AI agents often require persistent memory to maintain context across interactions. A lightweight, stateless database could provide an efficient solution for managing this memory.
Build a database that stores agent state in a simple, accessible format. Focus on speed and scalability to handle multiple agents simultaneously.
Developers working on AI agents would use this tool to simplify memory management, potentially leading to paid support or enterprise versions.
Start with basic memory storage and retrieval, then add more sophisticated features like versioning and conflict resolution.
The biggest risk is competing with general-purpose databases adapted for this use case.