Persistent AI session-memory using files, startup order, and correction logs (no DB)

Persistent AI session-memory using files, startup order, and correction logs (no DB) targets a $18.0B = 6M AI developers & knowledge workers x $3K ACV total addressable market with medium saturation and a year-over-year growth rate of 35% — growth in AI tooling, agent platforms, and embedding usage driving demand.

Key trends driving demand: agent-autonomy -- rapid growth in autonomous agent usage creates demand for persistent lightweight memory.; edge-and-on-device-ai -- capable local embeddings reduce need for cloud vector DBs, enabling file-first approaches.; cost-sensitivity -- teams facing rising vector DB and hosted model costs look for zero/low-cost alternatives..