Agent memory pain - three layer memory (short, episodic, long) instead of raw chat history

Agent memory pain - three layer memory (short, episodic, long) instead of raw chat history targets a $3.0B = 60,000 mid-market and enterprise developer organizations x $50,000 ACV (annual hosted agent memory + orchestration and support) total addressable market with medium saturation and a year-over-year growth rate of 30-40% (developer AI infrastructure and agent adoption growth).

Key trends driving demand: agent-adoption -- teams are building autonomous agents for workflows, increasing demand for persistent memory; vector-db maturity -- production-ready semantic stores reduce the cost of long-term retrieval but require orchestration; prompt-cost pressure -- rising token costs force companies to filter and cache context before calling LLMs.