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CyberStrikeAI

AI agents for authorized penetration testing and security operations

  • Security testing and OSINT
  • AI apps
View on GitHub

What it is

CyberStrikeAI is a self-hosted workspace that turns natural-language intent into governed security actions, combining AI agents, MCP tools, a RAG knowledge base, and visual workflows. It covers asset and vulnerability management, attack-chain modeling with replay, human approval steps, RBAC, and audit logging, plus WebShell and C2 features for authorized testing. Security teams and pentesters use it to plan, run, and review operations on systems they own or are authorized to test.

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Facts

Stars
7,916 GitHub stars.
7,916

Forks
1,637
Commits
2,412
Contributors
16
Language
Go
License
Apache-2.0
Last commit
Oct 19, 2026
On GitHub since
November 2025
First release
December 2025
Platforms
web, Linux, self-hosted
Self-hostable
Yes
Tags
  • multi-agent
  • mcp-server
  • penetration-testing
  • ai-agents
  • vulnerability-scanning
  • rag

Last synced from GitHub on Oct 20, 2026

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What people are saying

Updated Oct 20, 2026
  • Bluesky“Open source Go platform CyberStrikeAI: agentic security ops with MCP-native tools, RAG knowledge, attack-chain modeling, WebShell, and a Burp Suite plugin…”Oct 9, 2026 · 0 likes · 0 replies (opens Bluesky in a new tab)