Hachimi

slurmAgent makes running programs on supercomputers and research clusters much easier. Normally, users need to write complicated SLURM job scripts with the right settings for CPUs, GPUs, memory, and time, which is confusing and error-prone. With slurmAgent you just type a simple command like slurm python train.py, and the tool automatically creates and submits the job for you. It uses Gemini CLI to look at your command and suggest the best resources (like how many GPUs or how much memory you need), then monitors the job, shows live logs, and explains problems if something goes wrong. This way, even people new to SLURM can run jobs without worrying about the details.