Persistent agent memory — long-term, searchable memory files for AI agents

Persistent agent memory — long-term, searchable memory files for AI agents targets a $6.0B = 1,000,000 AI-enabled teams x $6K ACV total addressable market with medium saturation and a year-over-year growth rate of 45% (AI developer tools and vector search adoption).

Key trends driving demand: LLM context limits -- forces external, persistent memory to enable long-term agent workflows and personalization.; Agentization -- more products are built as multi-step agents requiring state across sessions, increasing demand for memory stores.; Commoditization of vector DBs & embeddings -- lowers engineering barriers so a focused memory layer becomes viable and interoperable.; Privacy & compliance focus -- enterprises prefer managed solutions that provide governance, audit logs, and encryption for memory data..