Environmental DNA (eDNA) is increasingly used for monitoring marine organisms; however, offshore sampling and time lag from sampling to results remain problematic. In order to overcome these challenges a robotic sampler, a 2nd generation Environmental Sample Processor (ESP), was tested for autonomous analysis of eDNA from four commercial fish species in a 4.5 million liter mesocosm. The ESP enabled in situ analysis, consisting of water collection, filtration, DNA extraction and qPCR analysis, which allowed for real-time remote reporting and archival sample collection, consisting of water collection, filtration and chemical preservation followed by post-deployment laboratory analysis. The results demonstrate that the 2G ESP was able to consistently detect and quantify target molecules from the most abundant species (Atlantic mackerel) both in real-time and from the archived samples. In contrast, detection of low abundant species was challenged by both biological and technical aspects coupled to the ecology of eDNA and the 2G ESP instrumentation. Comparison of the in situ analysis and archival samples demonstrated variance, which potentially was linked to diel migration patterns of the Atlantic mackerel. The study demonstrates strong potential for remote autonomous in situ monitoring which open new possibilities for the field of eDNA and marine monitoring. Analysis of aquatic environmental DNA (eDNA) has gained momentum in recent years due to the method´s potential for rapid and cost-effective biomonitoring circumventing collection and visual identification of living specimens 1-3. This has led to much research over the past decade in relation to detection and quantification of aquatic macro-organisms in both freshwater 2,4,5 and more recently in marine environments 1,3,6. Despite the apparent benefits, eDNA surveys still require manual sampling of water at designated sampling sites, which constrains eDNA based marine monitoring in remote and offshore areas due to the associated boat-costs 7,8. Such limitations also prevent the acquisition of standardized eDNA time series on a scale from days to months, potentially leading to failure to detect important temporal and spatial changes in species occurrence and abundance, which is of particular relevance for rare and migratory species 9. Moreover, there is presently a considerable time lag in eDNA from field sampling to the result is available which delays and hampers management efforts. Despite the apparent need for time series and real-time data to accurately monitor and manage larger organisms in the oceans, completely autonomous in situ sampling, analysis and remote reporting of eDNA has not been conducted so far 10. One field of marine monitoring where the potential of eDNA has been highlighted as a valuable supplement or even replacement for existing monitoring methods is in relation to marine fisheries 3,11. Here, extensive monitoring is conducted worldwide in order to describe spatial and temporal dynamics of fish stocks, which is key for sustainable resource m...