pumaDB
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.
Our verdict
Who it's for
AI agent memory, simplified.
Who should look elsewhere
Memory storage is deliberately small and explicit, which might not suit very large data storage needs.
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 agents
- ✓REST API for server-side applications
- ✓Durable 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 updates
- ✓Viewer links for large text or result sets
Pricing
| Plan | Price | Billing | Notes |
|---|---|---|---|
| Organization Pro | $99 | month · per seat | Shared agent memory for a whole organization; Common tables for team memory; 50 shared company tables |