Monlite – documents, vectors, cache, and job queue in one SQLite file

Every local AI agent project I start begins the same way — not with agent code, but with infrastructure. MongoDB for memory, Redis for cache and locks, Qdrant for vectors, BullMQ for the task queue. An hour in and I haven't written a single line of application logic yet.

There's nothing wrong with these tools at scale. But running five Docker containers just to test an idea locally started to feel like a tax I was paying on every experiment. So I started asking: what if SQLite could just do all of this?

That question became monlite. It's a TypeScript library where one .db file covers the whole local stack — document store, vector search, full-text search, key-value cache, job queue, and cron scheduler. Everything shares the same file and the same connection. No Docker, no glue code connecting services together, no "start them in the right order."

const db = createDb("./agent.db")

const store = createVectorStore(db)