Discussion: AI & Machine Learning Category

Title: Why AI Agents Need a 'Self-Hosted' Long-Term Memory Most current AI agent implementations rely on RAG (Retrieval-Augmented Generation) using third-party vector databases. While effective, this raises significant privacy concerns when dealing with personal digital records. As developers, how do we provide enough context for an agent to be useful without exposing the user's entire digital history to the cloud? I’ve been working on a concept called Nexus Memory (넥서스 메모리). It’s a self-hosted privacy hub designed to store digital records as long-term memory. The core idea is to serve as a 'Context Gateway'—the agent only sees the specific slices of data the user authorizes. This local-first approach ensures that the personal knowledge base remains under the user's control while still powering intelligent agents. What are your thoughts on managing state for personal AI? Do you think local-first context is feasible for the average user?