This request proposes adding optional, session-scoped memory to secure chat sessions in Hatz AI. Allowing the system to retain relevant context across interactions would create a more continuous, user-friendly experience comparable to what users expect from leading AI platforms.

Problem

At present, secure chats in Hatz AI operate as isolated sessions with no retained context. Users must repeatedly re-explain background information, preferences, and ongoing work. This creates friction and discourages adoption of secure chat for longer workflows. Additionally, many end users are accustomed to memory-enabled experiences in other AI platforms such as ChatGPT. When they switch to Hatz AI’s secure chat, the lack of continuity feels like a step backward, reducing engagement and limiting the perceived value of the secure environment.

Proposed Solution

Introduce an optional memory system for secure chat sessions that allows relevant context to persist across interactions. Users should have explicit controls to enable or disable memory and to view, edit, or delete stored items. Memory categories should be configurable, allowing users to decide what types of information can be retained. All data must remain encrypted and isolated, maintaining Hatz AI’s existing security guarantees while enhancing usability.

Benefits

A persistent memory feature would significantly improve conversational efficiency and consistency. It would reduce repetitive setup, support ongoing workflows, and create a user experience aligned with what customers already expect from modern AI tools. By making secure chat feel more familiar and intuitive, Hatz AI can encourage wider adoption and deliver a more competitive, high-quality experience.

Use Cases

Teams working on multi-step projects could maintain evolving context across secure chats without starting from scratch. Support scenarios could preserve relevant details across multiple interactions. Professionals using Hatz AI for research, planning, or iterative drafts would benefit from persistent preferences and project history, allowing secure chat to match the fluid experience they are used to in other AI platforms.