ThreadKeeper explores how OmegaClaw-style agents can sustain a long-running thread in a resource-aware, decentralized way. Rather than running premium reasoning on every loop, it decouples reasoning quality from reasoning frequency: a cheap, persistent local loop handles control, continuity, memory, and escalation decisions; a local worker loop iterates cheaply; and cloud specialists are called only for hard subproblems. This collapses cost, improves persistence, removes single points of failure, and supports human oversight and governance (ISO/IEC 42001-friendly). The model examples shown are just examples — the architecture stays open and configurable.