What problem does it solve?
This Skill provides advanced AgentDB capabilities for building distributed AI systems, multi-agent coordination, and sophisticated vector search applications. It solves the challenge of high-latency data synchronization and complex search requirements by offering sub-millisecond QUIC synchronization, multi-database management, and hybrid search, enabling seamless, high-performance AI operations across nodes.
Core Features & Use Cases
- QUIC Synchronization: Achieves <1ms latency data synchronization between AgentDB instances across networks with built-in encryption and auto-retry, ensuring real-time data consistency.
- Multi-Database Management: Coordinates multiple AgentDB instances for hierarchical or specialized memory architectures, allowing flexible data organization and access.
- Hybrid Search: Combines vector similarity search with metadata filtering for precise and relevant results, enhancing the accuracy of information retrieval.
- Use Case: Deploy a distributed multi-agent system where agents across different servers need to share and access a collective memory in real-time. Use QUIC synchronization to ensure all AgentDB instances are updated with sub-millisecond latency, allowing agents to make decisions based on the freshest data, regardless of their physical location.
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',
],
});
// Patterns inserted here will automatically sync across all peers
await adapter.insertPattern({ /* ... pattern data ... */ });
