agentic-offensive-orchestration

Goal: Coordinate multiple autonomous AI agents (sub-agents) and MCP tools to conduct persistent, adaptive red team operations across contexts.

When this applies

• Acting as a Supervisor orchestrating a multi-agent engagement.
• Structuring MCP servers as Command & Control (C2) interfaces.
• Engagement scales beyond a single context window and requires state sharing across isolated agents.

Multi-Agent Topologies

Pick one deliberately before spawning workers. Mixing them ad hoc breaks context isolation.

Hierarchical (Supervisor–Worker)

• Workers strictly scoped to one role (offensive-web-role, offensive-linux-role, …).
• No lateral traffic — workers report only to the Supervisor.
• Pass only what the worker needs (target URL + vuln class, not the full Nmap report).