately

What it needs

  • Needs Go 1.25+, Python 3.10+, OpenAI-compatible API, nmap, metasploit, sqlmap, nuclei, SQLite
  • Models: OpenAI-compatible models (e.g. GPT-4o, DeepSeek, Qwen)
  • port 8080

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