pumaDB

About

AI agent workflows often fail to retain important context across different sessions, tools, and conversations. Standard solutions tend to be either overly manual, such as transferring notes into documents, or excessively complex, like implementing a database, vector store, or custom RAG system. pumaDB provides agents with an easy, shared space to store and access notes, facts, preferences, project details, transcripts, task status, and other valuable memory. It requires no database configuration, vector database, or infrastructure management.