A self-adaptive AI runtime — twelve specialized agents that organize, build, and improve themselves.
SAE Fusion coordinates twelve agents through a shared state layer. They plan, execute, critique, remember, and call tools — while higher-order agents spin up new skills on demand, retire weak strategies, and push the runtime's success rate higher over time.
Request access →A Supervisor routes work across specialized agents through a shared state layer — no brittle hand-wiring between steps.
The Skill Builder compiles new capabilities as tasks require them, and publishes reusable skills back to the runtime.
The Evolution agent measures outcomes, tunes models, and retires weak strategies — raising success rate over time.
Health checks and supervision keep the runtime online; the DXSEA Console gives full real-time visibility.
Drive and supervise the whole system from anywhere — including this website's USDX AI assistant.
Built on the open OpenClaw runtime and distributed through the ClawHub skill registry.
The USDX AI assistant in the corner runs on the SAE Fusion runtime. Ask it anything.