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AI agent memory, simplified. No database admin needed

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Tracked since2026
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The Bottom Line

Entry price

Free plan available, paid tiers above

Biggest pro

Eliminates the need for manual database setup and management for agent memory.

Biggest con

Memory storage is deliberately small and explicit, which might not suit very large data storage needs.

TL;DR - pumaDB

  • Provides a memory API for AI agents to store and retrieve JSON data.
  • Offers both hosted MCP for agents and a REST API for server-side applications.
  • Simplifies memory management with built-in versioning, limits, and natural editing capabilities.
Pricing: Free plan available
Best for: Growing teams

What is pumaDB?

Editorial review
pumaDB provides a specialized API for AI agents to store and retrieve structured memory, eliminating the need for developers to set up and manage traditional databases. It allows agents to remember facts, settings, task states, and other JSON records across sessions, making their interactions smarter and more consistent. The service offers both a hosted Managed Connector Protocol (MCP) for direct agent integration and a REST API for server-side applications. Designed for simplicity and agent-specific use cases, pumaDB supports various memory types like user preferences, project conventions, and research clippings. It includes built-in safety features such as scoped table limits, rate limits, and automatic version history, ensuring memory is manageable and reviewable. This tool is ideal for developers building AI agents or applications that require lightweight, durable, and easily accessible memory without the overhead of database administration.

Pros & Cons

Pros

  • Eliminates the need for manual database setup and management for agent memory.
  • Simplifies integration with AI agents via hosted MCP.
  • Provides built-in safety and reviewability for agent memory with versioning and limits.
  • Supports various types of structured memory relevant to agent operations.
  • Offers both agent-facing and server-side API access for flexibility.

Cons

  • Memory storage is deliberately small and explicit, which might not suit very large data storage needs.
  • Rate limits could be restrictive for applications requiring very high-frequency writes or reads per key.
  • Focuses specifically on JSON records, limiting other data types.

Key Features

Hosted Managed Connector Protocol (MCP) endpoint for agentsREST API for server-side applicationsDurable storage for JSON records (facts, state, settings, scratchpads)Automatic version history for updates and deletes (last 10 versions for 30 days)Scoped table limits (20 tables, 1,000 rows per table)Per-key rate limits (30 writes/min, 60 reads/min)Natural edits for plain-language memory updatesViewer links for large text or result sets

Pricing

Freemium

pumaDB offers a generous free tier with optional paid upgrades for advanced features.

View pricing

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pumaDB FAQ

How does pumaDB simplify memory management for AI agents?

pumaDB provides a specialized API for AI agents to store and retrieve structured memory, eliminating the need for developers to set up and manage traditional databases. It allows agents to remember facts, settings, task states, and other JSON records across sessions, making interactions smarter and more consistent.

Which teams would benefit most from using pumaDB?

Teams building AI agents or applications that require lightweight, durable, and easily accessible memory without the overhead of database administration will find pumaDB most beneficial. It is designed for developers who need to integrate agent memory simply and efficiently.

How does pumaDB compare to Zep Memory?

pumaDB focuses on providing a specialized API for AI agent memory, simplifying integration and eliminating database administration, whereas Zep Memory also offers memory solutions for AI applications. pumaDB supports various structured memory types and includes built-in safety features like scoped table limits and automatic version history.

What kind of data can pumaDB store for AI agents?

pumaDB is designed to store structured memory specifically as JSON records. This includes various memory types relevant to agent operations, such as user preferences, project conventions, and research clippings, allowing agents to retain context and learn over time.

Does pumaDB include a free tier?

Yes, pumaDB is available on a free tier. Paid plans are offered for users who require more usage and additional features beyond what the free tier provides.

What are the main limitations of pumaDB's memory storage?

pumaDB's memory storage is deliberately small and explicit, meaning it might not be suitable for very large data storage needs. Additionally, it focuses specifically on JSON records, which limits the storage of other data types.

Can pumaDB be integrated into existing server-side applications?

Yes, pumaDB offers both a hosted Managed Connector Protocol (MCP) for direct agent integration and a REST API for server-side applications. This dual access provides flexibility for developers to integrate memory management into various parts of their AI ecosystems.

Source: pumadb.ai

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