TeXposit vs Wolbarg

Transparent, Human-First, AI-Assisted Writing in Academia. TeXposit is the modern collaborative LaTeX, Markdown and LaTeX+Markdown Hybrid editor. TeXposit features an...

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

About TeXposit

Transparent, Human-First, AI-Assisted Writing in Academia. TeXposit is the modern collaborative LaTeX, Markdown and LaTeX+Markdown Hybrid editor. TeXposit features an advanced AI writing assistant, built-in reference management, live collaboration features, built-in provenance and more. A real LaTeX engine runs client-side and recompiles as you type. The last good render stays on screen while the next one builds. Connect Ollama to use models running on your own machine directly. Share a tamper-proof report showing who wrote what and how much was AI-assisted.

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).