Perplexity adds virtual try-on and long-term AI memory

Perplexity introduces virtual try-on feature and long-term AI memory

Perplexity adds virtual try-on and long-term AI memory​

Perplexity has introduced two major upgrades to its platform: a subscription-based virtual try-on tool and a universal AI memory feature available to all users. Together, these additions expand the service beyond information search, positioning it as a more personalized and interactive assistant.

Virtual try-on: AI-enhanced clothing previews​

Subscribers can now use Perplexity’s virtual try-on experience by uploading a personal photograph. The system analyzes the image and overlays selected outfits directly onto the user’s body, generating a realistic preview of how different items would look when worn. The feature is designed to improve online shopping decisions and create a more immersive retail experience.

While the tool is currently limited to paid users, Perplexity aims to expand its clothing database and refine the photorealistic rendering pipeline. Early testers highlight the accuracy of lighting, fabric shape and color matching, which suggests the system uses a high-fidelity generative model for image completion.


Long-term AI memory for all users​

The second update introduces long-term memory capabilities, allowing Perplexity to store user preferences, habits and ongoing projects. Preferences for movies, recipes, study formats, travel ideas and work tasks can now persist across sessions, enabling the AI to deliver more tailored recommendations over time.

According to Perplexity, the memory system can maintain context for weeks, supporting multi-step workflows and long-running research projects. This shift moves the platform closer to functioning as a continuous digital assistant rather than a standalone query engine.


A step toward more personal and persistent AI assistants​

With these updates, Perplexity strengthens its position in the competitive AI assistant landscape. The combination of personalized visual tools and contextual memory reflects a broader industry trend toward assistants capable of ongoing, relationship-driven interaction. For users, this means more accurate recommendations and a smoother cross-session experience.

Analysts expect Perplexity to continue evolving its personalization features as AI models become more capable of handling persistent context, multimodal input and multi-week task planning. The update signals the company's intent to compete directly with next-generation assistants offering deep personalization and immersive utilities.



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