Perplexity brings cross-model memory to its AI assistants
Perplexity just introduced a memory layer that remembers user preferences and key context across conversations. Instead of treating history like raw training data, it retrieves stored context directly for more tailored answers. The killer feature is context portability: your personal memory layer persists even when you hop between different underlying models, and it automatically disables in incognito mode.