A scheduling SaaS that detects, diagnoses, and repairs its own safety defects — and gets faster every time it sees one.
Regenesis runs a real product, MedShift (hospital shift scheduling), under a live self-healing loop. When a defect ships, the app's oracle surfaces genuine violations, an agent running on Guild recalls whether it has seen the failure before via Actian VectorAI DB, patches the rule that caused it, and verifies. Replay Loop QA explores the deployment as the external quality gate. The app's health is rendered as a patient monitor: the ECG trace is the open-finding count. Sabotage reads as arrhythmia; healing returns it to sinus rhythm.
Theme: self-evolving agents. The genome is a mutable rules config; memory is a vector collection; natural selection is externally-judged QA.
All three integrations are live. No mocks in the paths described below
Guild — Best use of agentschineseman~regenesis-healer is published and running on Guild, driving a real external application.
Replay — Best SaaS app with completed QAMedShift is a genuinely designed SaaS for a complex domain (certification, rest windows, overtime, consecutive days, coverage minimums), and Replay Loop QA is the external gate on the real deployment.
Actian — Best use of Actian VectorAI DB
Actian is the agent's memory — what makes this evolution rather than retry.
