Each capability is one browser tab backed by one small relay (pure Python stdlib) that bridges to a real tool at arm’s length. Everything works in DEMO until you point it at the live tool; then it flips LIVE.
One person, one console — and this is the real surface underneath it. Six domains of security work, every tool wired back to the operator on the right. Toggle a domain, or click a hub to bloom the pieces it hands you. The density is the point: look how much real ground one person covers here.
The graph is the shape; this is the whole list. Each piece names what you actually do or learn with it — a port and kind tag where it has one. Demo until you point it at the live tool, then it flips live.
Third-party tools stay under their own licenses — AEGIS talks to them over local REST and bundles none of their source.
Full transparency on how this came together: AEGIS — the platform and this site — was built through a multi-agent AI process, directed by a human.
Claude Fable 5 ran the multi-agent build — writing, testing, and iterating the code — managed by a dedicated “AEGIS · Protocol 973” Claude agent that orchestrated the work: holding the branding and versions steady, verifying every change headless before it shipped, and coordinating the fleet of tools. Digital Orukami set the vision, made the calls, and reviewed it all. OpenClaw — the in-house multi-agent bridge — is being folded in to carry more of that orchestration over time.
Real tools, real verification, AI-accelerated. No smoke: that's the honest story of the vibes behind AEGIS. Meet the standing agent team on the Agents page.
Antisyphon Training — for opening the door to entry-level cybersecurity students and welcoming them into real, hands-on training. Honestly, this project wouldn't exist without exposure to everything they share — the whole idea of learn by defending traces straight back to their classes.
SkillBit — for sponsoring the CTF spirit behind AEGIS and giving ECHO Club a stack of pro access codes. That generosity is exactly why CTFs and hands-on training are built into the dashboard, not bolted on as an afterthought. Thank you.
REKCAH — for sponsoring ECHO Club with the black hacker sweater and helping students get to WWHF 2026. Thank you.
AEGIS stands on the shoulders of these projects — each installed by you and reached over a local bridge, none of their source bundled. Full credit and thanks to their authors and communities.
The AI research layer is sponsored by Tavily — live web search and retrieval for the agentic stack. Thank you, Tavily.
The Protocol 973 family — our own pieces, several splitting out into their own repos: AUSPEX (RF sight), Little MAE (the multi-agent analytics engine), The_Island, and more to come.
On the roadmap & kindred tools we lean on: Velociraptor · OpenCanary — planned to fold in for fun down the road.