Persistent, queryable long-term memory for AI agents

Persistent, queryable long-term memory for AI agents targets a $9.6B = 160K potential buyer teams × $60K ACV (AI memory & infra across enterprise and mid-market) total addressable market with medium saturation and a year-over-year growth rate of 35-45% YoY (vector DB and LLM infrastructure growth; sources: industry reports and funding trends for vector-search firms and AI infra vendors).

Key trends driving demand: LLM and agent adoption — as organizations embed LLMs into products, they require persistent context to maintain continuity and personalization.; Shift from experimentation to production — teams are moving from prototyping to production, creating demand for stable, managed memory infrastructure.; Cost-aware architectures — as embedding and inference costs decline, product teams invest in memory layers that reduce repeated calls to LLMs and improve latency..