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 store their conversation history in a local SQLite database. This works fine on a single laptop, but it’s a silo. You can’t easily share that state with other developers, and you lose it if you switch devices. The Solution: A Syncable distributed Brain AgentVault is a Python SDK that lets you run agents locally while automatically synchronizing their state to a Hugging Face Bucket . How it Works: Sync Pull: Before the agent starts, it pulls the latest .db from the remote bucket. ### 2. Universal Persistence While we default to local LL