We are thrilled to announce the release of a groundbreaking feature in our latest version: Memory. This feature is designed to enhance your experience by providing personalized and context-aware interactions with AI. Memory operates on three distinct levels: Team, Board, and User. Let's explore how each level functions to cater to your specific needs.

Team-Level Memory

At the core of Team-Level Memory is the ability to establish a shared knowledge base across your organization. This includes your team's background, essential information, and organizational knowledge. Once set, this memory becomes accessible to all projects, including rooms and boards, ensuring that every team member benefits from a unified understanding of your team's objectives and knowledge.

Board-Level Memory

Each collaborative board comes with its own specific goals and scenarios. Board-Level Memory allows you to set up tailored knowledge and background for each board. This means that when you and your team collaborate, the AI assistant can provide more relevant and context-specific support, aligned with the board's unique objectives.

User-Level Memory

User-Level Memory is all about personalization. It follows your personal preferences, background, and knowledge. Each user can contribute their unique perspectives and ideas, enabling the AI to adapt its responses based on your individual insights. This ensures a personalized interaction every time, as the AI integrates your organizational, personal, and current board context to deliver more accurate and contextually appropriate answers.

Current Capabilities

Right now, Memory allows you to add and manage text-based knowledge easily. The user interface is straightforward, enabling users to directly add or remove text from the memory list. Team settings allow revisions, and user profiles can be updated to reflect personal memory preferences.

Ideas for Memory Enhancement

We are committed to continuously improving the Memory feature, and here’s what you can expect in the near future:

Enhanced Memory Inputs

• Drag and Drop Files: Soon, you’ll be able to add files as vector memory, enriching the knowledge base beyond text. This will provide a more robust and diverse set of information for the AI to draw upon.

Automated Memory Integration

• AI-Driven Capture: We are working on automating the memory addition process. AI will intelligently capture and integrate relevant information at the organizational, team, and individual levels, minimizing manual input and enhancing efficiency.

Memory Management

• Memory Sorting: Like human memory, AI's memory needs refining. We're developing features to help sort and simplify memories, allowing significant information to be easily accessible and manageable.

These enhancements are part of our roadmap to make Memory an even more powerful tool for personalized and context-aware interactions. Stay tuned for these exciting updates, which will further amplify your collaborative and individual experiences.

We are excited to see how this feature will elevate your collaborative experiences and look forward to your feedback.