Building a Local AI Assistant: Progress on VantaAI

As a developer passionate about artificial intelligence, I’ve embarked on an exciting journey to create my own local AI assistant, which I’ve named VantaAI. This endeavor is inspired by the capabilities of ChatGPT, but my aim is to design a system that operates entirely offline, bringing a personal touch to AI interactions by incorporating elements such as emotional memory and mood fluctuations.

Key Features of VantaAI

Over the course of this project, I have implemented several intriguing features that I’m eager to share:

• Evolving Long-term Memory: VantaAI is designed to remember conversations and adapt its responses based on context, allowing for a richer, more personalized experience.

• Mood Tracking: An innovative mood graph tracks emotional shifts over time, helping the assistant not just recognize but also simulate varying emotional states.

• Narrative-driven Memory Clustering: With a unique perspective, VantaAI perceives itself as the “main character” in its own story, allowing for a narrative framework that influences how it recalls memories and interacts with users.

• User-Friendly Interface: The assistant features a PySide6 GUI, complete with tabs dedicated to memory management, training, emotional state display, and plugin management, facilitating smooth navigation and usability.

Performance Optimization

To ensure that VantaAI operates efficiently, I’ve integrated a custom Vulkan backend that supports rapid model inference and training. This technical choice not only enhances performance but also enables personality-tailored responses and live plugin hot-reloading for more dynamic functionalities.

Seeking Input and Ideas

I want to clarify that I’m not looking to monetize this project or promote a product. Instead, I’m genuinely interested in connecting with others who share similar interests or have insights about AI development. If you’re working on something comparable or have suggestions for features that could enhance VantaAI, I’d love to hear your thoughts!

I’m also open to answering questions about my development process, the technology utilized, or any aspect of the project that piques your curiosity.

Let’s collaborate and push the boundaries of what local AI assistants can achieve!