LLM sessions reset to zero — persist user state with a context-store

LLM sessions reset to zero — persist user state with a context-store targets a $18.0B = 10M development/product teams x $1,800 ACV total addressable market with low saturation and a year-over-year growth rate of 35%+ driven by enterprise LLM adoption and AI tooling spend.

Key trends driving demand: LLM centralization -- Teams embed LLMs into apps but face short-lived sessions and stateless APIs, creating demand for persistence layers.; Embeddings & vector DB maturity -- Affordable embeddings + hosted vector DBs reduce cost/latency of retrieval-augmented workflows.; Developer-first SDKs -- Rapid proliferation of LLM SDKs (LangChain/LlamaIndex) lowers integration friction for context stores..