Although increasingly presented by mainstream actors as key pillars of a transition toward sustainable agriculture, digital decision-support tools (DDST) can face criticism from agricultural networks defending a radical view of agroecology. Indeed, DDST can be perceived as supporting dynamics of agricultural industrialization or threatening farmers’ decisional autonomy. This perception is strengthened by the fact that farmers are rarely involved in the initial design of DDST. Nevertheless, DDST can also be considered as promising options to support the design and management of agroecological systems which are knowledge-intensive and complex. Our objective was to explore the characteristics of a DDST that could match the specific expectations of agroecology networks.