What are the account storage limits for pumaDB?

Each account is limited to 20 tables, 1,000 rows per table, and a total storage capacity of 25 MB.

How does pumaDB handle memory edits and deletions?

pumaDB features natural edits where agents turn plain-language requests into filtered updates. Every update and delete archives the previous content, keeping the last 10 versions for 30 days for easy restoration.

Can I use pumaDB directly in my frontend application code?

No, API keys should not be exposed in client-side surfaces like React bundles, static sites, mobile apps, or browser code. The REST API should be called from trusted server-side or serverless environments.

pumaDB: A lightweight, database-free memory API layer for AI agents.

Name: pumaDB
Rating: 5 (60 reviews)
Author: toolify

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A lightweight, database-free memory API layer for AI agents.

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Jun 24 2026

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pumaDB Product Information

What is pumaDB?

pumaDB is a lightweight, hosted JSON memory layer and API designed specifically for AI agents. It provides a simple, shared place for agents to save and reuse notes, facts, user preferences, project context, transcripts, and task states across different sessions, tools, and chats. It eliminates the need for managing complex infrastructure like databases, vector stores, or custom RAG stacks, offering both a hosted Model Context Protocol (MCP) and a server-side REST API.

How to use pumaDB?

To use pumaDB, you can either connect via a hosted Model Context Protocol (MCP) endpoint by adding it to clients like Codex, ChatGPT, or Claude, or you can interact directly with its server-side REST API by utilizing a secure backend key to perform JSON row operations like remember, query, and update.

pumaDB's Core Features

Durable JSON memory without database setup or infrastructure management

Dual connectivity options via hosted MCP or a server-side REST API

Automatic version history saving the last 10 versions for 30 days

Natural language edits that translate plain text requests into filtered updates

Built-in safety rails including scoped table limits and per-key rate limits

pumaDB's Use Cases

Storing user preferences across separate AI agent chat sessions

Maintaining reusable operating instructions and project conventions for coding agents

Tracking task states, open threads, and handoff notes for long-running workflows

Saving research clippings, summaries, and links from continuous investigations

FAQ from pumaDB

What are the account storage limits for pumaDB?
How does pumaDB handle memory edits and deletions?
Can I use pumaDB directly in my frontend application code?

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