Hello. It is not unusual to have a large drift of the conserved quantity when, as in you are case, you use an aggressive thermostat, as this affects the accuracy of the velocity verlet integrator (even though this is usually inconsequential in terms of observables).
Given that such a strong thermostat (langevin with tau=25fs) can be expected to slow down considerably sampling (see e.g. doi:10.1063/1.3518369) I strongly suggest you use a less aggressive thermostat, such as a stochastic velocity rescaling or a "smart-sampling" generalized Langevin equation thermostat, that is used in most of the i-PI examples (see doi:10.1021/ct900563s and
http://gle4md.org).
If you ever switch to path integrals, as I would given you're simulating water, `pile-g` is the thermostat you may want to use (global PILE, see doi:10.1063/1.3489925).
All of this said, usually drift is UP, and I am also worried by the fact you see it even with a time step of 0.2fs, which is way lower than what is usually needed for water (0.5 fs is pretty safe).
I suggest you run short trajectories with very weak thermostats (1ps tau on the barostat, and SVR as the main thermo). If there's still a large drift, there is probably a bug in the MBX driver,
that returns gradients that are inconsistent with the energy.
Try also to run in NVT: if you don't see a drift there, I'd put my money on a bug in the implementation of the stress - which might be as silly as using a different convention for the volume scaling than
the one that is expected by i-PI, in which case it should be easy to fix it.
So in short - if you still see a drift with weak thermostats, and/or you don't see a drift in NVT, this is a problem with the MBX driver, and you should get in touch with the MBX developers.
Cheers
Michele