AgentVault: Distributed Persistence for Local AI Agents

When we build AI agents today, we face a classic trade-off: privacy and performance (Local LLMs) versus persistence and portability (Cloud LLMs). If you're running agents locally using Ollama, you get incredible speed and data privacy. But the moment you move to a new machine, your agent’s context and memory are gone. Your agent has "dementia." Today, we’re bridging that gap with AgentVault. The Problem: The "Stateless Local Agent" Local agents usually their conversation history in a local SQLite database. This works fine on a single laptop, but it’s a silo.