
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.
What is pumaDB?
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
Pricing
pumaDB offers a generous free tier with optional paid upgrades for advanced features.
Reviews

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pumaDB FAQ
How does pumaDB simplify memory management for AI agents?
Which teams would benefit most from using pumaDB?
How does pumaDB compare to Zep Memory?
What kind of data can pumaDB store for AI agents?
Does pumaDB include a free tier?
What are the main limitations of pumaDB's memory storage?
Can pumaDB be integrated into existing server-side applications?
Source: pumadb.ai