Penn student launches AI platform designed to remember user conversations, identify patterns

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A Penn undergraduate student recently launched their artificial intelligence assistant designed to remember users across multiple conversations.

Engineering junior Jonathan Wallace created and launched Engram, an AI assistant that builds a persistent model of a user’s goals, projects, and thinking patterns. According to Wallace, the platform — which went live on March 28 — has already amassed over 1,000 active users.

In an interview with The Daily Pennsylvanian, Wallace explained that Engram aims to address a core limitation in existing AI tools — their inability to retain and meaningfully use long-term user context.

“They’re really, really good general assistants, but if a person was trying to get assistance with writing, they have to explain their style over and over,” Wallace said.

Wallace initially developed Engram as a personal tool before expanding it into a broader product. According to him, the platform is designed not just to store past interactions, but to build a deeper understanding of how a user thinks.

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“The core difference is what this does with the memory,” he said. “With most assistants, memory is just like a sticky notepad.”

Unlike existing systems that primarily log past conversations, Wallace said Engram uses memory to identify patterns across a user’s work and goals, allowing it to generate more personalized responses and even initiate conversations.

“We track things like the Big Five personality traits as probability distributions, a nine-factor semantic memory system, and a personalized intelligence briefing around your priorities every morning,” Wallace said.

Wallace explained that most of Engram’s current users are…

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