The distributed computing systems place greater demands on incremental state recognition， node consistency synchronization， and seamless service switching during continuous task running. However， the existing mechanisms still have limitations in awareness of cluster state structure， node consistency control， and controllable service version switching， which hinder stable service running under frequent state evolution. Therefore， Zynco was proposed， a lightweight and distributed framework for runtime state coevolution. Zynco was designed with three core mechanisms： a fingerprint-based and structure-aware incremental recognition mechanism， by which only effective state changes were transmitted and a sliding version chain was maintained； a feedback protocol combining User Datagram Protocol （UDP） multicast with Transmission Control Protocol （TCP） control channels， to achieve efficient distribution and acknowledgment of state among multiple nodes； a three-layer service structure with listener-based routing， thereby enabling smooth service switching and consistent rollback. Experimental results show that， in a 20-node cluster， Zynco requires only 27 s to complete state synchronization for incremental updates involving 54 GB of file data， without task interruption or state tearing during service switching； under a 1 000 QPS （Queries Per Second） load， Zynco has the response jitter time below 8 ms. It can be seen that Zynco is efficient， stable， controllable， and can provide good operational support for state?driven distributed high?performance services in massive?data collaborative update scenarios.