Zyrexnn/Cybermes

Autonomous Offensive Security, Bug Bounty & Red Teaming Agent Framework powered by Hermes Agent, specialized reasoning skills, and multi-model LLM orchestration.

What it solves

Cybermes is an autonomous offensive security and bug bounty automation framework. It solves the problem of manual, tedious reconnaissance and vulnerability research by automating the discovery of attack surfaces, the execution of security playbooks, and the generation of professional reports.

How it works

The project operates through two primary workflows:

  1. Autonomous Hermes CLI Workflow: Uses a built-in reasoning engine (Hermes Agent) to autonomously map attack surfaces, run CLI tools, and verify vulnerabilities using non-destructive Python PoC scripts.
  2. Model Context Protocol (MCP) Server Workflow: Acts as a JSON-RPC 2.0 server that allows external AI assistants (like Claude, Cursor, or Gemini) to call security tools and access a local knowledge base of 200+ offensive playbooks.

To prevent LLM context saturation, it uses a Go-based smart_pipe to filter raw tool outputs, streaming only high-signal data to the AI while archiving full logs to disk.

Who it’s for

It is designed for authorized bug bounty hunters, security researchers, and offensive security professionals who want to integrate AI-driven automation into their vulnerability research workflows.

Highlights

  • Native Go Toolchain: High-performance utilities for stream filtering, credential scanning, and report aggregation.
  • MCP Integration: Direct support for AI coding environments via the Model Context Protocol.
  • Extensive Knowledge Base: Over 200 modular offensive security playbooks (SOPs) for API, web, and cloud vulnerabilities.
  • Zero-False-Positive Gate: Requires standalone Python PoC scripts and raw HTTP traces before logging a finding.
  • Automated Reporting: Generates executive summaries in Markdown, JSON, HTML, and PDF formats.

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