Method for managing the file system of a computer terminal comprising a processor and one or more fast primary memories (23 to 28) and one or more secondary mass memories, said method comprising steps of periodically calculating the primary or secondary addressing of a digital file to be recorded, to be read or modified according to a periodically recalculated control rule to minimize the volume of the data transferred between the fast primary memory and the secondary mass memory and to minimize the local cache fault, characterized in that • said step of calculating the addressing depends on metadata present in said digital file to be processed, on the access history of said file to be processed and on the local tree structure of the files, • said rule is determined from a reference rule, recalculated in the background, by processing depending on the uses of the user, to control the copying of a remote file to the primary memory before the request for access to the file, and to erase the files recorded in said primary memory for which said rule determines a use indicator below a threshold value, • and in that said method comprises steps, which were carried out in the background, of copying the files recorded on said fast primary memory (23 to 28) onto said secondary mass memory, • and in that at least some of the controls for modifying a file recorded in the secondary memory cause the downloading of the part of said file to be modified to the local memory, to unlock the part of the file to be modified on the primary memory, to modify said part of the file to be modified, to lock said part of the file and to resynchronize the secondary file with the primary file • in that it comprises background grouping preprocessing carried out at the time of actions on the files (log), for training a neural network on these logs, and from a pre-trained network for calculating a digital indicator corresponding to the future probability of use for each of the files, the addressing of a file being determined by applying a combinatorial optimization algorithm applied to said digital indicator of probability of use and local memory and network communication characteristics • said background pre-processing controls the grouping of the log information according to a proximity criterion (vector embedding) or on the basis of a vector distance indicator between said files. • said step of calculating the addressing depends on metadata present in said digital file to be processed, on the access history of said file to be processed and on the local tree structure of the files, • said rule is determined from a reference rule, recalculated in the background, by processing depending on the uses of the user, to control the copying of a remote file to the primary memory before the request for access to the file, and to erase the files recorded in said primary memory for which said rule determines a use indicator below a threshold value, • and in that said method comprises steps, which were carried out in the background, of copying the files recorded on said fast primary memory (23 to 28) onto said secondary mass memory, • and in that at least some of the controls for modifying a file recorded in the secondary memory cause the downloading of the part of said file to be modified to the local memory, to unlock the part of the file to be modified on the primary memory, to modify said part of the file to be modified, to lock said part of the file and to resynchronize the secondary file with the primary file • in that it comprises background grouping preprocessing carried out at the time of actions on the files (log), for training a neural network on these logs, and from a pre-trained network for calculating a digital indicator corresponding to the future probability of use for each of the files, the addressing of a file being determined by applying a combinatorial optimization algorithm applied to said digital indicator of probability of use and local memory and network communication characteristics • said background pre-processing controls the grouping of the log information according to a proximity criterion (vector embedding) or on the basis of a vector distance indicator between said files.