SAT-Edge-Agent在ARM芯片上跑通卫星边缘智能体编排，延迟数据公开可复现，关心边缘AI的可以看看。
SAT-Edge-Agent是部署在商用ARM异构边缘芯片上的硬件在环智能体系统，用浏览器工作区和FastAPI协调本地OpenAI兼容语言服务与YOLO风格目标检测端点。两个FAIR1M固定工作负载各重复20次，完成20/20尝试。单图与双图任务的平均全智能体延迟为29.353秒和60.937秒，P95为31.166秒和66.882秒。检测器平均耗时861.386毫秒和1510.920毫秒，仅占全智能体平均时间的2.93%和2.48%。平均CPU利用率约20.761%和20.482%，公开证据包包含脱敏记录与复现脚本。
SAT-Edge-Agent: Hardware-in-the-Loop Edge-Agent Orchestration for Onboard Satellite Intelligence
Onboard satellite intelligence requires a task layer that translates mission intent into local tool calls, exposes execution state, and returns machine-consumable artifacts under communication and power constraints. We present SAT-Edge-Agent, a hardware-in-the-loop (HIL) edge-agent system deployed on a commercial off-the-shelf ARM-based heterogeneous edge system-on-chip. A browser workspace and FastAPI agent coordinate a local OpenAI-compatible language service with a project-internal YOLO-style oriented-object-detection endpoint that returns FAIR1M metadata-backed structured results. Two fixed FAIR1M workloads, one single-image and one serial two-image request, were repeated 20 times each and completed 20/20 attempts. Mean Full-Agent latency was 29.353 s and 60.937 s, with empirical P95 values of 31.166 s and 66.882 s. Mean detector time was 861.386 ms and 1510.920 ms, only 2.93% and 2.48% of the corresponding Full-Agent means. Profiling indicates that most visible latency occurs outside detector execution. Mean CPU utilization was 20.761% and 20.482%. A 200-ms NPU-load field averaged 100% for both workloads, but it represents a shared-accelerator software field rather than detector-only occupancy or calibrated utilization. The public evidence package provides sanitized request-level records, redacted JSON, normalized SSE examples, and scripts reproducing the reported statistics. These results establish a reproducible HIL boundary for observable satellite edge-agent orchestration, but do not establish detector accuracy, a new geolocation method, calibrated energy efficiency, or flight readiness.