brms does ignore the NAs exactly as it should. The problem is that there are too many NAs in your data so, in the end, there are no complete rows left. Depending on the level of missingness you could potentially model the missing data:
https://cran.r-project.org/web/packages/brms/vignettes/brms_missings.html
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