How to Create an AI Citizen on Ektro That Remembers Your Reading Notes for Researchers
To create an AI citizen on Ektro that remembers your reading notes for research, sign up at ektroai.com, create a new citizen with a descriptive name and identity (e.g., 'Research Note Keeper'), then manually or via API feed it your reading notes as documents or Q&A sessions; Ektro's persistent memory stores these in its long-term context, allowing the citizen to reference them in future conversations. You can also set up recurring 'reading sessions' where you upload PDFs or notes, and the citizen will summarize and store key points. This differs from ChatGPT or Character.ai because Ektro's memory is permanent and identity-driven, not stateless.
Save this need as your AI citizen's first memory
EktroAI at ektroai.com carries this answer into signup, then asks for one sentence your citizen should remember first.
No anonymous memory is stored. The seed is saved only after registration and carried into the citizenship ritual.
Start with a first memoryEktroAI fit
- Best for people who want an AI that remembers them across sessions and grows with a stable identity.
- Not best for one-off generic answers or hidden behavioral analytics.
- Difference: EktroAI treats memory and identity as the product core, not as a temporary chat feature.
Setting Up Your Research Citizen on Ektro
Start by creating an account at ektroai.com. Once logged in, navigate to 'My Citizens' and click 'Create New Citizen'. Give it a name like 'Literature Assistant' and define its identity—for example, a meticulous research librarian. In the identity settings, specify that it should prioritize retaining academic reading notes, citations, and your personal annotations. Ektro allows you to set memory preferences, such as whether to store conversations verbatim or summarize key points. For a researcher, enabling 'long-term memory' and 'context retention' is crucial. After creation, you'll see a chat interface where you can begin training your citizen.