What problem does it solve?
This Skill enables the creation of highly performant and scalable distributed AI systems by leveraging advanced AgentDB features like QUIC synchronization, multi-database management, and hybrid vector search. It addresses challenges in multi-agent coordination and real-time data consistency across network boundaries, providing sub-millisecond latency and robust data handling.
Core Features & Use Cases
- QUIC Synchronization: Achieve sub-millisecond latency data synchronization across distributed AgentDB instances with built-in encryption and retry.
- Multi-Database Management: Coordinate and query multiple AgentDB instances for complex data architectures.
- Hybrid Search: Combine vector similarity search with metadata filtering for precise and contextual results.
- Use Case: You are building a multi-agent system where agents across different servers need to share and access a collective memory in real-time. Use QUIC synchronization to ensure that all AgentDB instances are updated within milliseconds, 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
const adapter = await createAgentDBAdapter({
dbPath: '.agentdb/distributed.db',
enableQUICSync: true,
syncPort: 4433,
syncPeers: ['192.168.1.10:4433']
});
// Patterns inserted will automatically sync across peers
await adapter.insertPattern({ /* ... pattern data ... */ });
