Overview
Purpose-built database for AI agents. DB9 extends Postgres with agent-specific features like conversation memory, vector search, and state checkpointing. Postgres-compatible means you can use existing tools and ORMs. Solves the "where do I store agent conversations and context?" problem.
Target Market
AI EngineersBackend DevelopersData Engineers
Best For / Not Ideal For
✅ Best For
- •Agent memory storage
- •Conversation history
- •Vector embeddings
- •Agent state persistence
Core Capabilities
Text Generation—
Image Generation—
Video Generation—
Audio Generation—
Code Generation—
Workflow Automation—
Agent Orchestration✅
API Access—
Fine-tuning—
Multi-language—
Key Features
- ✓Agent-optimized storage
- ✓Postgres compatibility
- ✓Agent state management
- ✓Vector storage (likely)
Security & Compliance
SOC 2 Type II—
ISO 27001—
GDPR / CCPA—
Encryption—
SSO—
RBAC—