What problem does it solves?
This Skill empowers you to build highly performant and distributed AI systems by leveraging AgentDB's advanced features, including sub-millisecond QUIC synchronization, multi-database management, and hybrid vector/metadata search, overcoming the challenges of data consistency and complex queries in distributed environments.
Core Features & Use Cases
- QUIC Synchronization: Achieve <1ms latency synchronization between AgentDB instances across networks with built-in encryption and automatic recovery.
- Multi-Database Management: Coordinate and query multiple AgentDB instances for complex data architectures and distributed knowledge bases.
- Hybrid Search: Combine vector similarity search with metadata filtering for highly precise and relevant results, enhancing retrieval accuracy.
- Use Case: Deploy a distributed multi-agent system where multiple AI agents across different servers need to share and retrieve knowledge from a vector database with near real-time consistency, enabling collaborative learning and decision-making.
Quick Start
import { createAgentDBAdapter } from 'agentic-flow/reasoningbank';
// Initialize AgentDB with QUIC synchronization enabled
const adapter = await createAgentDBAdapter({
dbPath: '.agentdb/distributed.db',
enableQUICSync: true,
syncPort: 4433,
syncPeers: [
'192.168.1.10:4433',
'192.168.1.11:4433',
],
});
