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This study aims to test the reliability of SennoGait Technology in running gait analysis of recreational runners who are prone to running-related injuries (RRIs) due to repetitive stress and overload. This makes early detection of running gait abnormalities crucial, which is typically done through running gait analysis tools. The usual methods, including observational, two-dimensional, and three-dimensional, have limitations, and an emerging wearable gait analysis tool, SennoGait Technology, may offer a potential solution. Thirty recreational runners (18–45 years old, 160–170 cm in height, running weekly for at least 12 months and accumulating 15–20 km) participated. Each runner performed activities on a treadmill: a two-minute warm-up jog, three one-minute running trials at 2.27 m/s (with one-minute rest periods), and a two-minute cool-down walk. Data were recorded using the SennoGait application. The Intraclass Correlation Coefficient (ICC) was used to assess intra-rater reliability. Results showed that six parameters showed good reliability in both feet, two temporal (foot flat, pushing) and four spatial (heel-strike, strike inversion angle, toe-off angle, strike pitch velocity). Two temporal parameters (loading, swing) showed moderate-to-good reliability, and one spatial parameter (maximum eversion velocity) had good-to-excellent reliability. Additionally, two spatial parameters (eversion extent, toe-out angle) exhibited excellent reliability in both feet. Overall, most parameters demonstrated good reliability, indicating that SennoGait Technology has good intra-rater reliability. These findings suggest that SennoGait Technology is a reliable tool for assessing the running gait patterns of recreational runners and can be an alternative tool for running gait analysis in both clinical and research settings.