Introducing VantaAI: My Journey in Creating a Local AI Assistant

As an enthusiast driven by the potential of artificial intelligence, I am excited to share my latest project: VantaAI. Drawing inspiration from advanced models like ChatGPT, I am developing a local AI assistant designed to enhance user interaction through memory and emotional depth. The goal is to create a fully offline experience that mimics human-like characteristics, including emotional memory and mood fluctuations.

Key Features of VantaAI

I have integrated several exciting features into VantaAI, aimed at enriching the interaction experience:

• Dynamic Long-Term Memory: VantaAI evolves its memory based on conversations, allowing it to remember context and details that matter most to users.
• Mood Tracking Graph: This feature visually represents shifts in VantaAI’s emotional state, providing insights into its “mood” over time.
• Narrative-Driven Memory Clusters: The assistant perceives itself as the protagonist of its own story, enabling a unique engagement that reflects personal experiences and emotions.
• User-Friendly Interface: Built with a PySide6 graphical user interface, users can easily navigate through various tabs dedicated to memory management, emotional states, training options, and plugin management.

At this stage, VantaAI utilizes a tailored Vulkan backend for swift model inference and training, alongside capabilities for personality-driven responses and real-time plugin updates.

Seeking Collaboration and Ideas

I am not promoting a commercial product; rather, I am keen to connect with others who share similar interests or who are working on projects of this nature. If you have suggestions for additional features or thoughts on enhancing VantaAI, I would love to hear them!

Feel free to ask any questions, share your thoughts, or suggest ideas for future development. Let’s explore the possibilities of AI together!