VibeDrift vs Wolbarg

Your AI agent gets worse as your project grows. VibeDrift catches the drift, fixes it, and gives your agent the context to stop making it.

Why most local multi-agent workflows don't need PostgreSQL for semantic memory, and when they actually do.

About VibeDrift

Your AI agent gets worse as your project grows. VibeDrift catches the drift, fixes it, and gives your agent the context to stop making it. See exactly how it works, free to use and fully public. Mid-task, Claude Code and Cursor ask your codebase what it already does, and get an evidence-backed answer in under a second. With and without VibeDrift, graded by an independent pass, it only changes things when the model would've gotten it wrong, and we show where it did nothing.

About Wolbarg

Why most local multi-agent workflows don't need PostgreSQL for semantic memory, and when they actually do. When people build an AI application, the database choice looks obvious: PostgreSQL, maybe Redis for caching, maybe pgvector for semantic search. This post is about that decision, and why SQLite is often the better fit for local multi-agent workflows. Local agents usually run on one machine, one process, maybe a handful of agents sharing context. Strip away the marketing and the list is short: low latency, simplicity (no migrations, users, or roles to wrestle with), local execution (offline works, no cloud bill), reliability (transactions, not half-written memories), and persistence (a file you can copy, back up, or delete).