Most AI agent workflows lose useful context between sessions, tools, and chats. Common fixes are either very manual, like copying notes into Docs, or very heavy, like setting up a database, vector store, or custom RAG stack. pumaDB gives agents a simple shared space to save and reuse notes, facts, priorities, project references, transcripts, work status and other useful memory. No database setup, vector DB, or infrastructure to manage
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