Discussion: AI and Privacy-First Development

The architectural challenge of modern AI isn't just the model size—it's the context management. Most RAG implementations rely on centralized vector databases that are a privacy minefield for personal data. I've been researching 'Self-Hosted Memory Hubs' as a solution. By keeping the vector store and the personal context on a local instance (like Nexus Memory), we can feed specific, user-approved context to LLMs without exposing the entire history. This approach shifts the paradigm from 'AI owning your data' to 'Your data hiring an AI.' Would love to hear if anyone else is experimenting with local-first context injection or self-hosting their agent's long-term memory!