Features

🚀 What does Memobase offer?

Memobase is a Backend: It offers a solution for managing dynamic profiles of users for your AI.
User Analysis from AI: It helps maintain user profiles by collecting and storing various aspects of user information such as age, education, interests, and opinions.
Build Personalization: This allows developers to better understand their users and enhance user engagement with their applications.
Scalable and Fast: Memobase is designed to be scalable and fast at querying.

Customized Slots: Memobase allows you to customize what kinds of things you want to extract from user interactions.
Predictable Results: A user profile is highly structured and predictable, which makes it easier to analyze and utilize.
Simple yet Enough: Just a series of topic/subtopic(e.g. interests/movies) table for each user. Human-readable and enough to contain memories.

Remembering Users: By integrating user profiles into AI systems, Memobase allows applications to remember user-specific information, which can be used to personalize interactions.
User Analysis and Tracking: Memobase provides a method to track and analyze user preferences and behaviors based on their interactions with AI, offering insights that can be used for improving user experience.
Targeted Advertising: By understanding user profiles, Memobase can help in delivering personalized advertisements or recommendations that align with user interests and needs.

Memobase operates by storing user data as “blobs” that can be inserted, retrieved, and deleted.
It uses a buffer zone to temporarily hold recent data, which is then flushed into long-term memory either automatically (when the buffer is full or idle) or manually (e.g., at the end of a chat session).
This process allows Memobase to build comprehensive user profiles over time, which can be accessed and utilized by applications to enhance user interactions.

You can check the performance here