Persistent agent sessions via file-like state stores for multi-session AI work

Persistent agent sessions via file-like state stores for multi-session AI work targets a $28.8B = 5,000,000 businesses x $5,760 ACV (annual subscription for agent-state & orchestration for broad enterprise/dev tooling) total addressable market with medium saturation and a year-over-year growth rate of 40% (agent/automation tooling & vector/embedding infra growth).

Key trends driving demand: Retrieval-augmented generation -- wider adoption makes persisted state and indexed memories directly useful in production agents.; Agent frameworks & composability -- frameworks like LangChain accelerate agent development and therefore increase demand for persistent state tooling.; Context-window & embedding optimization -- better summarization and chunking lets large histories be useful instead of costly repeated prompts.; Shift to reproducibility/auditability -- enterprises require versioned, explainable agent output and trails of decisions..