Introducing AI assistants with memory
Blog post from Perplexity
Perplexity has introduced enhanced personalization and memory features for its Comet Assistant, designed to retain users’ preferences, interests, and relevant conversation details across interactions. Rather than relying solely on broad language-pattern predictions, the system retrieves pertinent information from a user’s encrypted memory store to produce more precise and individualized responses, such as travel suggestions, shopping recommendations, or follow-up advice. The feature aims to reduce the need for users to repeatedly provide context or manually summarize past discussions, while allowing context to persist across the different AI models available on the platform. Users retain control over memory settings, including the ability to disable memory, use incognito mode without saving memory or search history, and opt out of data use for model improvement.
| Trend | Post Mentions | Total Month Mentions | Posts | Companies | MoM |
|---|---|---|---|---|---|
| AI Agents | 1 | 4,878 | 816 | 233 | +24% |
| Agent Context Engineering | 1 | 221 | 48 | 28 | +69% |
| LLM | 1 | 5,292 | 889 | 238 | +7% |
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