Persistent AI memory — cumulative agent that retains knowledge across sessions

Persistent AI memory — cumulative agent that retains knowledge across sessions targets a $120.0B = 500M knowledge workers x $240/yr (subscription + tool spend for continuity/agent features) total addressable market with high saturation and a year-over-year growth rate of 30%+ annual growth in AI assistant/productivity tooling.

Key trends driving demand: LLM & embeddings maturity -- better retrieval-augmented generation makes stored memories actionable and reliable; Vector databases & managed infra -- lowered ops cost for persistent retrieval systems accelerates builds; Async & hybrid work -- demand for continuity across sessions and collaborators increases value of persistent memory; Composable AI ecosystems -- plugins/APIs enable integrations with docs, CRM, code, and increase stickiness.