Unified memory & context manager for AI tools — token-optimized retrieval targets a $50.0B = 20M businesses x $2.5K ACV (enterprise & SMBs adopting AI tooling & memory services) total addressable market with medium saturation and a year-over-year growth rate of 35% (LLM tooling, vector DBs, and RAG adoption growth).

Key trends driving demand: LLM token cost pressure -- Organizations want to lower prompt size and API expense through summarization and selective retrieval.; Multi-agent & composable apps -- Agents and chains require persistent, consistent memory across tools, creating demand for a unified layer.; Vector DB & embeddings standardization -- Mature OSS and managed vector DBs reduce infra friction for memory products.; Privacy & data governance focus -- Enterprises demand traceability and consent controls for automated memory and personalization..