Store, retrieve, and reuse context across sessions so your agents can remember users, preferences, history, and important events.
Give agents durable memory that survives beyond a single conversation.
Retrieve the most relevant memories automatically when agents need them.
Maintain continuity across sessions, workflows, and agent interactions.
MemoryBase is building simple infrastructure for long-term AI agent memory, with APIs for writing, searching, and retrieving structured and semantic context.
We are currently building the first version of MemoryBase. If you are working on agents that need persistent context, reach out.