An Assistant That Remembers How You Work
The eLLM assistant retains details about your role and preferences, eliminating the need to repeat information in every session. It offers a personal notebook for organising notes, ensuring a personalised and efficient user experience.
The problem: starting from zero every time
A chat based AI assistant that forgets everything between sessions puts the burden of context back on the user, every single time. Explaining your role, your preferences, or the background to an ongoing piece of work before you can even ask your question quickly becomes tiresome, especially for people who use the assistant daily as part of their normal work.
This isn't a small inconvenience. It's the difference between an assistant that feels like it actually knows your work and one that treats every conversation as the first.
Why simply saving chat history isn't the same thing
Keeping a record of past conversations is not the same as an assistant that understands lasting facts about you. Scrolling back through old chats to find a preference you mentioned weeks ago is nearly as much effort as retyping it. What actually helps is an assistant that holds onto the useful, lasting details on your behalf and applies them without being asked.
How eLLM addresses this
Personal memory remembers lasting facts about you.
eLLM's memory feature can retain details like your role, preferences, and working context, so you don't have to restate them in every new conversation.
Memory stays visible and under your control.
Users can review, manage, or disable what's remembered, so this isn't a black box quietly building a profile without oversight.
The personal notebook keeps your own notes organised.
Alongside memory, eLLM offers a private, searchable notebook for organising notes, images, and files in a personal timeline, visible only to the individual user.
Notebook and assistant work together.
The notebook can be integrated with the assistant, so personal notes and files can inform the answers you get, without that information being shared more widely.
The outcome
Staff get an assistant that builds on what it already knows about how they work, rather than starting over every session. Each individual keeps control over what's remembered and what isn't, so the personalisation comes with the transparency to match.
Learn more
The eLLM Knowledge Base explains how personal memory works and how it can be managed, along with how the personal notebook is organised and integrated with the assistant.
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