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pumaDB: A lightweight hosted memory layer for AI agents to persist context across sessions

Stuart Sim

2d ago· 1 min readenProduct

Summary

pumaDB is a lightweight hosted memory layer designed for AI agents, allowing them to store and retrieve context (notes, preferences, task state, transcripts) across sessions via MCP or API. It aims to solve the problem of lost context in AI agent workflows without requiring complex infrastructure like vector databases or custom RAG stacks.

Source

Product HuntpumaDB: A lightweight hosted memory layer for AI agents to persist context across sessionsproducthunt.com

Key quotes

· 3 pulled

I built pumaDB because I kept running into the same problem with AI agents: they do useful work, then the useful context disappears into chat history, local files, Notion, GitHub, or some custom setup.

pumaDB gives agents a shared memory they can read and write through MCP or a server-side API.

It is intentionally lightweight. It is not trying to replace Postgres, vector search, or your production database.

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Most AI agent workflows lose useful context between sessions, tools, and chats. The usual fixes are either too manual, like copying notes into docs, or too heavy, like setting up a database, vector store, or custom RAG stack. pumaDB gives agents a simple

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